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aFnludoFriolcmhePmliacnatlEEmxpploosyuerees(Serum) Assessment of Decatur Chemical
E
Historically, employees a the 3M Decatur chemical plant have voluntarily participated in
& biennial fluorochemical medical surveillance program: Total organic fluorine was
measured until 1994 when perfluorooctanesulfonate (PFOS) and perfluorooctanoate
(PFOA) were assayed. However, the voluntary natureof the medical surveillance.
program does not necessarily provide for an adequate understandingofthe distribution of
fiyorochemical serum levels in the Decatur workforce. Therefore, the purpose ofthis
assessment was 10 randomly sample employees at the Decatur chemical plant in orderto
determine the distribution ofemployee serum fluorochemical levels according to jobs,
building locations and years worked. The overall geometric meanof serum PFOS in
g
chemical plant employees was 0.944 ppm. (95% C1 0.787-1.126). The highest serum
88
PFOS value measured was 10.600 ppm. Among film plant employees, the overall
= zz
seometric meanofserum PFOS was 0136 ppm (95% CI 0.114-0.161). Approximately F
1/3 ofthese film plant employees had past work history experience in the chemical plant,
The distributionofserum PFOS levels in this random sample assessment were similar to
those observed through the voluntary medical surveillance program. Because of
analytical chemistry method development, th study also assayed five fluorochemicals
that had not been previously assayed. Results from this assessment will be used to
consinict an exposure mix i the updated retrospective cohort mortality study ofthe
3M Decatur employee population. The data will also be used to rationalize subcohort
$ EPA-oTE
RGRAY
000811787u
001249
Pe------------------
- oo
comparisons in the ongoing analysisofhealth claims data between chemical and film plant employees from 1993-1998. Both the study protocol and final report are submitted.
001250
3M Company EPL-0006
Page 1 of 29
PROTOCOL
Epidemiology, 220-3W-05 Medical Department 3M Company St. Paul, MN 55144
Date: September 3, 1998
Title: Fluorochemical Employees
Exposure
Assessment
of
Decatur
Chemical
and
Film
Plant
Study
.
Start Date: September 3, 1998
Estimated Date of Final Report: December31, 1998
IRB Approval Date: September 3, 1998
Protocol Number IRB Approval
Exempt Expedited x
Principal Investigator: Co-investigators:
Geary W. Olsen, DVM, PhD' Perry W. Logan, MS? Cathy A. Simpson, RN
Jean M. Burris, RN, MPH' Michele M. Burlew, M.S." John C. Schumpert, MD, MPH'
Jeffrey H. Mandel, MD, MPH'
Study Director:
Jeffrey H. Mandel, MD, MPH
1. Medical Department, 3M Company, 220-3W-0S, St. Paul, MN 55144. 2. 3MEHS&R P.O. Box 2206,Decatur, Alabama 35609-2206
001251
ABSTRACT
3M Company EPL-0006
Page 2029
Employees at the 3MDecatur chemical plant have in the past voluntarily participated in a fluorochemical medical surveillance program. Analysis of the
surveillance data has not shown significant associations between the employees' clinical chemistry and hematology tests and either total serum organic fluorine or serum PFOS
levels. However, the voluntary nature of the medical surveillance program does not allow for a complete understandingofthe distributionof employee fluorochemical serum Tevels. In order to address this issue, we propose to randomly sample, for statistical purposes, 80 film plant and 125 chemical plant employees to determine their serum
levels for perfluorooctane sulfonate, perfluorooctane sulfonate amide, glycine derivative of perfluorooctane sulfonate, perfluorohexane sulfonate, perfluorooctanoic acid, N-ethyl perfluorooctanesulfonamido ethanol and N-methyl perfluorooctanesulfonamido ethanol. A sub-sampleofemployees (N = 30) will also be tested for total serum organic fluorine. Abrief questionnaire will also be administered to each employee inquiring about current and past work history as well as possible routesoforal ingestion. In addition to those. chosen for the random sample, all other chemical and film plant employees will be
offered the opportunity to have their blood tested for these fluorochemicals and respond to the questionnaire. Upon completion of this study, the results will serve as a reference regarding fluorochemical exposure reduction efforts in the chemical plant and allow for adequate characterization of the film plant population who will serve as a reference Population in health-based studiesof chemical plant employees.
001252
' INTRODUCTION
3M Company EPI0006
Page 3 of 29
Employees at the 3M Decatur chemical plant have in the past voluntarily
participated in a fluorochemical medical surveillance program. The surveillance program measured for total serum organic fluorine levels until themid-1990's when serum
perfluorooctanoate sulfonate (PFOS) determination, quantifiable by high performance liquid chromatograph mass spectrometry, became incorporated in the biennial medical surveillance examinations. Analysis of the surveillance data has not shown significant associations between the employees" clinical chemistry and hematology tests and either total serum organic fluorine levels [Roach, 1982; Schuman, 1982] or serum PFOS levels [Olsen et al. 1998]. However, the voluntary nature of the medical surveillance program
does not lend itself to an appropriate characterization of the distribution of fluorochemical serum levels. For example, presented in Table 1 is the distribution of fluorochemical serum levels by the numberof employees who voluntarily participated in the last two `medical surveillance examinations (Fall of 1994 and Spring of 1997). Ninety percent of the serum PFOS measurements were below 6 ppm. Nevertheless, it is possible that this distribution may be higher or lower as a result of unknown selection factors that make employees decide to participate, or not participate, in the medical surveillance program. `Therefore, the purpose of this proposal is to randomly examine, based on appropriate statistical methods, employees in the Decatur chemical plant in order to determine the
distribution of their serum fluorochemical levels. Conducting a random sample analysis will also allow researchers to better understand serum fluorochemical levels in context with the employees' current and past work history. In addition, a random
001253 :
3M Company
EPL0006
sample
of
the
neighboring
3M
Decatur
film
plant
employee
population,
Page 4 0f located at the
20
same site. will also be tested for their fluorochemical serum levels. The film plant
employees have served as a comparison population in prior health studies due to their
nonoecupational exposure to fluorochemicals. However, their actual serum
fluorochemical levels have not been discemed. Health studies can be more fully
appreciatedif the distributions of employee serum fluorochemical levels at both the
chemical and film plants are known.
METHODS
Overall Summary of Methods
`We propose to randomly sample, for statistical purposes, 80 film plant and 125 chemical plant employees to determinetheirserum levels for perfluorooctane sulfonate, perfluorooctane sulfonate amide, the glycine derivative of perfluorooctane sulfonate (i.c., the acetate anion), perfluorohexane sulfonate, perfluorooctanoic acid, N-ethyl perfluorooctanesulfonamido ethanol and N-methyl perfluorooctanesulfonamido ethanol, A sub-sample of employees (N = 30) will also be tested for total serum organic fluorine. No other serum tests will be performed. A brief questionnaire will also be administered to cach employee inquiring about current and past work history as well as possible routes of oral ingestion. In addition to those chosen for the random sample, al other chemical and film plant employees will be offered the opportunity to have their blood tested for these fluorochemicals and respond to the questionnaire.
`+
001254
SampleSize Issues
3M Company EPL0006
Page Sof 29
Four critical factors were considered to decide the sample size for ths study.
First, itis important that such a sample be randomly chosen from the employee populations of both the chemical and film plans. Second, the sample size is driven by the need to provide confidence that the exposure in the film plant is very small relative to that of the chemical plant. Third, the sample size should adequately characterize the exposure levels within the chemical plant workplace. Fourth, employees in the chemical and film plant shouldbeoffered the opportunity to know what their luorochemical serum levels are
To address the first two points in the above paragraph, we need to determine the.
lower 95% confidence bound on the mean of the difference between the serum
fluorochemical levels ofthe chemical plant and the film plant. Provided in Appendix A are the details of the methods used by Dr. Timothy Church, associate professor at the
University of Minnesota, who served as a consultant statistician for this protocol development. Briefly, we assumed, based on past medical surveillance data, that the
mean serum PFOS levels of the chemical plant employee population is 1.85 ppm. We do not know what the mean serum POS level isoffilm plant employees. However, pooled serum data suggests that the US. general population serum PFOS level is in the range of
20 pb 10 40 ppb. Therefore, we assumed theDecaturfilm plant population will have a mean higher than the general population because of its physical proximity to the chemical plant. If the mean serum PFOS level for the film plant population was assumed to be:
200 ppb. the mean difference between the chemical and film plant population would be
001255
3M Company
EPL-0006
1.65 ppm (1.85 ppm minus 0.2 ppm).
Presented
below
is
the
sample
size
Page needed
6 of from
29
both the chemical and film plant populations to calculate a lower 95% confidence bound
on this mean difference.
L`oTowtealrs9a5mp%lecoSnifziedneenecdeebdofurnodmobnotdihffpelranetnsc:e:
12 16
13 21
14 32
15 66
155 16 121 365
Thus, to obtain a lower 95% confidence bound of 1.50 ppm, based on a mean difference. of 1.65 ppm, 33 employees in the film plant and 33 employees in the chemical plant will have to have their serum PFOS levels determined. As canbe seen from the above chart, the sample size becomes increasingly large as the lower 95% confidence bound becomes closer to the actual mean difference of 1.65 ppm. Data in Appendix A also provide sample size calculations if the film plant employee population is assumed to have a higher mean serum PFOS level (300 ppb). In this case, to obtain a lower 95% confidence bound of 1.50 ppm, based on a mean difference of 1.55 ppm (1.85 ppm minus 300 ppb), a total sample size of 760 employees is required from both plants.If this is reduced to a lower 95% confidence bound of 1.4 for a mean difference of 1.55 ppm, a much smaller
sample size is required (a total of 125 employees from both plants). There is a degree of
uncertainty in estimating, for statistical sample size consideration, what the mean serum PFOS level of the film plant population is because approximately 10 percent of the film plant employees may have prior work experience in the chemical plant.
In order to address the third issue (sample size should adequately characterize the exposure levels within the chemical plant workplace), we propose to stratify the random
001256
'
3M Company
EPL-0006
sample by building location within the chemical plant. To prevent misclassificPaatgieon7of0f 29
potential workplace exposure experience, we will analyze samples from film plant
employees by those who have and have not ever worked in the chemical plant. This is
necessary because of the suspected long half-life of serum PFOS (estimated to be at 1000
days).
An important caveat that must be considered is that the above sample size
calculations have used serum POS levels from previous voluntary samples to estimate mean and standard deviation values for serum levels of this chemical. However, in this study we will measure for five specific fluorochemicals (perfluorooctane sulfonate amide, the glycine derivative of perfluorooctane sulfonate, N-ethyl perfluorooctanesulfonamido ethanol and N-methyl perfluorooctanesulfonamido ethanol) about which we have no.
information, at this time, as to serum levels. It is suspected that these chemicals are not
persistent as theyare metabolized to PFOS; thus any difference between serum levels in employees in the film and chemical plants may be quite small,
Study Design
`With the above issues considered, the study investigators propose the following research design:
1. Randomly sample 80 film plant employees. We will assume 80% participation which will provide a study population of approximately 65 employees of which we estimate 50 1055 will have worked only in the film plant. The remainder will have worked in both the
001257
'
3M Company
EPL-0006
chemical
and
film
plants.
(This
is
based
on
the
assumption
that
10
percent
of
Page 8 of Decatur
20
employees have worked in both plants as mentioned by Decatur Human Resources
personnel.) The random sample will be chosen by the following means: a) determine all
full-time current film plant employees; b) using a random number generator algorithm,
select a sample size of 80 film plant employees.
2. Randomly sample 125 chemical plant employees who are proportionately stratified by the following building locations: 1, 2/48, 3,4 and 38/51. We will assume 80% participation which will provide a sample size of approximately 100 employees. The random sample will be chosen by the following means: a) determine all full-time current chemical plant employees; b) usinag random number generator algorithm, select a sample size of 125 employees proportionately to the number of employees who work in the five building locations (1, 2/48, 3,4 and 38/51). This random sample of 80 film plant and 125 chemical plant employees, if 0% participation is obtained, should provide 295% lower bound confidence interval of, atleast, 1.5 ppmif the mean PFOS difference is 1.65 ppm based on assuming the mean employee serum levels are 1.85 ppm for the chemical plant and 0.2 ppm for the film plant.
3. In addition, to the above random samples; we propose to sample all employees (n = 68) who are assigned to the wastewater treatment plant (buildings 36 and 57).
001258
3M Company
EPL-0006
4.
Because
of
concems
that
may
be
raised
by
this
study,
we
will
also
offer
to
Page 9 test all
of 29 full-
time chemical or film plant employees who desire to know their serum levels of these
seven fluorochemicals.
S. Study participation will require the following:
a. Venipuncture with the collectionofone vialof blood (approximately 10 cc) for the determinationofihe seven fluorochemicals. Its anticipated that total serum organic fluorine can also be determined from the same one vial of blood for the 30 individuals who are asked to participate in this analysis.
b. Written response to abrief questionnaire that inquires about current and past work history along with the frequency of hand washing and use of gum, chew (tobacco) and cigarette habits of the employee while at work (see Appendix B).
c. A signed consent form by the employee (see Appendix C).
6. Each randomly chosen employee (film and chemical) wil receive a leer of invitation to participate by plant management. A copy of this letter will be sent to the employee's immediate supervisor. There will also be plant-wide communication which will describe the purpose of this blood collection program (i.e. to determine the distributionof employee serumlevelsof these fluorochemicals and allow employees to
001259 i
'
3M Company
EPI-0006
know their own individual values should they so desire).
~All
study
Page 10.0 participants who
29 are
randomly chosen as well as those who volunteer will be informed of their own individual
results by a letter sent to them from the 3M Medical Department. Aggregate results of
the study will be communicated to plant management and employees.
Eluorochemical Analyses
All blood wil be collected at the Decatur plant by MedAccess (an occupational health clinic located in Decaiur, Alabama) under the direction of Cathy Simpson, RN. Based on this study design and the four employee shifts at the Decatur location, it is estimated that blood collection will take approximately four days. MedAccess will centrifuge the blood to obtain the serum. MedAccess will provide the serumtoCathy Simpson, RN who will ship the samples to the 3M Medical Department (St. Paul, MN). Samples will be catalogued and then sent to the 3M Environmental Laboratory for determination of serum perfluorooctane sulfonate, perfluorooctane sulfonate amide, glycine derivative of perfluorooctane sulfonate, perfluorohexane sulfonate, perfluorooctanoic acid, N-ethyl perfluorooctanesulfonamido ethanol and N-methyl perfluorooctanesulfonamido ethanol, via high performance liquid chromatography mass spectrometry, under the direction of Dr. Kris Hansen. Total serum organic fluorine will be determined by the 3M SMD chemical analytical laboratory under the direction of Dr. Venkateswarlu Pothapragada.
001260
Data Analysis
3M Company PageEP1I1-00f02096
Through the use of appropriate statistical techniques (c.g. student t-tests, multivariable regression analysis) using SAS software, we will conduct the following analyses:
1. Compare responders and nonresponders from those chosen in the random sample as to their demographic characteristics (e.g. age, gender, years worked)
2. Compare mean serum fluorochemical levels between the film and chemical plant random samples. Determine the lower 95% confidence bound of the mean difference between these populations.
3. Compare the mean value between the film plant and the chemical plant population Who participated (random sample plus those who are not part of the random sample). Determine the lower 95% confidence bound of the mean difference between these populations.
4. Characterize and compare the mean fluorochemical serum measurements within the
chemical plant by building location.
:
S. Compare serum levelsby questionnaire items (e.g., examine mean serum fluorochemical levels of those who may have frequent hand to mouth contact via the
'
001261
'
3M Company
EPL0006
compilation
of
their
use
of
gum,
chew
and
cigarettes
to
those
who
do
not
Page 12 0f have frequent
29
use).
It should be noted that this study is purely an exposure assessment exercise; medical surveillance information (e.g. serum chemistries, hematology, health questionnaires) is not a component of this study. This information is voluntarily collected on a biennial basis and will be next offered, voluntarily, to Decatur chemical plant employees in the Spring of 1999.
StudyTimeFrame
ProStp udyoTis meFerad me
Task.
Estimated Time Frame
1. Obtain current employee list fromDecaturHR
August, 1998
2. Determine random samples
August, 1998
3. Send invitation letter to participate to random sample September, 1998
4. Blood collection
Sept/Oct. 1998
5. Serum analyses under direction by 3M Env. Lab Serum analyses under direction of Dr. "V*
Oct. - Nov., 1998 Oct. - Nov. 1998
6. Data Analyses
Nov. - Dec., 1998
2. Final report
Dec. 1998
001262
DISCUSSION
3M Company EPL0006
Page 13 0f 29
`The objectiveof this proposed research study is to characterize , via appropriate statistical techniques using random sampling, the distribution of employee serum levels of serum perfluorooctane sulfonate, perfluorooctane sulfonate amide, glycine derivative of perfluorooctane sulfonate, perfluorohexane sulfonate, perfluorooctanoic acid, N-cthyl perfluorooctanesulfonamido ethanol and N-methyl perfluorooctanesulfonamido ethanol at the 3M Decatur chemical and film plants. In addition, for30 employees the percentage ofserum total organic fluorine that is represented by these seven fluorochemicals will be calculated.
`The data obtained from this exposure assessment investigation will be important for several reasons. This information will allow for a better understanding of the exposure distribution of serum fluorochemical levels in both the chemical and film plant populations. Second, these data may serve as future reference regarding human exposure assessment for the film as well as the chemical plant in the area of health studies and exposure reduction. Third, the datamaybe used for the constructionofan exposure matrix for the anticipated update of the retrospective cohort mortality study of the
Decatur employee population. Fourth, this information may provide further insight
regarding understanding current fluorochemical serum levels with past and present employee work history data as well as possible routes of oral ingestion. Finally, this study will allow for the opportunity for chemical plant employees to know their own serum levels for these seven fluorochemicals should they so desire.
001263
i
3M Company
EPI-0006
The
greatest
limitation
to
the
success
of
this
study
is
employee
Page 14 participation
of
29
Because random sampling is critical to the ultimate interpretation of the results from this
study, it is important that there be high (i.c., 80%) participation levels from those chosen
0 participate. It must be emphasized that data analyses will be dependent upon high
participation of those chosen in the random sample; nonparticipants will decrease the
sample size. Although other employees may volunteer to have their blood drawn, they
cannot replace a nonparticipant in the random sample within the data analyses devoted to
the random sample component of this study. In order to obtain high participation rates of
those employees chosen in the random sample, letters of invitation will be sent to those:
chosen to participate by 3M Decatur plant managementandthe 3M Medical Department. Supervisors will be asked to strongly encourage participation of those randomly chosen
employees who report to them.
Individual data are considered confidential information and will not be disclosed to
anyoneoutsidethe 3M Medical Department without the employee's written consent.
Individual results will be communicated, by letter, to the employee from the 3M Medical Department. Aggregate findings will be communicated to employees and may be used in
publications or public presentations.
`The proposed study must obtain 3M IRB approval. The protocol, any addenda to
the protocol, data analyses, and a copy of the final report will undergo a Quality
Assurance audit according to the Standard Operating Procedure entitled, "Procedure for the Creation, Auditing, and Review and Approval of 3M Epidemiology Final Reports.
Permanent records of all other data generated during the course of this study are subject
001264
3M Company EPL-0006
to privacy and confidentiality considerations. All data gathered or generatedPiangcelu1d5inogf 29 protocol addenda and the final report will be archived by the Medical Department, 3M Company, St. Paul, Minnesota, according to the Standard Operating Procedure entitled, "Procedure for the Archiving ofa 3M Epidemiology Study."
001265
3M Company EPL-0006
Page 16 0f 29
REFERENCES
Roach DE (1982). Company:St. Paul,
Fluorochemical Control MN May 25, 1982.
Study.
3M Unpublished Report.
3M
FSlcuhourmocahnemLiMcal(1C9o8n2t).rLoletStteurdty.o
Dr. Frank April 29,
Ubel 1982.
(3M
Medical
Director)
concerning
OcllisneicnalGcWh,emBisutrrriiessJ,Mh,eMmaantdeollJoaHg,nydZohboerlmLonRes(1i9n98r)e.latAinonetpoisdeemriuomlloegvieclsinovfestigation of pUenrpfulbuloirsohoecdtaRneepsourltf.ona3tMe iCnommaplaenyf:lSuto.roPcahuelm.i,cMaNl.p,roAdpurcitli2o2n,em1p99l8o.yees. 3M
001266
TABLE |
3M Company EPI-0006
Page 17 of 29
Distribution of Serum PFOS Levels by Year, 3M Decatur Male Employees, Medical Surveillance Results
PFOS Level 0-<1ppm 1-<3ppm
N 1994 Data %
i
2
59
66
3-<6ppm
"16
18
>=6ppm Total
4
4
8
100
* see reference Olsen et al (1998)
1997 Data
N
%
29
35
38
45
12
14
5
6
84
100
001267
APPENDIX A
3M Company EPI-0006
Page 18 of 20
001268
3M Company
EPI-0006 Page 19 of 29
Sample size calculation for the study of PFOS levels in the blood of workers
Authored by Dr. Timothy Church
Introduction
The sample size calculations are based on the analysis of data from a non-random
voluntary sample from the chemical plant in Decatur. There was a total of96 observations on PFOS levels and 95 on PFOA levels. Table 1 gives the summary
statistics on each distribution. Table 2 gives the summary of the log distribution. Figures 1 and 2 are the smoothed natural distributions for PFOS and PFOA,respectively,
and Figures 3 and 4 are for the logarithmic counterparts. Note that the log distributions are more symmetric that the natural scale variables. The sample size focused on the.
PFOS levels.
Method
`The sample size is driven by the need to provide confidence that the exposure in the film plant is very small relative to that of the chemical plant. As shown in Table 1, the mean PFOS level in the voluntary samples is 1.855ppm and the acceptable level for the film
`plant is below that and expected to be in the range 200-300ppb. The statistic of interest
for the sample size is the difference between the chemical plant (assumed to have a mean
of 1.855ppm) and the film plant (assumed to have a meanof 0.2-0.3ppm). The object is 10 compute the sample size necessary to produce 95% confidence that the difference is at
least delta, in order to place the film plant mean exposure well below that of the chemical
plant. If such confidence does not result, then further study of the film plant exposures is
`warranted.
`The sample size calculations were carried out by assuming that the log of the
concentration was normally distributed, based on Figure 3, and that the standard deviation
oanndthPeFlOoAg,scwahlielewassho1w,irneggadridflfeesrsenotfmteheanmevaanl,uebsa,sbeodthonhaTvaeblaes2t.anNdoatred dtehavtiabtoitohn PofFOabSout
1, even though the means and medians are quite different In order to perform the analysis on the log scale, the means had to be transformed to the log scale, by solving the formula
E(O=exp(mutsigma'l2),
for mu where E(X) is the mean on the original scale, and mu and sigma = 1 are the mean and standard deviation on the log scale. For example, under the assumption that the natural meanis 0.2ppm the mean for the log PFOS level in the film plant would be
In(0.2) - sigma'/2 = -2.10944.
`Transforming the means to the log scale allows computation of the expected difference in
the lon erate and a lnwer 95% confidence bound on the difference. The difference on the
001269
3M Company EP1-0006
Page 20 of 29 log scale centers on mu, -- muy and the variance of the difference is simply 2/n, where mu, and muy are the means for the chemical and film plants, respectively, and is the number ofobservations per plant. Under the null hypothesis, the mean on the natural scalefor the film plant is the observed mean of the chemical plant (1.855ppm) minus the minimum desired difference (e.g., delta = ppm). Under the altemative hypothesis it is simply either 0.2ppm or 0.3ppm. The mean for the chemical plant is fixed at 1.855ppm for both the null and altemative hypotheses. By this formulation, the altemative hypothesis is the difference of the tranformed altemative-hypothesis means (.g., 1.855ppm and 0.2ppm) and the null hypothesis is the difference of the transformed null hypothesis means (i.., 1.855ppm and (1.855-- delta)ppm). From this formulation, a standard single-sample, two-sided, normal-theory sample size can be calculated, using alpha = 0.5 and beta = 0.05. If the minimum difference is rejected in favor of the alternative, the confidence coefficient on the `minimum difference delta wil be at least 95%. `Standard sample size calculations were performed using S-Plus 4.5 and the transformed `means, and sigma = 1.
Results
`Table 3 gives sample sizes based on the lower 95% confidence bound for the difference in mean PFOS level between the chemical plant and the film plant being at least dela. Sample sizes were calculated assuming means of 200ppb and 300ppb for the film plant. For 300ppb the sample sizes are given with delra equal to 1.0 through 1.5ppm in 0.1ppm steps, and for 200ppb, with delra equal to 1.2 through 1.6 and to 1.55. Sample sizes given are the sum from both plants assuming equal samples from each, i.c., the table gives N `where N=2n;=2n;, where n; is the sample from planti = film or chemical. So, for example,if the film plant has a true level of 200ppb, then the expected lower confidence bound on the difference would be 1.55if the total sample size were 122, 61 from each plant.
Recommendation
A lower confidence bound of 1.55ppm, which would assure that the film plant has an upper bound of 300ppb (or about 0.5ppm)if the true concentration were 200ppb, is achievable with 125 from both plants. Ifthe true concentration were 300ppb, a lower bound of 455ppb could be attained with a similar sample size. Given that nearly 100 volunteers were obtained previously, this also seems like a feasible number of employees in whom to focus solicitation efforts.
001270
Table 1. "** Summary Statistics for data in:
Min: 0.10p0r0o0s 0.05p0r0o0a
1stMQeaun::
01..8659510215
0.38900 1.32894
3MreddQiua.n:: 21..4382255000 11..8076000000
TotalMaxN:: 969..0903000000 965..0301000000
StdDWAe'vs.:: 01..0703070203 11..0008050705
DecExp97 e+
Table 2. + Sumary Statistics for data in: Min: L-o2g..30P2R5O9S Lo-2g..9P95F7O3A
1stMQeua.n:: -00..2326896380 --00..9142411286 3MreddQiuan.:: 00.3208912365 00..6025588217 TotalMaxN:: 926..209050506 91..0606090509 StdWDAe'vs.:: 00..0503031000 11..0000900020
DecExp9? e+
3MCompany EPI-0006
Pa21gofe29
001271
3M Company EPI-0006
Page 23 of 29
Table 3. Sample size table for Decatur Plant Study
Assumingfilm plant concentration = 300ppb Lower 95% Confidence Bound on Difference: ~~ 10 1.1 12 13 Total sample size for both groups (N=2ny=2n;): 20 26 36 58
Assuming film plant concentration = 200ppb Lower 95% Confidence Bound on Difference: 12 13 14 15 Total sample size for both groups (N=2n,=2nz): 16 22 32 66
14 1S 126 760
155 16 122 366
001273
!
APPENDIX B
3M Company EPI-0006
Page 24 of 29
001274
3M Company EPI-0006
Page 25 0f 20
DECATUR EMPLOYEE QUESTIONNAIRE aTnhankinytohuefaorpppraorptirciiaptaetibnogr.in this research study. Please respond to each question with either a shortansweror
nae
EMPLOYEE NUMBER.
1. Have you verworked in the Chemical Plant?
Yes O
No OJ
If no, please go to question 2
yes
a. How many years haveyouworked inthe chemical plant? Years=.
b. What year did you startworking inthechemical plant? Year =
2. Please indicate if you have ever worked in the following areas. Mark an in al boxes that apptolyoyu.
O a Building 1
0 b. Buidings 2 andlor 49
Oc. Buiding 3 (OSCLIOSF area)
0. Buiking3s (besides OSCLIOSF area)
0 e. Buiin4g North
Ot. Biking 4 milloom/extruder
Oo. Building 42 (Packaging FC inertsJ) h. Film Plant
Oi. Wa(Bsutielwdiantgesr3t6reaantdme5n7t)plant
C1}. Other (Please specify)
3. `Tahnisnwkeirngthaebofoultlotwhienjgoqbtuehsattiyoonsu.worked for the lopnerigodofetimsewhtile employed at 3M Decatur, please a dobre 000000
b. When did you work there: From___(year) to___(year) .. Average number of hours per week on tis ob? Hours =. d. When you worked overtime, what was your usual job assigament?_______
001275
3M Company EPL-0006
Page 26 of 20
4. Please answer the folowing questions regarding your current ob.
Current plant:
Current job tie
Chemical [J
Fim 0
What year did you start working in this current job: Year= ______
`Average number of hours per wok on this job: Hours = When you work overtime, whatisyour usual ob assignment?
5. Pleas indicate in which area(s)youwork inyourcurrentjob. Mark an * in all boxesthatapply to you.
OJ a. Buidin1g
[0 b. Build2ianndglosr 49
0 c. Buiding 3 (OSCLIOSF area)
00d. Building3s (besides OSCLIOSF area)
OJ e. Buiding 4 North
O01. Building4s milroom/extruder
0 g. Bui42d(Paicknagigng FC inertsJ) h. Fim Plant
Oi Wa(sButiolwdaintgesr3t6reaantdme5n7t)plant
J. Other (Please specify)
6. While at work, do you chew gum? Damas O frequenty [J sometimes [J rarely
[1 never
7. While atwork, Go youchew tobacco? O aways [Jtrequenty [J sometimes [J rarely
[J never
8. While at work, do you smoke cigarettes? Oaways OO frequenty [J sometimes [J rarely
[J never
9. How frequentlydoyou wash you hands before eating while in the workplace? Mark only one box. DO aways [J trequenty [1 sometimes [J raraly [J never
10. Whats your height? 11. Whatis your weight?
Foot= Pounds =
Inches =____
001276
APPENDIX C
3M Company EPL-0006
Page 27 of 29
001277
:
3M Company
EPI-0006
Page 28 of 29
CONSENT FORM FOR COLLECTION OF BLOOD FOR SERUM FLUOROCHEMICAL LEVEL DETERMINATION
INTRODUCTION
You are being invited donating one test tube
to of
participate in blood. Your
a research blood will
study. Your participation involves only be tested for the amount and kind
orfevfileuwortohicshecmoincsaelnst iftocronmtcaairnesf.ulNlyoaontdhebretessutrsewyiollurbqeupeestrifoonrsmeadreoannysowuerrebdloboedf.orePlyeoause
amnaskweera adnecyiqsuieosnttioonpsarttihcaitpyatoeu. mTahyehpalvaentanbuoruste,thCisatshtuydyS.impson, RN, will be available to
PURPOSE OF STUDY `fTohuenpduirnpowsoerkoefrtshaetstthuedyDeicsattoudreptlearnmt.ineThhioswimnfuocrhmaatniodnwwhialtl tasyspiessto3fMfltuoorbeotctheermicals are understand. fluorochemicals and how to reduce such exposures in the workplace.
SYToUurDbYlPooRdOwiCllEbDeUdRraEwSn with a needle stick and require one tube (10 ml) of blood. The pbelrofolducwirlolocbteanaenasluylfzoendaftoerasmeivdeen, ftlhueogrloycchienmeicdaelrsi:vapteirvfelouforpoeorcftlaunoersouolcftoannaetes,ulfonate, eptehrafnlouloraonhdexNa-nmeetsuhlyflonpaetref,lpueorrfoloucotraonoecstualnfooincaamciidd,o Net-heatnhoyll.pAerfsluubo-rsoaomcptlaenoefsuelmfpolnaomyiedeos wyiolulrabllsooodb.e tAestleetdtefrorwitloltablesseernutmtoorygoauniicnfflouromriinneg.yoNuoooftyhoeurrtbesltosowdilllebveelspeurpfoonrmed on `ceommpplloeyteieonionqfuitrhienagnaalbyosuets.cuArrberniteafnqdupeassttiownonraikrheiwsitlolryalassowbeellaadsmipnoissstiebrleedrtoouteeascohf oral ingestion.
PTOhTeEoNnlTyIdAiLscRomIfSoKrtS/yBoEuNmEaFyIfTeeSl is from the needle stick. You may also have some temporary redness/bruising/swelling in this area after blood collection.
BENEFITS
iTnhfeorremawtililonbeganioneddirfecrtombetnheifsitstfurdoymwiylolurfupratrhtirchipealtpiouns iunndtehrsssttaunddy.huHmoawneveexrp,ostuhrees to
fluorochemicals. overall findings,
wYitohuorutinadniyvisdpueaclifriecsuelmtsplwoilyleebeidceonmtmifuyniincgaitnefdortmoatyiooun,onwliyl.l
The be
study's
communicated to all Decatur employes.
001278
3M Company PageE2P9-0of00269
ICfOyMouPEsuNffSerATinIjuOryNor a medical condition that appears to be the result of participating in
tthhiesesvteundty,ofyoaurewislelarbceh rreefleartreedditnojuarny,otchoemrpheenaslatthicoanrewiplrlofbeessdieotnearlmaitnendoocnosatctaosyeoub,y cIanse
basis 8670,
by of
3M. The contact for medical the 3M Medical Department.
compensation
is
Jeffrey
Mandel,
M.D.,
612.733.
CONFIDENTIALITY p`Trheeseonvteartailoln.resYuolutsrcnoallmeectweidllinnothtisbestruedvyeamlaedy ibneaunsyedpuibnlipcuabtliiocnatoironosthoerr pduobcluicments yinotueonndleyd.fYooruprubilnidciavtiidounaelxraemsiunlatstiwoinll. bYeoucornisniddievriedduaclonrfeisduelntstiwailllinbfeorcmoamtmiuonniacnadtewidlltonot bedisclosed to anyone outside the 3M Medical Department without your written consent.
ISfUyBouJEhCavTeRaInGyHqTueSs/tAioVnAsIaLbAouBtItLhIeTsYtudOyFnIowN,FoOrRlMatAerT,IoOr Nin the event of a research
Mrealnadteedli(n6j1ur2y-7o3r3e-m8e6r70g)e.ncyF,orcoanntsawcetrCsattohqyuSeistmiposnosn,abRouNt (y5o5u2r-r6i3g4h1ts)oirnDrre.garJedftforetyhis
research, you 733-5181.
may
contact
Dr.
Larry
Zobel,
Chair,
3M
Institutional
Review
Board
at
612-
VOLUNTARY Participation in
PARTICIPATION AND WITHDRAWAL this study is voluntary. Refusal to participate
will
involve
no
penalty
or
sltosusdyofatbeanneyfittismteofwohriacnhy yreoausaorne. otherwise entitled. You are free to withdraw from the
SUBJECT CONSENT
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u`qnudeesrtsitonasndI tmhaeyschoapvee oafbomuyt tphairsticcoinpsaetniotnfionrtmhiosrstthuedys,tuadyn.d tIhaatlsaollcoofnfmiyrmqutehasttiIons have
0beepnaratincsiwpeatreedinttohmeystsuadtyi.sfaIcutniodne.rs1taanmd stihagtniInagmthnisotcownasievnitngfoorrrmelveolausnitnagrialyn,yaonfdmIydelseigrael
wriilglhtrsebceyisvieganicnogptyhiosfctohnissesnitgnfeodrmc,onosrebnyt
participation form.
in
this
study.
I understand that 1
Signature Printed Name
Date
001279
i
--
FINAL REPORT
Epidemiology, 220-3W-05 Medical Department 3M Company
StPaSu 544lMN
Title:
Fluorochemical Employees
Exposure
Assessment
of
Decatur
Chemical
and
Film
Plant
Final Report Date: August 11, 1999
Study Start Date: September 3, 1998 Protocol Number: EPI-0006
IRB Approval (#98082) Exempt: Expedited: X IRB Approval Date: Sepiembe3r, 1998
Study Archive Number: ARCH-021
Principal Investigator:
Co-investigators:
Geary W. Olsen, DVM, PhD!
Perry W. Logan, MS* Cathy A. Simpson, RN?
Kristen J. Hansen, PhD Jean M. Burris, RN, MPH' Michele M. Burlew, MS'
John C. Schumpert, MD, MPH'
Jeffrey H. Mandel, MD, MPH'
Study Director:
Jeffrey H. Mandel, MD, MPH
1. 3M Medical Department, 220-3W-05, St. Paul, MN 55144-1000 2. 3M Decatur, EHS&R, P.O. Box 2206, Decatur, Alabama 35609-2206 3. 3M Environmental Laboratory, 2-3E-01St,. Paul, MN 55144-1000
001280
EpLooa0ms Page 20185
QUALITY ASSURANCE STATEMENT FTiIlTmLPElaOnFt ESmTpUlDoYy:eesFluorochemical Exposure Assessment of Decatur Chemical and GTuhiedealbionvees sftourdGyowoadsEepxiadmeimnieodlofgoyr qPuraalcittiyceasssfuorraOnccceupinatkieoenpailnganwditEhntvhiersopmireinttoaflThe EEppiiddeemmiioollooggiycTRaesskeaGrrcohupa.s pTuhbelifsihneadl rbeypotrhte wCahsemdiectaelrmMianneudfatcotbuerearnsaAcscsuorcaitaetrieofnlection boefltohwe. data obtained. The dates of Quality Assurance activities on this study are listed
Study Initiation Date: 09/03/98
Study Completion Date: 08/11/99
TYPE OF AUDIT: | DAAUTDEIOTF|| DRAETPEOFRITNEDDINTGOS| FIDNADITNEGS
INPVREISNTCIIGPAATLOR| REPOR3TMED TO
ADNIDRSECTTUODRY | MANAGEMENT
APrdodteoncdola,,DDraatfat PFirloet,oDcroalft 06728159 06728795
06728759
Final Report
(EinalRepon
| 08/09/99 | 08/0999 | soo
eAprcihdievmiinog:logAylarrcahwivdeastyasatnedm.the final report will be fled in the Occupational Medicine
Signatures (and date) ofQA Audit Team Fpusse dlink lil17
Loire APopsy. 8/ajag
001281
EPLO03OmG Page 3 of85 ABSTRACT
In the past, employees at the 3M Decatur chemical plant have voluntarily participated in a fluorochemical medical surveillance program. ~ Analysis of the. surveillance data has not shown significant associations between the employees' clinical chemistry and hematology tests and either total serum organic fluorine or serum PFOS (perfluorooctane sulfonate) levels. However, the voluntary nature of the historical `medical surveillance program did not provide for a complete understanding of the distribution of fluorochemical serum levels in the Decatur workforce. Therefore, the purpose of this study was to collect data by randomly sampling employees in the Decatur chemical plant inorderto determine the distribution of employee serum fluorochemical levels according to demographics, current and longest heldjobs, years worked and building locations. In addition, a random sample of the neighboring 3M Decatur film plant employee population, located at the same site, was tested to determine fluorochemical serum levels in order to characterize the differences between the two. plant populations.
A total of 232 employees was randomly selected for serum sampling: 186 (80%) participated in the blood collection which occurred in the Fall, 1998. An additional 77 employees requested blood testing for the determination of fluorochemical levels. Of the. random sample of employees who participated, 126 were from the chemical plant and 60 from the film plant. There were 61 volunteers from chemical and 16 volunteers from film; thus, all chemical participants numbered 187 employees and all film participants numbered 76 employees. At the time of blood collection, employees responded to a twopage questionnaire that inquired about their current and longest heldjobs, the buildings
001282
EPLO03OMG Page 40785 they had worked in(if chemical employees). and possible routes of oral ingestion of
fluorochemicals through cigarette smoking, chewing gum, chewing tobacco and hand
washing practices.
Sera samples were extracted using an ion-pairing extraction procedure. The
extracts were quantitatively analyzed for PFOS (perfluorooctane sulfonate), PFHS
(perfluorohexane sulfonate), POAA (perfluorooctanoic acid), PFOSAA (N-ethyl
perfluorooctanesulfonamido acetate) PFOSA (perfluorooctane sulfonate amide), MS70
(N-methyl perfluorooctanesulfonamido acetate) and M556 (perfluorooctanesulfonamido
acetate) using high-pressure liquid chromatography/electrospray tandem mass
spectrometry (HPLC/ESMSMS) and evaluated versus an extracted curve. PFOS, PHS,
POAA, PFOSAA and PFOSA levels were determined by Northwest Bioanalytical
Laboratory. M570 and M556 levels were determined by the 3M Environmental
Laboratory.
The overall arithmetic means (and range) and the geometric means and ( 95%
confidence interval) of the random sample of chemical employees (n = 126) for the seven
fluorochemicals are presented below (in ppm):
Chemical Plant
Arithmetic Mean (and Range)
Geometric Mean (and 95% CI)
PFOS PFHS POAA PFOSAA M570 PFOSA M556
1.505 (0.091-10.600) PFOS 0.345 (0.005 -1.880) PFHS 1536 (0.021 -6.760) POAA 0.023 (0.001 -0.269) PFOSAA 0.151 (0.008 -0.992) M570 0062 (0.0005-0612) ~~ PFOSA 0052 (0.001 - 0.406) M56
0941 (0.787 1.126) 0.180 (0145-0223) 0899 (0.722 1.120) 0.008 (0.006-0011) 0.081 (0.067 - 0.098) 00I3 (0.009-0018) 0022 (0018-0029)
001283
EPLO03OmG
`The
overall
arithmetic
means
(and
range)
and
geometric
means
(
95%
Page 5 of 85 confidence
interval) of the random sampleoffilm plant employees (n = 60) for the seven
fluorochemicals are presented below:
Arithmetic Mean (and Range)
Film Plant Geometric Mean (and 95% CI)
PFOS 0.172 (0015-0946) PFOS 0.136 (0.114-0.161)
PFHS 0023 (0001-0210) PFHS 0014 (0011-0018)
POAA 0071 (0.006 -0.298) POAA 0.049 (0.039 -0.062)
PFOSAA 0004 (0001-0038) PFOSAA 0.003 (0.002-0.003)
M570 0020 (0.001-0454) M570 0.008 (0.006 -0.011)
PFOSA 85% of samples <LLOQ* PFOSA 85% of samples < LLOQ*
M556
0008 (0.0001-0307) _ M556 0.003 (0.002 -0.004)
LLOQ = lower limit of quantitation for PFOSA ranged from 0.001 - 0.010 ppm.
`The above values showed high variability according to the employees' demographics, work history and building locations. Among the random sample (n = 126) of chemical employees, cell operators had the highest serum levels of PFOS. (geometric mean = 1.970 ppm) and PFHS (geometric mean = 0.697 ppm). However, sera from chemical operators and maintenance workers had the highest levels of other fluorochemical analytes (PFOSAA, M570, PFOSA and M556) a characteristic likely due to their work in Buildings 3 and 4N with fluorochemical alcohols, amides and acrylates. For example, chemical operators had a geometric mean levelof0.131 ppm for M570 compared to 0.033 ppm for cell operators, 0.042 for mill operators and 0.079 ppm for waste operators. POAA levels were above the geometric mean of 1.000 ppm for employees with current jobs of cell operators (1.428 ppm), chemical operators (1.887 ppm), maintenance workers (1.095 ppm) , mill operators (1.26 ppm) and waste operators (1.542 ppm). Employees with the job categories of engineer/lab and secretary
001284
EPLO03OMG Page 608f5 had the lowest serum fluorochemical levels. PHS, andto a lesser extent PFOS, were positively associated with years worked in the chemical plant. The remaining fluorochemical analytes were not routinely associated with years worked in the chemical plant by job categories. We did not observe an association between hand-to-mouth usage or hand cleanliness (frequency of washing hands) and serum fluorochemical levels. Like their male counterparts, female chemical operators appeared to have increased PFHS levels with years worked. However, unlike their male counterparts, there was no apparent modest linear association between PFOS and years worked among female chemical operators. Whether this is due to different work practices, exposure `pattems or pharmacokinetics once absorbed, remains to be determined. The sample size itself (n = 10 female chemical operators in random sample), is an important, limiting factor in the interpretation of these data The data also indicate significantly lower serum fluorochemical levels among, employees who have only worked in the film plant Gi.., defined as those employees in the random sample who have worked only in the film plant with no prior work on the D-1 `maker located in the film plant or previous work history in chemical. The D-1 maker uses FX-1801, a methyl FOSE amide). There were significantly lower serum fluorochemical levels among these employees who have only worked in the film plant when compared to those who are current chemical plant employees. Comparing the geometric means for each fluorochemical from the random sampleof chemical operators and those employees. who only have worked in the film plant, we observed the following ratios (in ppm): PFOS (1.481/0.110); PFHS (0.428/0.015); POAA (1.887/0.052); PFOSAA (0.011/0.002); M570 (0.229/0.022); and M556 (0.044/0.003). Except for PFOSAA, these ratios suggest a 10-fold or greater difference between chemical operators and film plant employees who
001285
EPLO030MS Page 7 of85 work several hundred yards away from Building 3. This only film plant employee group had a geometric mean value for PFOS that is approximately 3-4 times higher than the pooled geometric mean (0.029 ppm) from 64 samples obtained from 18 U.S. blood banks. Thus, we suspect that occupational exposure to PFOS does occur within the film plant although at much lower levels than among employees working at the chemical plant. Additionally employees who worked on the D-1 maker have serum PFOS levels approximately 3 times higher than those employees who have never worked on the D-1 `maker nor have worked in the chemical plant i.c., the only film plant employees). `We did not observe an association between hand-to-mouth usage or hand cleanliness (frequency of washing hands) and serum fluorochemical levels. Itis possible an association might have been masked because industrial hygiene had instituted an aggressive educational campaign several months prior to the collection of blood samples in this study; thus current practices may not be indicative of past practices. Because the half-life of PFOS is estimated to be 1000 days or more, such an association may not be discoverable with this study design. A limitation to this study design which must be considered in the interpretation of the data was our inability to more accurately quantify an employee's work history experience. Decatur work history records provide department numbers and job titles but they do not provide information regarding where someone worked (e.g., what building(s) orwith what specific fluorochemicals). Self-reported work history information obtained by questionnaire was highly correlated with Decatur work history record information; nevertheless, the specificity of where someone worked and with what chemicals was not known. Because many operations are in batch mode, the likelihood of determining specificity of historical workload fluorochemical exposure among chemical operators
001286
was not possible.
EPLO03OMS Page 8085
The present study's sera fluorochemical levels, observed by job categories and
building locations, strongly support the recommendations borne from recently conducted industrial hygiene assessments. These recommendations include specific engineering controls to reduce inhalation exposure, appropriate personal protective equipment to prevent overexposure and appropriate personal hygiene practices among employees to
remove skin concentrations. Finally, PFOS and POAA serum levels measured in this study are similar to those:
that have been previously reported via past biennial medical surveillance activites.
Results of previous epidemiologic studies have not associated the serum PFOSor POAA
levels observed in this study population with hepatic, lipid or hormone abnormalities.
001287
INTRODUCTION
EPLO0MGmS Page 9.0 85
In the past, employees at the 3M Decatur chemical plant have voluntarily participated in a fluorochemical medical surveillance program. The surveillance program
analyzed for total serum organic fluorine levels until the mid-1990's when serum
perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (POAA) determination,
quantifiable by high performance liquid chromatography mass spectrometry, became
incorporated in the biennial medical surveillance examinations. Analysis of the. surveillance data has not shown significant associations between the employees" clinical chemistry and hematology tests and either total serum organic fluorine levels (Roach, 1982; Schuman, 1982)or serum PFOS levels [Olsen et al, 1999]. However, the
Voluntary nature of the medical surveillance program may not lend itself to an appropriate characterization of the distribution of fluorochemical serum levels as itis not based on random sampling methods. Therefore, the purpose of this study was to collect
data from the necessary distribution by randomly sampling employees in the Decatur
chemical plant in order to determine the distribution of employee serum fluorochemical levels according to demographics, current and longest heldjobs, years worked and building locations. In addition, a random sample of the neighboring 3M Decatur film
plant employee population, located at the same site, was tested to determine
fluorochemical serum levels in order to characterize the differences between the two
plant populations.
The film plant employees have served as a comparison population in a prior
health study (Mandel and Johnson, 1995) due to their (assumed) nonoccupational
exposure to fluorochemicals. However, their actual serum fluorochemical levels had not
been discerned. Epidemiologic studies at the Decatur plan can be more fully appreciated
001288
EPLO0MDmS
if
the
distributionsof
employee
serum
fluorochemical
levels
at
both
the
Page 100f85 chemical and
film plants are better understood.
METHODS Description of Decatur Facility
`The 3M Decatur site is located in Decatur, Alabama which started production in the early 1960's. The site consists of two plants, Specialty Film "film plant" and Specialty Materials "chemical plant". Both plants are in the Specialty Materials Manufacturing Division (SMMD). The chemical plant is located several hundred yards directly east of the Film Plant. The main buildings located on the site are Buildings 1,2, 3,5,14,15,17,19, 31, 36, 38, 40, 42, 48, 49, 51, 57, 59 and 61 (see Appendix A). Buildings 14, 15 and 19 are considered film plant buildings. Buildings 1,2, 3, 31, 38, 40, 42,48,49, 51 and 61 are considered chemical plant buildings. Building is the boiler house that controls site utilities such as chilled water, plant steam, plant nitrogen and breathing air. Building 5 is located southwest of the chemical plant. Building 17 serves as the maintenance and stockroom building located just west of Building 5 servicing `mainly the chemical plant. Buildings 36 and 57 are site wastewater treatment buildings located east of the chemical plant.
`The major production buildings in Decatur film plant are Buildings 14, 15 and 19. Polyester and non-polyester films are produced in Building 14. Maintenance, locker rooms, and dining facilities are all located in areas of Building 14. Resin used in film production is manufactured in Buildings 15 and 19. The only process in the film plant using fluorochemicals is run on the D-1 film line (called the D-1 maker). The process
001289
EPLO03OMS Page 11 0f85 uses FX-1801 in the production of film used foar limited number of products. Currently, no other processes in the film plant use fluorochemicals in production. The three major products produced in the chemical plant are protective chemicals, performance chemicals, and fluoroelastomers. The three product groups are referred to as focus factories. Fluorochemicals identified in this study are used in all focus factory groups to some extent. Production for all focus factories takes place in Buildings 2, 3,4, 38,40,42, 49, 51 and 61. The chemical plant's main office areas, warchouse and quality control labs are located in Building 1. The chemical plant's dining facility and locker rooms are located in Building 31. Raw materials and intermediates for each product group may flow through many different production buildings before they are packaged for shipping. The flow of protective chemicals follow a path starting at Building 3 to Buildings 2 or 49 to Buildings 3,4,38 or 51. The protective chemicals group is the primary producer of perfluorooctane sulfonyl fluoride (POSF) and perfluorohexane sulfonyl fluoride (PHSF) based chemistry. Octyl mercaptan or hexyl mercaptan is reacted with chlorine and ammonium fluoride to produce octane sulfonyl fluoride (OSF) or hexane sulfonyl fluoride (HSF) in Building 3 and is referredto as the "cell feed". The cell feed is sent to Buildings 2 and 49 where it is reacted in electrochemical cell systems to produce POSF or PHSF. POSE is the major sulfonate based fluorochemical produced at Decatur. PHSF is produced mainlyfor fire suppression liquids. Most of the POSF produced is piped to Building 3 where amides, alcohols, acrylates and other fluorochemical polymers arc produced. These fluorochemical polymers are then used in all production buildings to produce intermediates and finished goods.
001290
EPLO0mOG Page 120185 The performance chemicals are mostly made up of inert liquids and fire suppression liquids. The inert liquids follow a path starting at Buildings 2 or 49 to Buildings 40 or 42. Inert liquids consist of mostly perfluoronated alkanes and do not contain sulfonate or carboxylic acid compounds. Fire suppression liquids are primarily based on sulfonate chemistries starting with POSF and PHSF. Fire suppression products are made in Building 3 and packaged in Buildin4g. Fluorochemicals are used in the productionoffluoroelastomer products. The first part of the fluoroelastomers is called latex, which is produced in Buildings 4, 38 and 51. `The latex is then coagulated, washed and milled in Building4s and 61. POSF based compounds are the primary fluorochemicals of interest used in the majority of fluoroelastomer products. POAA is also used in a limited numberoffluoroelastomer product runs. POAA is used in the production of latex that is eventually coagulated, washed, and milled in Buildings 4and 61. This POAA containing product is run infrequently, only several times per year. POAA is also a by-product within the electrolytic cells and is carried through up to product. It is believed to be a result o f increased oxidation within the cells. POAA was produced in Building 2 and subsequently worked up in Building 3 more than 20 years ago and had not been produced. in Decatur since the time of this study. POAA production is expected to resume in Buildings 2 and 49 in the near future.
001291
Sample Size Determination
EPLOO3DMS Page 13 0f85
Three critical factors were considered to decide the sample size for this study.
First, it was important that a sample be randomly chosen from the employee populations
of both the chemical and film plants. Second, the sample size was driven by the need to
provide confidence that the exposure in the film plant is small relative to that of the
chemical plant. Third, the sample size had to adequately characterize the exposure levels
within the chemical plant workplace. In addition, all employees in the chemical and film
plant had to be offered the opportunity to know their fluorochemical levels via blood
testing, although they may not be part of the random sample. The random sample size in
this study of more than 200 subjects was based on: 1) the lower 95% confidence bound
of the hypothesized mean difference between the serum fluorochemical levels of the
chemical plant; and 2) to allow for adequate characterization of serum fluorochemical
differences by job and building within the chemical plant (see study protocol for details).
There was an added degree of uncertainty in estimating sample size because
approximately 10 percent of the film plant employees may have had prior work
experience in the chemical plant. Also, an unknown number of film plant workers had
worked on the D-1 maker where a PFOS-based fluorochemical (FX 1801, a methyl FOSE
amide) has been used.
`The random sample was chosen by the following methods: a) all full-time current
chemical and film plant employees were identified via a current plant roster that listed
departments and supervisors; b) using a random number generator algorithm, a sample of
`employees was chosen which was proportionate to the number of employees who worked
in the various chemical departments, auto and chemical markets group, Decatur EHS&R,
Dyneon, and the film plant. We included in the random sample all identified Decatur
001292
EPL0030MS Page 140785 site employees who were assigned to the wastewater treatment plant (Buildings 36 and 57). Altogether, there were 232 employees randomly chosen to participate in the study (Table 1).A total of 186 (80%) participated and 46 (20%) refused. The film plant random sample had the lowest participation rate (71%). In addition to the 186 random sample participants, there were77 employees from the chemical (n = 61) and film (n = 16) plants who requested their serum be tested for fluorochemical levels. Hereafter, these individuals will be called the "volunteers."
Employee Study Participation Study participation required the following: 1) a signed consent form by the
employee; 2) a written response to a brief questionnaire (Appendix B) that inquired about current and past work history along with the frequency of hand washing and use of gum, chew (tobacco) and cigarette habits of the employee while at work; and 3) a venipuncture with the collection of two vials of blood (approximately 20 ce) for the determination of the seven fluorochemicals. The study protocol was approved by the 3M Institutional Review Board (IRB).
Each randomly chosen employee (film and chemical) received a letter of invitation to participate that was jointly signed by the plant manager (Mr. Jim King) and the 3M Medical Department director (Dr. Larry Zobel). There was plant-wide communication which described the purpose of this study and encouraged employee participation. All study participants, who were either randomly chosen or who volunteered, were informed of their own individual results by a letter sent to them from the 3M Medical Department in July, 1999. Aggregate results of the study were also communicated at that time to the employees.
001293
EPL0030M6 Page 15 of 85
Fluorochemical Analyses All blood was collected in the months of October and November, 1998 at the
Decatur plant by MedAccess (an occupational health clinic located in Decatur, Alabama) under the direction of Cathy Simpson, RN who centrifuged the bloodto obtain the serum and then shipped the samples to the 3M Medical Department (St. Paul, MN). Split samples were catalogued by Diane Madsen and Jean Burris and then senttoeither Northwest Bioanalytical (Dr. David Vollmer) for determination of perfluorooctane sulfonate (PFOS), perfluorooctane sulfonate amide (PFOSA), perfluorohexane sulfonate (PFHS), perfluorooctanoic acid (POAA) and N-ethyl perfluorooctanesulfonamido acetate (PFOSAA)orto 3M Environmental Laboratory (Dr. Kris Hansen) for determination of N-methyl perfluorooctanesulfonamido acetate (M570) and `perfluorooctanesulfonamido acetate (M556).
In both laboratories, sera samples were extracted using an ion-pairing extraction procedure. The extracts were quantitatively analyzed for PFOS, PFHS, POAA, PFOSAA, PFOSA, M570 and M556 using high-pressure liquid chromatography/electrospray tandem mass spectrometry (HPLC/ESMSMS) and evaluated versus an extracted curve, There were minor differences between the analytical methods used at Northwest Bioanalytical and 3M Environmental Laboratory. Most notably, Northwest Bioanalytical evaluated analyte levels versus a curve extracted from human sera. Endogenous levels of certain fluorochemicals were determined in the standard matrix and additional fluroochemical was spiked into the matrix. The total `amount of each specific fluorochemical (endogenous + spiked) was used to construct an extracted standard curve. For the analysis conducted at the 3M Environmental
001294
EPL00m0M6 Page 16 of 85 Laboratory, the difficulties presented by the endogenous levels of fluorochemical in samples of "blank" test matrix were circumvented by utilizing rabbit sera as a surrogate matrix. Previous research had shown that rabbit sera contains the lowest level of endogenous fluorochemicals when compared to sera from bovine, rat, monkey and human. `Asa quality control check, the 3M Environmental Laboratory screened PFOS levels in approximately 10% of the sera analyzed at Northwest Bioanalytical. While most of the results agreed to within 25%, 14 of the 40 samples checked showed lower (>% 25%) values when analyzed at 3M. It is expected that these discrepancies are due to differences in curve slope and intercepts arising from the analytical differences described above. Given that Northwest Bioanalytical satisfactorily completed a method validation for PFOS using human sera and given that most values were in close agreement with those obtained by the 3M Environmental Laboratory using a rabbit sera curve, data from both laboratories were considered accurate to within the parameters defined by their methods. Details of both laboratories' methods and final reports are reported elsewhere (Vollmer, 1999; Hansen, 1999].
Data Analysis Each employee's questionnaire data and computerized work history records were
reviewed to determine whether the employee was: a) a current chemical employee (regardless of any work experience in the film plant); b) a film plant employee with no history in chemical;or ) a film plant employee with prior history in chemical. Employees who were considered Decatur `site' employees (e.g., safety, industrial
001295
EPLO0mOS Page 170785 hygiene) and who stated they currently worked in one or more chemical buildings were considered to be chemical employees in the data analyses. Employees were asked to provide their current and longest-heldjob. A review of these job titles by an industrial hygienist (PWL), epidemiologists (GWO, JMB) and occupational health nurse (CAS) categorized the entries into eight job classifications for the chemical plant: cell operators, chemical operators, engineers/laboratory, maintenance, mill operators, secretaries, supervisors/management and waste operators. Film plant current jobs (and longest held jobs) were categorized into fourjob classifications: engineers/laboratory, film processors, maintenance and administrative. These classifications were done prior to any data analyses. The individual's usual job assignment when he/she worked overtime was not analyzed as most persons reported this was the same as their current (or longest held)job. Employees were asked on the study questionnaire to indicate the number of years they have worked in chemical. This information correlated with a review of records from the epidemiology unit's Decatur work history database for those employees with 7000 level department codes; thus these self-reported data were used to assess years worked in chemical. On the other hand, years worked in film were calculated from the epidemiology unit's Decatur work history database because this information was not requested on the study questionnaire. Chemical employees who had worked previously in the film plant were identified and classified as to their time of service in the film plant (< 1980, 1980-1989 and 1990-1998). Age was calculated from the employee's date of birth from the epidemiology
unit's Decatur work history database. Body mass index (kg/m?) was calculated based on
the information provided by the employee on the questionnaire. An index of hand-tomouth contact was calculated based on whether the person smoked cigarettes, chewed
001296
EPLO03OMG Page 180f 85 tobacco or chewed gum. An index of hand washing was based on whether or not the employee said they always washed their hands before cating while at work. Through the use of SAS and JMP and employing standard statistical techniques (student's t test, chi square, ANOVA, single and multivariable regression using linear and nonlinear analyses), data analyses concentrated on the following issues: 1) compare: responders and nonresponders in the random sample bytheirdemographic characteristics (e.g, age, gender, years worked); 2) compare mean serum fluorochemical levels within the chemical plant by 2) employee demographics, b) self-reported work history data based from the study questionnaire including current job, longest-heldjob, years worked in chemical and in which chemical buildings; ) work history information supplemented with data from the 3M epidemiology unit's computerized comprehensive work history record database for the Decatur site, and d) personal habits (also identified on the study questionnaire) that were hypothesized to increase the likelihood of oral ingestion of fluorochemicals (e.g., hand washing, cigarette smoking, chewing tobacco and chewing gum); and 3) likewise, compare mean serum fluorochemical levels within the film plant by similar factors. To prevent misclassification of potential workplace exposure experience to fluorochemicals within the film plant, we analyzed samples from film plant employees according to those who have and have never worked in the chemical plant as well as those who were identified as having worked on the D-1 maker located in the film plant. Film plant employees who had never worked on the D-1 maker nor ever worked in chemical are hereafter referred to as "only film plant employees." Because the serum distributions for PFOS, PHS, POAA, PFOSAA, MS70, PFOSA and M556 appeared log normallydistributed (a skewed distribution), natural log transformations of the fluorochemicals were performed to calculate geometric means 001297
am
ge100185
(TM "9) and statistical calculations regarding central tendency were primarily based on the geometric mean. The random variable X is said to have a log normal distribution
if log X is normally distributed, that is, if X is of the form " where Y is normal (i.c., the
normal bell shaped curve). The pertinent properties oaf log normal distribution can then be derived from properties of the normal distribution. The mean and variance are of the `normally distributed Y, that is, of log X. The log normal distribution finds applications in a wide variety of fields including exposure assessments in nature (whether of humans, `mammals, etc).
Provided in Appendices C and D are the histograms of the seven fluorochemicals as measured for employees in the chemical and film plants, respectively, using statistics derived from the normal distribution along with the natural log transformation of the distribution. The Shapiro-Wilk W test suggests the necessity of the log transformation. Measuresofcentral tendency routinely presented throughout this report will include the arithmetic mean and range, and the geometric mean and associated 95% confidence interval. Comparisons of geometric means were conducted using the student'st test with statistical significance considered atp < 05.
All fluorochemical measurements were reported in parts per million (ppm) to the third decimal point. For statistical purposes, serum fluorochemical values that were less than the lower limit of quantitation (LLOQ) were assumed the midpoint between zero and the LLOQ. Of the total number (n = 186) of employees considered to be currently working in chemical who participated in the study (126 from the random sample and 60 volunteers), the following numbers (in parentheses with percentage) had reported LLOQ's by the measured fluorochemical: PFOS (1, 0.5%); PHS (1, 0.5%); POAA (0, 0%); PFOSAA (49, 26%); MST0 (0, 0%); PFOSA (36, 19%); and M556 (8, 4%).Ofthe
001298
EPLO0MOG Page 200f 85 total number (n = 76)of employees considered to be current film plant (60 in the random sample and 16 volunteers), the following numbers (in parentheses) had reported LLOQ's by the measured fluorochemical: PFOS (1, 1%); PFHS (2, 2%): POAA (0, 0%); PFOSAA (29, 38%); M570 (0, 0%); PFOSA (65, 86%) and M556 (32, 42%). We chose not to analyze PFOSA among the film plant employees because 85% of them had serum PFOSA measured at less than LLOQ which resulted in minimum variability for statistical considerations. The LLOQ for PFOSA ranged, between analyses, from 0.001 10 0.010 ppm. Analyses focused on the random sample but aggregate data analyses were also `conducted for all participants (random sample and volunteers) stratified by the two plants.
RESULTS
Comparison of random sample responders and nonresponders
Responders (n = 186) and nonresponders (n = 46) from the random sample were.
compared by age, gender and years worked and found to be alike. Among the chemical
random sample, the average age was 42 years compared 0 43 for nonresponders.
Responders and nonresponders have worked, on average, 16 years. There wasa simila5r
0 1 ratio of male to female employees for the responders and nonresponders among
chemical employees.
Film plant employees who responded were, on average, 46 years of age, had
worked 19 years and the ratio of male to female was 5 to 1. Nonresponders were 48
years of age, had worked 25 years and had a 7 to 1 male to female ratio. Thus,
nonresponders in the film plant random sample were slightly older, worked longer and a
greater percentage were males.
001299
EPL00m0MG Page 21 of 85
Overall Findings
`The arithmetic mean (and range) of the random sample as well as the geometric:
mean and ( 95% confidence interval) of chemical employees (n = 126) for the seven
fluorochemicals are presented below (in ppm):
Chemical Plant
Arithmetic Mean (and Range)
Geometric Mean (and 95% CI)
PFOS PPOFAHSA PFOSAA M570 PFOSA M556
1505 (0.091-10.600) PFOS 0345 (0.005 -1.880) PFHS 1536 (0.021 -6.760) POAA 0023 (0.001-0269) PFOSAA 0.151 (0.008 - 0.992) M570 0062 (00005-0612) ~ PFOSA 0052 (0.001 - 0.406 M56
0941 (0.787 - 1.126)
0.180 (0.145 -0.223)
0899 (0.722- 1.122)
0.008 (0.006-0011)
0081 (0.067 -0.098)
0013 0022
((00..001089--00.001289))
`The arithmetic mean (and range) of the random sample as well as the geometric
mean and ( 95% confidence interval)of the film plant employees (n = 60) for the six
fluorochemicals are presented below:
Film Plan
Arithmetic Mean (and Range)
Geometric Mean (and 95% CI)
PFOS 0.172 (0.015-0.946) PFOS 0.136 (0.114-0.161) PFHS 0023 (0001-0210) PFHS 0014 (0.011-0.018) POAA 0.071 (0.006 -0.298) POAA 0.049 (0.039 -0.062) PFOSAA 0.004 (0.001 -0.038) PFOSAA 0.003 (0.002 -0.003) M570 0020 (0.001 -0454) M570 0.008 (0.006-0.011) PFOSA 85% of samples <LLOQ* PFOSA 85% of samples < LLOQ* M556 0008 (0.0001 -0307) _MsS6 0.003 (0.002 -0.004) LLOQ = lower limit of quantitation for PFOSA ranged from 0.001 - 0.010 ppm.
Because the above values may be highly variable by employees' demographics, work history and personal habits, subsequent analyses will focus on cach plant separately
601300
EPLO03OMG
Tables
1
- 21
provide the results from the chemical plant.
Tables
22
-
20
Page 220f provide the
85
results from the film plant
Chemical Plant
Provided in tables 2 and 3 are the demographic characteristics by the number of chemical employees (and percent) from the random sample (n = 126), volunteers (n = 60) and all chemical participants (both random sample and volunteer, n = 186). The distribution ofdemographic characteristics between the random sample and volunteers were comparable although the random sample had a higher percentageof chemical operators (37%) than did the volunteers (28%).
`The mean, median, range and geometric mean of the random sample, volunteers and all chemical participants, is provided in Tabl4e for the seven fluorochemicals. The range of PFOS was from 0.091 - 10.600 ppm. Although the geometric means were consistently higher in the random sample than volunteers, only with PFOSA did the `geometric mean differ significantly between the random sample (0.013 ppm) and the volunteers (0.006 ppm). It should also be noted that among the random sample, five employees had serum PFOS levels > $ ppm compared to none among the volunteers. Because the demographic characteristics and geometric means did not substantially differ between the random sample and volunteers, subsequent tables wil report on cither the random sample and/or all chemical participants. The volunteers will not be presented separately.
Presented in Table S are the demographic characteristics of the random sample of chemical employees by current job category (cell operator, chemical operator, engineer/lab, maintenance, mill operator, secretary, supervisor/management and waste:
001301
EPL00m0M6 Page 23 of 85 operator). Supervisors/imanagement (mgmt) and waste operators were the oldest with mill operators the youngest. Mill operators have worked considerably less years, on average, than all otherjob categories. This is to be expected since mill operator is an entry level position for new employees. The number (and proportioonf) female: `employees were similar between the chemical operators and the engineer/lab group. Provided in table 6 is the mean, median and geometric mean for each of the seven fluorochemical levels by gender, hand-to-mouth contact, wash hands and whether the individual had worked only in the chemical plant. Geometric mean levels for males were significantly higher than females for PFOS, PFHS, POAA and MS70. We did not observe, as hypothesized, that hand-to-mouth contact (via use of cigarettes, chewing tobaccoor chewing gum) and less frequent hand washing resulted in higher fluorochemical serum levels. Also, having worked only in chemical did not result in higher serum fluorochemical levels. We did observe that the further back in time that chemical employees worked in the film plant, the larger their geometric mean values were, as measured in this study. For example, the geometric mean values for chemical employees who last worked in the film plant prior to 1980, between 1980-1989, 19901998 and never worked in the film plant were 1.656 ppm, 1.551 ppm, 0.786 ppm and 0.700 ppm, respectively. Of course, this is also a reflection of the number of years worked in the chemical plant (to be presented later in this section). That s, the employees who worked in the film plant prior to 1980 had subsequently the longest continuous work history in chemical since 1980. Fluorochemical levels by current job category are presented in Table 7. Several observations were noteworthy. First, the distributionofhigh-to-low geometric mean values varies by current job categories. Cell operators have the highest geometric mean
001302
EPL00m0M6
level of PFOS.
The
next
group
are
the
chemical
operators,
maintenance
and
Page waste
24
of
85
operators. Supervisor/memt is next, followed by the group consisting of mill operators,
engincerflab and secretary. For PFHS, cell operators have the highest geometric mean
level. The next highest group appears to be chemical operators, waste operators,
supervisor/mgmt and maintenance. For POAA, chemical operators appear to have the
highest levels followed by the group consistingofcell operators, maintenance, mill
operators and waste operators. Chemical operators and maintenance have significantly
higher levels of M570 than all other currentjob categories. Chemical operators,
maintenance and mill operators have the highest geometric mean values for PEOSAA.
PFOSA and M556 values were significantly higher for chemical operators than for most
otherjob categories.
Fluorochemical ratios (PFOS/PFHS, PFOS/POAA, PFOS/(PFOSSA+MST0+PFOSA+MSS6), MST0/MSS6, PROSAA/MSS6 and
PFOSA/MSS6) are presented by current job category in Table 8. The cell operators had the lowest PFOS/PFHS ratio and the mill operators had the lowest PFOS/POAA ratio. `The largest PFOS/metabolite ratio was for the cell operators.
Tables 9-11 are identical to Tables 7-9, respectively, except that the employees" longestjob is analyzed instead of the current job category. Cell operators are not included as there was only one cell operator who stated this was his longest job held. The highest PFOS, PFHS and POAA levels were observed among chemical operators. Maintenance and chemical operators had higher M570 and PFOSAA levels. Overall, results did not vary substantially between current job and longest heldjob.
Table 12 is restricted to only those chemical employees who stated on the questionnaire that they currently work in just one location (building). Because building
0601303
EPLO0MOmS Tocation is synonymous with job category for cell operators, Buildings 2/49 hadPatghee25 0f 85 highest PFOS and PFHS levels. Building 3 and Building 4N represented the areas with the highest POAA levels although only one building, Building 1, had substantially lower POAA levels when compared to the other locations. M570, PFOSAA and MSS6 levels were highest in Buildin3g. Buildings 3 and 4MX (MX = mixer/extruder area) appeared to have comparable levels of PFOSA. Among the 5 employees who only worked in Building 4N, there was a wide range of PFOSA levels.
Because employees may currently work in only one building but have had a past history of working in several buildings, we further restricted the analyses to only those employees who said they have only worked in one building throughout their employment. This restricted the number of subjects to just 21 individuals (17% of the random sample) with representation in these Buildings: 1,3 and 4MX. Table 13 shows that PFOS levels were more than 5 times higher in the sera of Building 3 workers than in the sera of Building 1 or Building 4MX workers. PFHS levels were almost 10 fold higher. POAA levels were twice as high in sera of Building 3 workers compared to Building 4MX workers and more than 15 times higher than Building 1 workers. MS70 and M5S6 levels were times higher in Building 3 workers than Buildings 1 or 4MX. PFOSAA and PFOSA levels were comparable between Building 3 and Building 4MX workers and lowest in Building 1.
Tables 14 through 21 provide similar data analyses as the previous tables but now represent the 187 total (random sample and volunteers) chemical participants. There were no substantial differences between the analyses of the random sample and of all chemical participants. For example, among all chemical participants, mill operators were the youngest employees (Tables 14, 17); most female employees were either in the
001304
EPLO03OMG
current
and
longest
job
category
of
chemical
operators
or
engineer/lab
Page (excluding
26
of
85
secretary) (Tables 15, 18); cell operators had the highest PFOS and PFHS serum levels
and engineer/lab, secretary and mill operators had the lowest PFOS and PFHS serum
levels (Tables 16, 19); and chemical operators and maintenance workers had the highest
levels of M570 and tended to also have the highest serum levels of PFOSAA, PFOSA
and M56. Fluorochemical levels stratified by where employees only currently work.
(Table 20), or have only ever worked (Table 21), were also comparable with the results.
from the random sample. All chemical participants who have only worked in Building 1
had lower fluorochemical levels than Building 3 workers for all seven fluorochemicals
(Table 21). Building | workers had lower PFOS, POAA, PFOSAA and PFOSA levels
than Building 4MX employees. PFHS, M556 and MS70 levels were similar in Building
1 workers and Building 4MX workers.
A series of multivariable analyses (data not shown) examining each
fluorochemical by several independent variables (c.g. age, body mass index, gender,
current job, longest-held job, whether employed only in the chemical plant, years worked
in the chemical plant) suggested there may be up to three important explanatory
variables. These were current (or longest) job, years worked within the chemical plant
and gender.
To better visualize the influence of years worked within chemical on serum
fluorochemical levels, we stratified the analyses by current job categories. In other words, the dependent variable (i.c., each specific fluorochemical) was regressed on years
worked in chemical for each separate job category. These linear regression analyses
employed the untransformed as well as transformed (natural log) dependent variable. Analyses were conducted for the random sample (n = 126) as well as for all chemical
001305
EPLO03OmS
participants
(n
=
187).
Presented
in
Appendix
E
are
the
analyses
for
cach
Page 27 0f 85 fluorochemical
for the random sample (n = 126) and then separately for chemical operators, engineer/lab,
maintenance, mill operators and supervisors/mgmt. Cell operators and secretaries are not
presented becauseof their insufficient population.
From the scatterplots and models presented in Appendix E, the following were. observed. (Note: in Appendices fluorochemicals are presented in the following order PFOS, PFHS, POAA, PFOSAA, M570, PFOSA and M56. For the scatterplots, upper and lower 95% confidence curves are provided of the fitted line. First, for the entire: random sample, only the PFHS model fit the data well with 22 percent of the variation of PFHS explained by an increase in years worked in chemical. PFOS levels increased modestly with years worked in chemical although the variance explained remained small
(*=.10). Although intercepts may have been significant for other fluorochemical
models for the entire random sample, the variance explained was consistently quite small (i. less than 3 percent); thus such models have minimum prediction. Among chemical operators the most significant observation was the findingof a linear increase of PFHS levels with increasing years worked in chemical. Thirty-four percent of the variation in PFHS was explained. There were weaker positive linear associations between POAA or PFOS and years worked in chemical. On the other hand, there appeared to be a suggestion that the highest levels of the fluorochemical analytes (PFOSAA, M570, PFOSA and M556) were most often observed among chemical operators with just one or two years of experience. Among the engineerflab group, there was a weak association between scrum PFOS levels and years worked in chemical. The strongest association observed among maintenance workers was the linear increase of PFHS levels with years worked in chemical. Like the chemical operators,a significant amount of variation was
001306
EPLO30mG explained (26 percent) although the data were sparse. Among the supervisor/Pmaggmet28 of 85 group, PFOS, PFHS and POAA increased with years worked in chemical. Approximately 15 percent of the variation was explained in each model. Model fit was poor for the mill operators because all but two had worked for 5 years or less; thus only scatterplots are presented (not regression models).
The natural log transformations are presented in AppendixF for all chemical `employees (n = 126) in the random sample as well as for the two current job categories with the most numbers (chemical operators and engineer/lab). For the entire random
sample, a weak association (r" = 08) is observed for PFOS and years worked in chemical
and a stronger association (= .23) for PFHS. For chemical operators the strongest
association (= 34) is with PFHS and years worked in chemical. Although the latter
association was not observed among the engineer/lab category with the nontransformed variable (see Appendix E), the natural log transformation of PFHS was significantly
associated (r=* .19) with years worked in chemical (see Appendix F).
Presented in Appendix G are similar scatterplots and regression models for all chemical participants by currentjob category. There remained a positive association between PFHS or PFOS serum levels and years worked in chemical, with the stronger of these two associations for PHS. Because of more subjects, scatterplots are also now shown for cell operators. These plots suggest, again, an increase in PFOS, PFHS and now also POAA levels among current cell operators with years worked in chemical, Among chemical operators the strongest association remained with PFHS, with weaker linear associations observed for PFOS and POAA with years worked in chemical. Among the engincer/lab group, there remained apositive linear association between either PHSorPFOS with years worked in chemical. There were positive linear
001307
EPL00a0mS
associations
for
PFOS,
PFHS
and
POAA
with
years
worked
in
chemical
Page 29.0785 among both the
maintenance and supervisor/memt groups. Too few mill operators with 5 or more work
years in chemical were sampled to conduct a meaningful analysis. The scatterplot data
do show a wide range of serum POAA levels among mill operators with just one year of
work experience in chemical.
`The scatterplots in Appendix H represent the log transformations for all chemical participants and the two most numerous job categories: chemical operators and engineer/lab. Again, the scatterplots suggest a consistently strong positive association between serum PFHS levels and years worked in chemical and a lesser association with PFOS and years worked in chemical.
Presented earlier in Table 6 was the observation that serum fluorochemical levels were lower among female workers. Whether this was due to a smaller proportion of female workers in job categories where exposure would be the highest, younger female workers and/or female employees with less work experience in chemical remained to be resolved. To address this issue we focused on those two job categories that had the most female subjects within the random sample as well as all chemical participants: chemical `operators and the engineer/lab group. Presented in Tables 22 and 23, by gender, are the demographic characteristics and serum fluorochemical levels for the random sample of chemical operators and the engineer/lab group. Female employees had significantly
lower geometric mean serum levels of POS, PFHS and POAA. Multivariable analyses of chemical operators ofeach fluorochemical level regressed on gender, years worked in chemical and with and without age are presented in Appendix I for the random sample. For purposes of brevity, only the transformed (natural log) dependent models are presented. Gender appeared to be the best predictor of PFOS level (ic., lower levels
001308
EPL00m0G
among
female
chemical
operators)
with
years
worked
in
chemical
not
Page significantly
300f
85
associated with PFOS. Gender was also significantly associated with POAA levels
(lower POAA levels among female workers) adjusting for years worked in chemical and
age. Both gender and years worked in chemical appeared to be important predictors of
PFHS levels among chemical operators. Among the random sampleof engincer/lab
`workers, gender was the most important predictor of PFOS, PHS, POAA and PFOSAA
levels after adjusting for years worked in chemical and age (Appendix J). Data for
chemical operators and the engineer/lab group from the all chemical participants showed
comparable results (Appendices K and L).
To further clarify this issue, regression analyses were stratified by gender as well
as byjob category. With male chemical operators as well as with the male engincer/lab
`group, there was a consistent association of increasing levels of PFOS and PFHS (and
POAA for chemical operators only) with increasing years worked, at least for the first
several years of work. Scatterplots are found in Appendix M. More questionable is
whether such an association remains linear or is polynomial (quadratic) over time.
Among female chemical operators the only association observed was for PHS and years
worked. Scaterplots are found in Appendix N. Neither PFOSor POAA levels
appeared to increase with years worked in chemical among female chemical operators.
`The data for the female engineer/lab group are difficult o interpret since 6 of the 9
individuals had less than years of work in chemical. Use of an interaction term (gender
x years worked in chemical) in multivariable models was not an important predictor of
fluorochemical levels
001309
Film Plant
EPLO03DMG Page 31 0f 85
Altogether there were 60 current employees who responded to the film plant
random sampling. A total of 36 employees had worked only in the film plant (i.c., `only
in the film plant' refers to film plant workers with no known experience on the D-1 maker or have had no previous work experience in the chemical plant), 6 film plant employees were known to have worked on the D-1 maker and 18 employees had worked, at some
time previously, in the chemical plant but were not on the D-1 maker (Table 24). For all
film participants (n = 76, random sample and volunteers), a totalof 49 had worked only
in the film plant, 7 were known to have worked on the D-1 maker and 20 had worked, at
some time previously, in the chemical plant.
Among the 60 employees of the random sample, there were no substantial
demographic differences (Table 25) between the only film, the D-1 maker and prior
chemical history groups. However, there were significant differences in serum
fluorochemical levels among these three groupsoffilm plant workers. Those employees
who have only worked in the film plant (but not on D-1 makeror previous chemical plant history) had significantly lower mean PFOS levels (Table 26). The geometric mean of PFOS for only film plant workers was 0.110 ppm (95% CI 0.094-0.129) compared to
0.289 ppm (95% C1 0.159-0.527) for employees known to have worked on the D-1
maker and the geometric mean was 0.178 ppm (0.137-0.233) for film plant employees
with prior history in chemical. A similar significant association, albeit at a lower ppm
level, was observed for POAA. The only film plant employees had significantly lower 'PFHS levels when compared to film plant workers with a previous history in chemical; their PFHS levels were nonsignificantly lower than those who worked on the D-1 maker. `There were no significant differences in sera levels of the remaining fluorochemical
001310
EPLO030MG levels among the three groups of film employees. Interestingly. all film plant wPoargkee3r2s0f 85 with a previous history of having worked in the chemical plant had MSS6 values that were below the LLOQ. We do note that the D-I maker group had comparable levels of MS70 to the only film or film with previous history in chemical groups (see Table 26). `We had hypothesized the D-1 maker group may have had higher levels because of their use of methyl FOSE amide which may metabolize to the analyte MS70. Provided in Table 27 are ratios of fluorochemicals. The median ratios were comparablefor these groups of film plant workers in the random sample.
Restricting the analyses to film employees with no D-1 maker or chemical plant experience, there were no significant differences by age for the four current job categories analyzed: engineer/lab, film processor, maintenance and administrative (Table 28). Although their serum levels were substantially below their counterparts in chemical, maintenance employees working in the film plant had significantly higher PFOS, POAA and MS70 levels than the engineer/lab group within the film plant (Table 29). Engineer/lab, film processors and administrative workers had comparable fluorochemical serum levels. Median fluorochemical ratios were comparable among. these job categories of the random sample of film plant workers (Table 30). Similar findings were observed when all film plant participants were analyzed for demographics and serum fluorochemical levels (Tables 31-33).
Located in Appendix O are scatterplots of the only film group for each fluorochemical regressed on years worked in film. Because maintenance workers had higher levels, on average, than the other three job groups among the only film employees, they are numbered on the graphs. From these analyses there is some suggestion that PFOS and POAA levels may increase within the first few years of working at the Decatur
001311
EPL0030mS film plant and then subsequently plateau. However, unlike chemical workers, Ptahgeere33i0s7n8o5 linear (or quadratic) association observed for PHS. The remaining fluorochemicals showed no association with years worked in film.
DISCUSSION
The goal of this research effort was to quantify, based on random sampling, the relationship of employee serum levels of seven fluorochemicals at the Decatur chemical and film plants. In that regard, the data collected and analyzed present a convincing picture of significantly lower serum fluorochemical levels among employees who have only worked in the film plant when compared to those who are current chemical plant employees. For example, comparing the geometric means for each fluorochemical between chemical operators and those employees who only have worked in film, we observed the following ratios: PFOS (1.481/0.110); PFHS (0.428/0.015); POAA (1.887/0.052); PFOSAA (0.011/0.002); M570 (0.229/0.022); and M556 (0.044/0.003). `These ratios, except for PFOSAA, suggest a 10-fold or greater difference between chemical operators and film plant employees who work several hundred yards away from Buildin3g. These only film plant workers appeatro have a geometric mean value for PFOS that is approximately 3-4 times higher than the pooled geometric mean (0.029 ppm) from 64 samples obtained from 18 U.S. blood banks; thus, we suspect that `occupational exposure to PFOS occurs within the film plant although at much lower levels than among employees working at the chemical plant.
Among filmplant employees we also established the fact that workers on the D-1 maker have serum PFOS levels approximately 3 times higher than those who have never
001312
EPLO0MGmG Page 34 of 85 worked on the D-1 maker nor have worked in the chemical plant. Unexplained is the. POAA levels of these workers on the D-1 maker as well as the levels observed among other film plant employees. We confirmed several hypotheses for the chemical plant employees. First, cell `operators have the highest serum levels of PFOS and PHS although their serum levels for other fluorochemical analytes were similar to other chemical employees who were involved with the chemical reactors (i.c., chemical operators and maintenance workers). Second, chemical operators and maintenance workers had comparable serum fluorochemical levels. Besides their higher levels of PFOS and PFHS, they both had significantly higher levels of M570 (the methyl FOSE alcohol metabolite) and to a lesser degree to POSAA which is the ethyl FOSE alcohol metabolite (as well as an FC product itself, FC-129). Chemical operators, but not maintenance workers, had higher levels of PFOSA. Both chemical operators and maintenance workers had moderately higher levels of M556 than the other job categories. These data suggest that, beyond general plantbased environmental exposure to POSF and PHSF (which we assume is primarily through inhalation and conversion to PFOS and PHS, respectively), the chemical operators and maintenance workers have higher serum levels as a result of their occupational exposure to the fluorochemical products. These occupational exposures `may be from the FC alcohols, FC amides, and FC acrylates. Because these fluorochemicals have much lower vapor pressure than POSF and PHSF, these data may indicate that the exposure to these chemical products within the chemical plant is relatively limited to within Building 3 and Building 4N. Third, waste operators were comparable to chemical operators for serum levels of POS and PFHS bu, like the cell operators, did not have higher levels of the fluorochemical analytes. Fourth, mill
0601313
EPL00a0m6
operators
were
generally
much
younger
employees
and
their
highest
Page 35.0185 fluorochemical
serum level was to POAA. Yet, the mill operators' POAA levels were lower than those of cell operators, chemical operators and maintenance workers. This suggests there is plant-based exposure of POAA well beyond the Buildin4g area which may be due to the fact that POAA is a by-product of the electrolytic cell production. Finally, the data support the hypothesis that those individuals (.g., engineers and secretaries) who are. much less likely to have routine occupational exposure within the chemical plant, do, indeed have lower serum fluorochemical levels. Employees who have only worked in Building 1 which is immediately across the walkway from Building 3, have serum fluorochemical levels that range between 7 (PFOS, PFHS) and 15 times (PFOSAA) lower than employees who have only worked in Building 3.
Our analyses of fluorochemical levels in serum from randomly selected employees strengthen the recommendations that were recently made in a Decatur industrial hygiene assessment analysis [Logan, 1998]. There is a strong correlation between the higher employee serum levels in the present study and air, surface and personal monitoring measurements which occurred during the industrial hygiene assessment. In the industrial hygiene assessment, Building 3 had the highest average airbomne total fluorochemical levels with each value derived from the total mass of detected target analytes in each sample (POSF, PHSF, FC amides, FC alcohols, FC acrylates) (see below):
BldgNo. 1 3 4 Outside air *mg/m
Results of Fluorochemical Tube Air Samples
No. Samples Average Low"
19
00145 0.000
66
1.6884 0.0070
10
0.1269 0.0047
3
0.0861 0.580
High 0.0601 38.0583 05216 0.1247
0601314
EPLO03OMG
Surface
wipe
sampling
was
also
conducted
throughout
the
chemical
plant
Page 36.0f (Buildings 1,
85 2,
3.4,17,38,49, 51 and 57). Sample results indicated that fluorochemicals were found in
nearly all samples with large variations in concentration. Building 3 had the highest
surface fluorochemical contamination with the average surface concentration greater than
100 ug/100cm'. Also, methyl FOSE alcohol was the largest contributor of
fluorochemicals found throughout surface wipes in Building 3. Hand-wipe samplings
indicated that employees who had washed their hands had very low levels of
fluorochemicals detected. Methyl FOSE alcohol and POAA were the compounds found
`most often on employees' hands. Thus, the present study's sera fluorochemical levels,
observed byjob categories and building locations, strongly support the recommendations
`bome from industrial hygiene assessments. These recommendations include specific
engineering controls to reduce inhalation exposure, appropriate personal protective
equipment to prevent overexposure and appropriate personal hygiene practices among.
employees to remove skin concentrations.
For the first time we have shown a relationship between serum PFHS levels and
the number of years worked in chemical. This finding was observed across various
currentjob categories within chemical which suggests PHSF, duc to its high vapor
pressure, is likely present throughout the chemical plant premises. The
pharmacokinetics of PFHS are unknown, although due to the shorter chain length, we
suspect the biological half-life may be less than PFOS,
We observed only a modest association between years worked in the chemical
plant and serum PFOS, and to a lesser extent POAA, levels. These associations appear to
be more evident among employees within their first five years as demonstrated by
significant quadratic associations found with both male chemical operators and
001315
engineers/laboratory personnel
EPL00m0MG Page 37 of 85
Like their male counterparts, female chemical operators appear to have increased
PFHS levels with years worked. However, unlike their male counterparts, there was no
apparent linear association between PFOS and years worked. Whether this is due to
different work practices, exposure patterns or pharmacokinetics once absorbed, remains
0 be determined. Gender-related differences in the toxicokinetics of POAA have been
reported for rats although the mechanismof excretion may be species dependent since
these gender differences were not observed in mice, rabbits or dogs [Griffith and Long,
1980; Hanhijarvi and Ylinen, 1988]. The half-life of POAA was estimated to be 7 times
higher (7 days) in male rats than female rats.
Alimitation to this study design which must be considered in the interpretation of
the data was our inability to more accurately quantify an employee's work history
experience. Decatur work history records provide department numbers and job titles but
they do not provide information regarding where someone worked (e.g., what building(s)
or with what specific fluorochemicals). Self-reported work history information obtained
by questionnaire was highly correlated with Decatur work history record information;
nevertheless, the specificity of where someone worked and with what chemicals was not
known. Because many operations are in batch mode, the likelihood of determining
specificity of workload fluorochemical exposure among chemical operators is not
possible. Furthermore, such records do not exist back in time. Nevertheless, with use of
the employees current (or longest) job along with additional surrogate variable exposures.
(years worked in chemical, building number) we were able to compare and contrast
fluorochemical levels. The least predictive of these three variables (job type, building
and years worked) was years worked with the exception of PFHS where a strong linear
001316
association existed across job categories for PFHS with years worked.
EPLO03OMG Page 38 of85
We did not observe an association between hand-to-mouth usage or hand
cleanliness (frequency of washing hands) and serum fluorochemical levels. It is possible an association might have been masked because industrial hygiene had instituted an aggressive educational campaign several months prior to the collection of blood samples in this study; thus, current practices may not be indicative of past practices. Because the. half-life of PFOS is estimated to be 1000 days or more, such an association may not be discoverable with this study design.
`The serum levels observed in this study for PFOS and POAA are not different
than those that have been previously reported for this study and other 3M occupational populations [Olsen et al., 19983, 1998b, 1999]. Olsen et al. [1999] have not associated
hepatic or lipid abnormalities with PFOS levels in the Decatur and Antwerp plant
populations that underwent voluntary medical surveillance in 1995 and 1997. Hepatic
lipid or hormone levels have not been associated with serum POAA levels among 3M
Cottage Grove male workers who have experienced higher serum fluorochemical levels
than those determined in the present study for these Decatur employees [Gilliland and
Mandel 1996; Olsen et al. 19983; 1998b].
In summary, the objective of this proposed research study was to characterize , via random sampling, the distribution of employee serum levels of PFOS, PHS, POAA,
PFOSAA, M570, PFOSA and M556 at the 3M Decatur chemical and film plants. The
data obtained from this exposure assessment investigation are important for several
reasons. First, these data allow for a better understanding of the exposure distribution of serum fluorochemical levels in both the chemical and film plant employee populations.
Second, these data may serve as future reference regarding human exposure assessment
601317
EPL00a0m6 for the film as well as the chemical plant in the area of health studies and exposPuargee 39of 85 reduction. Third, the data may be used for the construction of an exposure matrix for the anticipated update of the retrospective cohort mortality study of the Decatur employee population. Finally, this study will allow for the opportunity for employees to know their own serum levels for these seven fluorochemicals and encourage further practices leading toa reduction in their serum fluorochemical levels by the variety of exposure-reduction `methods recommended in the Decatur industrial hygiene exposure assessment report (Logan, 1998].
001318
EPLO03DMS Page 400185
REFERENCES
Griffith F, Long J. Animal toxicity studies with Hyg Assoc 1980;41:5760583.
ammonium perfluorooctanoate.
Am Ind
Hanhijarvi H, Ylinen M. perfluorooctanoic acid in
A proposed species difference in the renal excretion of the beagle dog and rat. In: Beynen A, Solleveld H, eds.
New
Developments in Biosciences: their Implications for Laboratory Animal Sciences.
Dordrecht: Martinus Nijhoff. 1988:409-412.
EHamnpsleonyeKe.s aLtab3oMraDteocraytuRre.porStt.: PAanuall:y3sMisEonfviFrCosnmiennStearluLmabSoarmaptolreys.CoJlunlee,ct1e9d9F9.rom
Logan PW. 3M Decatur Fluorochemical Industrial (Unpublished report.) September 15, 1998.
Hygiene
Exposure
Assessment.
Gilliland FD, Mandel JS. Serum perfluorooctanoic acid and hepatic enzymes,
lipoproteins 568.
and cholesterol:
a study of occupationally exposed men.
AJIM
1996;26:560-
OeplisdeenmGioWl,ogiGiclliinlvaensdtiFgDat,ioBnurolferwepMroMd,uctBiuvrreihsoJrMm,onMeasndinelmeJSn,wMiatnhdoeclcuJpHa.tiAonnal exposure 0 perfluorooctanoic acid. J Occup Env Med 19982;40:614-622.
OpllsaesnmaGcWh,oleBcuryrsitsokJiMn,inBaunrdlehwepMatMi,c fMuancntdieoln JiHn.perAfnlueopriodoecmtiaonloiocgiacciidnvpersotdiguacttiioonnof workers. (3M unpublished report; 1998b.
hOelpsaetnicGaWn,d BluiprirdisclJinMi,caMlacnhdeemlisJtHr,y ZteosbteslinLRf.luoSreorchuemmipcearlflpuroordouoccttiaonne esumlpfloonyaeteesa.ndJ Occup Env Med (1999, in press).
Roach DE. Fluorochemical Control Study. Paul, MN May 25, 1982
3M Unpublished Report.
3M Company:St.
Schuman LM (1982). Letter to Fluorochemical Control Study.
Dr. Frank April 29,
Ubel 1982.
(3M
Medical
Director)
concerning
VinolHlummearnD.SeQruuamntibtyaLtiCv/eMDSe/tMerSm.inSaatlitonLaokfePCFiOtSy,:NPoFrtOhSwAe,stPBFiOoaSnaAlAyt,icPalO.AAJulaynd19P9F9.HS
001319
EPLO0aOmG Pag4e1 of85 ACKNOWLEDGEMENT The investigators greatly appreciate the contributions of Kim Young to this final report,
001320
FaEaheirooors
Tabl1e. Randomspe sestonbyDect departs withpercent aticipsion
Deptumbsr Dep Name Empwilth 0o90loysstioen cosdes
ToulN Semplesize YPeauricipu0ed)
ky
MDyemReDeecd 112 30 s@ san
7a6t20
DBelcdagtu4rOBpedrat2iOonpsersions 2i 1 1m sao
"60
Deca Bldg3Operstions 113 0 sE san
0
DecBldgaiNtOeurtorns 60 is Ben 209
a9
DeScMaDMatimuSArRC 54 is wey 10
aaos5s7 Ta04
PMrSioupgcpleSyCehIiaisnnRPersoncoeusrseeEUnr8igrOcN Deca SMD Chem FactoryAd
2 1 x 4i
Bey sa
77661065 id
DDDeeecccaaatttuuurrr SSChMMeDDLmCoShghiimp RcQesvuhasAeys+s.
2245 1]
7522
DecaturPCPD FFAdmin B
s910
Decatur EHSER
Employesrgariessof090or 190 ocion
a 5 5000 ow
22
as5ss 20
&
i254
``oAAttooo&&&CCCrhheeemm MMTiiNssPEEInnRggD. to&Chem T Mig Quali
5s00o) ns 41(0110500))
we ian
8
es
A ChemTo CMGMiE (150)
WaosttewatereatmentDeempclaoyeeWsaste Trsiment
` 5 sam 00)
Ta1bconltinueed)
Depthumber Dept Name
[snr------Deca Heving Plot
Film plnemployes Allremi1n90iocaniogn
Departmentcodes
Dineen TTR
[--
FwEahmieoo0osfss
ToulN SumpleSize 10 4
VPeasnicipu0ed)Ne 509 ie
- say nes 2s 5 Tesdo 209
g8 88
EspLioooeens
"Tabl2e. Number (nd pec)ofandor sl, luce dl ican chemical plbyedemogrsaphic harris
sump v= 126
Volar 1)
Al Paris8 = 187)
Genter
N
6)
Ne Female
2a4
a9
oinn CyThWeoomrikeed
a
Yo
$
@
GuCCaalteimoen rOopser 47s
on
ENNiinlmgOperessr
5i5
do
SWSeienrreceOnypeera i":
a
N
6)
N
)
29
5as)
IH33
218)
n3
6"
0w @
ii.
ao
"55 aco
isi
ii@o
u7s a
i0
@
2%s a
oLgoEnCigeemOsocbptirOeprmor 97,
@o
02
a
&
EFtirimicenrns
ai3
I@ fi}
i2 :
i ao
8SSicGprreyeennt i7s
a
pi| s
@@@
Wane Opera
3
@
o
nEt5 Pb@io
0%s aio
is57
@
wEhmioo0s Fa 353s
Table2, (contaued)
Sunple N=126)
Volunteers (=16)
AlParicip8as= 187)
Chew Gum
~
S`oAmbevtayismFersequenty 52
2) -- x o
aa9o
u
eoyy
x
62
oan
Rarer
%
Go
%
@
5%
CheVwerTobaen No
1015
a5s
85
oao0
1525
a09
SmoYkeeuCigars No
8a
o@y
iw
[a2y
2sss
on
HanYdeto Mouth Contact No
5
o
21
aonn
E1F}
&"
WasYhesHands --MNeo
e 0o3 5r aas w is2 aaIoy, owwa oaeom n
S8 88
woPtwssoss
Table. VPearcdtaDge ofelyreboihem random spe, vhsallsiba s sponded ty sureswokad ver
CiumnntygWok sN unpevE =120 VN olee (N=6 AN PNatl i 04-18)
3: 5 Ros
22 @0oy FO
a2 GaGyo9 3 oy
o5 on& "oy
pIv i-- sisi
n5Bo oGe x Gy
52wo G9 a oy
5 ano a0y Bo Gn
F2iim Vanover
aB5 o may Wom
uu 5 o a 9Gy wo
annooo aydg FI
EivnbeiunWnogrgk.e.d Nxso upeoon owN Vooy ren WM N paiE T ns
S2'o0s sx0s
a2no &oGwy 2 oo
n s rRw w: ao
0 5 na G w wo
g&g 8
wiNie ahe
a2m6 x@
B Fs I m y a oy
m 6[A lGo 5
a
61
@ Bo a
SF[B ierlwmeewe a2b1 a0 y603) 7 12"Tm a6 0n)9 a6xn0 G6a0h2h)
FwEanen7aar3s
Tabled. Seam fuochnicl ees pmofan)dor spl,solesdll peticipn hia ples
Raton sample
Voters
Alc
Mem GomMaormic Nebo Ruse Mem -- ew Men Rage an ["ve--e vei rue
FOS IS 0% LM 060 129 07% 08m Gom-ss0 Le osm ams 0. teee
HES 0s 00 om ams 0m am ems oom om am 0 ocor-ime
TOM IS6 0B LW Ome 106 0s ows oms-4sw Les ows 120 oars--gme
FOAL 0G OMS OMS OMI-00 002 007 owe GoN-036 0m 0005 oo oaoroae
MT 0m GO 06 Gom-0sn 0m 0 ow eom-am ou 00% 00m omer
HOSA 0m G05 om: oos-aez 0m9 ows ovr aso 00st 000 000 omor om
--M_--ON 02 ome Goi-a% 7OM T0mTTGon T GoR ne T oom m om taomn sooeore-omse
a. senifany iin p<.09)geomet mean anvoles, senscs
g 888
wEFnarcaests
Table.
Demogptic
cohcmraeistsofOouummmeel Jb G5 WH
ccobrUiEas of of
nd sample mEeTne
1o26a)otf chicscelyes WEN
SdpG iete m awaye
axf deen r
w 4
B=
woo
oww "lie e w"hi epa3a
Wei5Ne Waof
Wip S% pbi5
mabSe) nn fe
25u01s whw SW ehom n pe
w5m
ow7om
WS B a3e moowle ao3n
Ymo yVaata
wie als eitee wit alts aie
bTBS=eS n wpi2we iS In Si;5 h "%: hIP|n a a "o FHw5e e obWiws
-- f=ae
M0 wie
Nee xe xe Ne wpme asEw deme 4iBm
ne 1380
wes nog IaaWy womo,
Aoy(5sVaan sinton i
d Mo owme wSeE sSe EMwa Ewma m sm u,en
2 Bow 8 wants
w Wo owwe mNeE wSmH w8 m m0 ewee sgee
SM Chee 3W6"w em wMeBr e4eGn nw e a0mbey se
Cto inyidm epp<< 5dep eeail
aEPMLooos Page 9013s
Table. Mcheeamni,cagleeommeptlroiycemees.an and media ofserum uorochbeydmemiogcraaphlic charctrsis ofrandom samp(lN=e 126) of
GeFnedmearle Male
pros
Men GeMoemeatrnic:Median 0166876 004m9 0143102
Pris
oar
Men GeMoemeatnric Medi Men GMeoemenwic Median J 0O3n8s 00020s 002032 0m6s1 0i3l6a --0r--osve
HYeasTonmoudth 136 LOE
No
1810 06M
0L9O5 002d% 00118 o01l6l8
1lesne 0o9e iisast
WYaeshshands No
LML700487 0LmI 0023%0 0o1n 00112%
11s2;6 o0ms s13w0
cWhoermkiecdalonly in
YNeos
1M9B2071m2s7
32S
83
0I7S 0o2s6s7 o02n1s0 0o3u0l6
1139077 oLmuee LLoese
Table. (continued)
PROSAA
Men GMeoementric Medion
GenFdeemrale Male
Q00O6 00000130 00000029
HYeaTronMoudth 006 0009 0008
No
0019 0007 0M8
WYaeshshands 0s 0009 0009
No
007 0005 0003
inWochrekmeidcoanlly
YNeor
000024 00000060 00000088
2 &rrru--es 2
Ms70
PrOSA
Men GMeoemeatrnic:Medin Mean GeoMmeetmric Medi
00017675 0000K5" 000027 000083 000023 0000HM
0O11533 000805 000861 00005K0 0000132 0000M2
008152 00005 00662 000065 000030 000039
0011620 00005 0000%8 0000569 00001M2 000013
mEPMLaoos PageS0orss
sss Mem MGeoemetnric Modis 00005s% 000031%4 oooorm 00008% 0000%2 Oooom 0000%0 000036 0g0e2r%s 0000568 0000179 oooor3
fwBowcs
Tabl7e teetrnenssshso mreandommea palnd(915-51o3)fcremcoemeticmsnof em rcels bya caretjo
og
oWcra ET omeml
EaUtEah MmEem ofammm
sweyy SlGOei
we oe
No GSdm
oaiee onume moiwe ole oT te odT e eer 0d ommaaee eolmm omoeen oontn oglne ongse eegel
Sn GSeEm
onwee osTm oobmo aoTwen oeiees oomlen
aCiTe eon adm 00th onthe otohse ooomden oodmiene enpteir aaede?
vouMoo oanne osulaie ooime ao le n oe aadsa om ne e ont%e
Gweelm onalrin Ta oowlen euTme odene ogeTes opleer eilse
moos eomme aenm' ooomn ami oamtrwom oneens ouomar
GSEmL oolocomon oono'imon oooCeton anoiowhten ogousnt aohmea ogmnp aseeleSens
fo
2SS RaMnegme.
88 WgEm
040-003s0%
otemh
ooolb adsem 000092-29099 000080-704.410
aolme oodut GGM02-608T0 O00S4-5O.NS
00000-30907
00otmeh
001o0a-053 oo0s0y87piss
ognet eneeed
Table. (continued)
eroNses Rage M6CMLe.n
0000I0-0G3OI 000o1m-04 OMI0-00708 001o-0m05 007g-m00s5 002o-0g0o10
00o-00ss5% 00o3-s0200 00o0u0sS 00oIGn-eaMO
neseVRiuesne 00oMo-n0NE o0MIo-ON0 OMoZo-017 OIoGn-s0M6 ooood-00s --OMCIGMLeC_nL_ON00-0o50-0oN21S8 O0U03aR2-g0O0u61s 6000006g-g00g15 OO00M4Io1--01o335 00o0o6ngi-o0ao0n1is5
ah)comparisonsfo cach currentjobcategoryusingstudents p<0.5
WoSus0t00 00o-a00%
05o-oi6s 00 0_0o0og3s-ogo0o6m
aEPMLoons Page20185
0oooosisue omouset busooorn 000osboe ooo00wne oot00h7iss 0oos0yo7o-ioasomno oooiottoagneoss
328 88
sErmLooss Page S3of 5
"Table. Fluorochemical stios bycurtenjob cateforgranodormsaimpeles(N = 126ofchemical employees
PMreaons RaMnedgiean
PrMOSeBnOAA RaMnegdeia PrMOSe/aAaniytes RMaendgiaen MMTeOnM RaMnedgiean
PFMOSeAwAMSSS o RMeudiean 2 rroMswennssss Medan
Range
GeCel? O59) 3530 139 i15o0
S6216% 490933 233s 2075 0o3s OISI3 0014
004-12
OChepmiceal Od) 5s2 L-MS 0099%
a774 13-6IS 3307 0S-as 0029 00-85 3003
083-307
EengLiinbe)er! s52ot
16S 2i72m
3a5m 05-368 s5a7 MeSMA 0131 04s 0235
003-183
Mien! Opnrilot Ne) Me)
Saray Swopner Neh ei
oWpanep ee
10s3ave 376s
43g5s-e9e
ogss anna
5s3o aeons
6n6e sens
A1132FF0os sY u Y2g 0PRgPCgisPL 11400
5a2 LHI
ao3r 250s
9or 32097
1607 1aiiuz
29530 os oes
2373% 12787
saa3 v 3322 tas 224
s23 leses
io3534s
o0s1 001-3
2230m 02-57
0g2p 005e0s
0L5ie ocean
003s orow
0o1ar 2716 2275
002-27 08-823 09-37
043
002-641
0236
003-118
wePnreaSohoosrss
x
Table.
Deamoganrnpiitc charte[rseofilnongsjob a oltm
ctggiriemsofeadosamploe(ae3m- 126) wn a
of
hSeaiyplesSFwai ey aT
Owpeas
Te
a"nl&Soenn l-"Wa
oa"l2a
o"Iu
n23tIss oa"6Tus ala=
whEi2Nn
rSe5ewanm W2aahss
a aau1s
o0moh
Erudid 2wa%1 w32iih
=5uins
vmjarnees 5
uwhh
en Pi
a7:
u:to
i
ETsn
u5x
uao
f= Got
Niw N3n
N1on
ini Nn
2a5 wow
fia) Ww
=: aw
Taoe ony Wakes
5safw
WsGa
Wo a wonTaae co am o1a &3 oo
ebVmya a nEI ow sion
ua
HoR w
LTaw same c3o8 ow
ok3my
2PmE won ow
Wanitos
sPwe
trea dswe rsmm aom
P2gyw
a5 a si a u? a6 HLyEEdE ETE wEE1g
3) Sicgomnpayniodnisfioerncsapcehrcleonngaegstoabmotnegoonessinogbcseernisc,po0i5 s, <05
aEPMLoos PagesSorss
"Table 10. cMaetaeng,ormieesdiaamno,ngg reanodommmseeaamtnplaern(diN95=c%1con2officdh6eenmciec)ianlteervmapllsooyfgeeseommeeatnorf siercum fluorochemicl levels bylongestjob
OCpheemrical ey
EnLgainreer ove
MiiNnieenancs'
Opweiraltor Secrery SupMegrmston!
Ne
Neg
ot)
Opwaesrtoen -3)
PrMoesan Range
ON2E0-87840 0o0-s1740
0229215-010600 020o0n-s2000 0oI9s-sLUD
0009313-6120 025263-848840
GSHMMaCnL LMLO-e19t% 021g9-e04s96 0LIiMs-p239 0MoIs-0sB2 DI2G9-05Ss3 0o2Bs-0007s64 02415-3766s00
PrNisew Rage
OoOTsIe-LBO 00o0i5l-s00
0302-9712
0080-1017744 00Mo-on017
00o1s0-03 00s025e6se
GSMCaLn 031o4-s048t0 00g-e0e1n0 0100117-g0307 00o-o012 00o8-s007 00o-or0193 00os0s m
PMoaen Rog
OIE2Z-96760 OS0-2m1000
02L16-647680
045L0n-230 005a-r0y261
00041017 90 093262-119680
GIMCaLn L4L-2o2m9b5 0IgN-o0u29s5 0-1212900 L0OL-e16tH 007on6p-e0t3s 00o2-r05s10 088L-o4i16s6
PrOMseAaAn Rage
00010-2029 000o1o-007 00010-00
00o0o4-00 000010-002604 00o0on-009 oom000c8ols
GSSeCnL 007o-0n016 00o-0s0t10 0OoMi-00 000o9i-002 000o1-o00r2 0g0oMo-g007 0003000s60l6
228 wmMem Ram
0M0921-309 0000B6-00I6 0002-60971 00050-60MS 001o0o-n007
0o0lo6n-021 00%01-0asisy
8A GSMCeLn OUHo-0n16el 008g-u0e06 0o16a-03t15 00o-o002 00o4n-s004 00000-s0096 003000-905177
Table10 (continued)
ProMseaan Range
OoIom A OW00I0-16006 0000109-5062
SGAMCaLn O0IZo6-m00M0 00020-000 OO0-0100GE
MssMeean Rage
OWIo-oOn3M0 00o2o-0BS 001o5-n0406
--RLCSGLMAe_CaLnOIDOM-090-00m04M O0M6-g-O0pO0Ma4 00008g--0g1g3
(wh)comparisonsforcachcurrent jobcategoryusingstudents, p<.05
0020-0102204 O0oIoB-00M
000020-03045 00o0m600-100m0i1s5
0090-00080 00o0o5r-003
000o3on-000 0o0o3o-0o00r017
000002701 00000-0002
000-010909 0o0o4ooo-ino0e0r
sEPmLooos Page Sof35
oseoeoer 00es00r12am oom006a7isr oooo-0g0ni3sme
82 8&
ohfomie
Table. RalfBroce by og cigs amen reo se 3-126) hic clos
oni Engng
wi
Spi ase
Operator*
N=57)
Lab
N=21)
Maintenance"
N=14)
Operator'
N=14)
LL Secretary (N=6)
LL;NY1 Mgmt
N=7)
Operator
N=3)
--NMe eeat--n e i5048 fEiea f5ead B3aeger 0i5h64 W650M 492
NMe eeana at5Lobes wi23e0a a1Lsh. a5oe3ghed W32B6% B332656M,ete 9ot,eer
ojeosn m 1i54 53 ate elle
f55n oaaJths
$2
P 35s W, 252
Misuse
PjrMooesaanuNss es338ts fS4ep t335nM w536f a337h db5a3hr 03320
ogm MNeiank a5n093e* s ow5Llts a05t7a at523hhees a50e32 s dIH1l4 a oo0tf2h
8 wosnsss
&
MReMheaeatnwtea oopm2Hp6i"mrroomn23ot2mwss eem0oaof54ar eobsty74hhs oosr32hs6 sr (0)comparfiosrxohn longest ciety wing den p< 05
oaddoiFlueel r
oomd3Lleasr
EFaaeaSwsorss
Table 12. rMaedaonnresnieec(=o13m6)em cahneamdiec3a5l6cconlfideoncewheercaelmosfsgaenyowmomkeeactorrfnicrcdToor(choehssong
ros
oBtls, Bdne" obeys B"RteAntK B0e) Weser
NRee omolsim om2eauo o2w7 iehouen a 20m owdeie
Go9vecelm rus
oommioss om13i0lsim e2r0sie osocsasrs aLomn onIi
NReee on0ion oooimemo oooss m omoimem ooesom omoissiae
GHCeL ron
onotnsom omoimiem
oomaenase o0m0sem
oowmbem oomimlime
NReewe oomsistim oniine0 eaem e od10ie oa20mth osstohme
Gaceln rosan
om0t0om 1o2m5 m
2amen odLiiiner i2aam onLtmhe
NReuwe omiolmomt oomuicsoms o0o05mslom ooomaoaon oswosiaon ooinoban
2- HGCeLm omomolmomo oolooonms aoobmeon oooo n orooen s oomren
rg 8o e M70mm oaonm oo0oTmoms oowmen orodmTem ooime oiolmers
6HCveLm osdoToonnls 0oomoms oomimcoms oomomion ooonmtmis oatmtows
FaEweneoSpsarss
Tabl12e (ontined)
rNosTeaamw OoWuSSs0N 00ao3n06 0o0i x eaoloonemn a0on1ewr oioohon
GHCvL wise
omooem n owioocmoms
ooosscom
ooolososen
saoosiws oomnse
Vfeen oomonen oowooms aonmsiom onoiomons omaenens otoosie s
aHvCiaLn oNo0oSrow Vesinchemit
ooioommi
aoosoimoons
owooimoon soaloees osoaom
Menem ww uw s s o5 ws u
g 58&
3M EPaPgIe-060006of 85
Table 13. oMfeasne,rurmanfgleu,orgoecohmeemtirciaclmsefaorntahnodse9e5m%plcooynefeisdeinncreainndteormvasloamfpgleeo(mNet=ri1c2m6)ean `who said they have only worked in one building/area
PFOS Mean Range G. Mean 95% CL
PFHS RMaenagne
Bldg. | --ON=6H )
0.474 0.129-1.700
0302 0114-0797
0010.31-107420
Bldg. 3 oN=e7) 2561 1450-5.120 2293 1453-3619
0.1501.8315.860
Bldg. 4MX o(Ne=3s) 023005-201838 0.554 0340-0904
0.030.80-603.152
G. Mean 95% CL POMAeAan Range
0.064 0018-0223
0.164 0053-0386
0519 0.185- 1.450
3021 0366-6760
0.0309.0-604.103 0.415.00821.850
G. Mean 95% CLL PFOSAA Mean Range
0.125 0053-0294
0001 0.001-0.003
077230-353351 0.030
0.005-0.118
07119.-0310476 0.020
0.008-0037
G9.5%MeCaLn. Ms70
Mean Range G. Mean 95%CL PFOSA Mean Range
0000.100-10.002 0082
0015-0201 0.053 0018-0159 0.023 0009-0060
0.00050-106.047
0.06033-108.480 0274
0145-0520 0.158
0003-0569
0.00080-105.027 00206.-0400053 0.0208.-0408.081 0.00010043204
9G5.%MCeIaLn MsMs6ean
Range
0000.90-190037 0.022
0.003-0.585
0.00090-505.324 0030.30-907213
00110-.00.31408 00040-0010019
9G.%CMIeLan YeaMresainnchemical
0000041-40045 2
0.004.20-709.150 1s
0.0050.-001.3034 16
001339
nEPMLooss Pagelofas
"Table 14. Age, BMI andyearsworkedinchemicalamongcurrentjob categoroifelslparticipa(nNts= 1i8nch7emi)cal
Ocpaerltol OChepmiecsrl O0-N 9) COeen)
EngLinaeer! oeei)m
MMaoeneiemns!
OpMeiraltor Seer' M(hee20) (eNeSs
SpMenmiseorl oevae
AreMean Mesdeian
2a1 "
aa1r2o @a1o5 a1vse s13as g1q3 a1g2a
Range
ss Bw Bem mem x2s wi"e ute
BaMean Mesdeian
5183 76
a073 [243 23 23
2063
a1r1
n03r m1e1
Range
15-30 om 16om B26o6 2w6e5s al2k0 2w7e6e
YCehaermsiWcoalrked In
sMeean RaMnedgiean
a1524
i1e1ne 10
1292 Ww
2% =a in
2i6e 5
op s sp59
'
2a10 24
--_--_--
3 1m 225 -36 TT
(4) comparison forcachcurentjob categoryusingstudents, p < 05
OWpaestrea eesss g07g we50n 5ia a2s53t
3is i1m
2
Q
3
sEMooos PugeG2ofss
"Table 15. Number(nd percentage)ofdemographic characteristics amongcurentjob categories ofall participants (N = 187) in chrical
OpCelelr 0)
COhpeemriacoarl vey
EngLianbeer! Mumewne OMpiemlior vn eerie
S0e-5c) u
Subpeermson o-26)
OpWaesnteer Nes)
GendeFresm Male
3a6y9 snea)y 290069 n0a0w a3E0)) s00ao B3E0 esmao
COhnleymiWcoarlked in
NYoer
G5699 aeen insne) w2ae)) 220 416000)) n[eCyC oo
HCoannsdetot Mouth
YeNuo
0@9 wuoen) wweaey B10oo w0e)y 326000 sneeyy 236600
WasAhlwHaanydss
389) way
Lessfoqunty 101) 519
nBeoym s2a0y9
nsea)n
230600
B0E0 230600
-_--
Sinica ifrnt(p <0) proportions betweenjobcstegoriesh,i quae test
282 2ig
aEPmLooss Pageaiorss
"Table 16. Maemaonn,graalnep,argetoimceitrpia(cnmNt=esan1a87n)dof9c5h%emcioncfaildence intervalofgeomet
Ocpeaned OChpemeicra] EnLgibneer Mime!
pros
&=) Ney acy) om
MReaagne 0-2266680 0191-5379260 000-61110 02911m-40
GSMCaLn 09L14e-n2s93 125L5-O17O0 020-3000M 09L0-a1p9
prMiesan Rage
O00B7LS0 0oGa-n10 00r05y-0905 0050-3019200
SGMCaLn 0MO6-g12e1e4 023g9-0a35a7 00g0-o0s11s1 010g7p-0g2e97
PoMaean Rime
DI16s-360 012510-96760 00043-62330 02s-n460
GSCMLa.n 061192-g257 LSLWT-2e14 014r1o-0p2e7s OMgBIg-LER
PrMoesaanA Range
000o1-o0051 0010-0102269 0000101-0003
0000103-70125
FGAMCeIaLn OMIo-o0m08 00oM-0hMD 002g-a0r05 000070-1s002
S&msMReem 000012s -0 00092-83810 000M0-s0t410 0002-307701
GKMCaLn 00o20o-m005 00or7g -01 00g30o-n005 010o-0i36e7
meanofserum luorolevselsbhyceurremntjiobccateagorlies
OMpeinler Nee 0So-s200 OIgH-o0r6Te
00[-303 00g3o5g-e0a0s
00I1S2-1283M0 068o-g1r45e7
000030-2005 00o2o-r003
0OB00-s0NS 00%g-0g047
Seca' SwMpeginstor/ OpWaesnteed o-5) 6-2 Mes)
02040st-10 00911-m1060 020206a18sso 02g0a6-g0e6s8 0510g-10e88 e04s95 seess
000N0-706172 00g-g0g13
0h0391%a0 001o0-u00
oomosis2i0 000gaapmes
00051-607261 0021i28u9so 09m16a63mo 0106I-0s23s6 0ge3pp1acmtes Lo gepss
000010-002008 0000-01002
0000I000905% 000s00a0o9is 00000s0ses 0000s00e6ons
0000013-6007 0010100-05 oss008m7ise 00o15o-0057 oot00060%% 00soomma
Table 16. (continued)
ProMseaan Range CGMLan
00000005g-0015 0Mo2o-n0M5
00-oo0s4s87 001o3o-005
000o-on0063 000o2-n00e05
MsMsean Rage
000030-30035 0o00o1-n030 00o0a2-0033
--OPAMGCMCaLLn_QO0G00o-6-n00i0017 00M0-3o40-s000s5 00007g7-o-00i00g114
(ah) comparisonforeachcurrentjobcstegoryusingstudents
00010-0065s69 0o00o5-0027
000o8o-s0s406 000334o4--s0008s858
00050-00s204 001o-or0035
0020-010s045 00O0M0g8-o-00n00eM14
aEPMLoots Page6i0f 5
00o03o-s0080 0000050-520612 000so3osl 0OoMo-002 0000}0-00701s 00oosnoi 00oMoi-s000 00000-s036 00m00i87ss 00004o4-o-n00027 00o1i0os-oo00ur2d0 oaoorl,0a-0o7smess_
82 a8
sEPmLooos Pa65gofe85
"Table 17. Age, BMI and yearsworkedinchemicalby longestjobcategorieofall participants N =187) inchemical
OpCeplo OChepmiecall EngLianeber! Maen'
N=) ONT) mesh Ne)
AseMew Mesedan
2"5 is
a10 a20e
a"
a
ais
Range atv
38-46 Be Bem mes
sMeean Median
25148 20
200s 215
8009 27
n077 27
Range
WB mew 2% wn
YeCahermsiWcaolrked
SMEew Median
in57
1i1e2
2i3e 5
2y5e6
Range
225 ft} a} 1-3
(0h)comparisonforeachlongestjobcategoryusingstudents, p< 05.
OMpielr' e200 s14as n2s 311 w2i65m
oPseas 1'a
Seecrnecy yg17 at"s 2112 at51h
g5g7 2@3
Sunpiegrsmotn, (ver ape1t7 r masos 3io e2w1
E33d 2}
g2S 2=
OWpaestnes es s23e w5s2 6294 no25m3
u68 a5n
wEPmLoons Page 66of35
"Table 18. Number and perocfdeemongratph)ic charactbyelronigesstjobcategoriesofalpartcpant employ(eNe=s 147) inchemical
GenMdaetres Fensle
Ocapre N=)
OCMhpeemeioc)all
EngLinaeer! Mamennce' Owpieln' eid) oe) (ean
Seernen!
Swbegnston ois
OWapstne ee
NJeGo) 8Ne6o ow sa2)
5N0YH 39
00Ne0o00 oes
2NeGd) S49
0N0eMo) 700000)
DNeigy 30
N3e0o0) ow
iOnnClhyemWiocraklesd NYoer
216679 BwisEn AeEy 006)0 u20e) 3 an 3766)) 3oa0o00n0)
CHaonndteMouth NYoes
3o0w00 1s9e2cs5)) u1a) w66o0n)
Wa"sAhlwHaayndss
267)
LtesesPrfogelny 11003))
2120068)
NwGOesY
3e3009y9)
* Significantly diferent percenbtylaogngesstob categocrhiisqcuasre,p <.05
naess 3166)7 SS06600) a00o) 4n400es8y) 334@607h)) sR a06n0) iT o26)w
Sg h&y
a ies
TR 1.Mr sn, ns, oTme ec ennd35 one lo metmen Bsry ges bcc ang
ws
oE com W gGmatEEfeteh eCuem ogtmhe
swyy CTEE
wie am
RHee WGeEn
owame oanme oadwe otaee atwBne 0omm ooew 0ohm ani ofarte tplohs daTe oedeee oolmeen egSe eid
wybee aLlEe oeomf lome oedwe aalm oehnm otoms onodme
WGlEen | lodacth waTws lsamnt GgmWs eglm a gg egTga aoad
voME oo on em wdafme owlee oluese mlame oame oetee oiome
WGEl eh ae e oe oodm ome er aml aolme 0 ga
woE Vmo we em ealmee ewtnn aeom ouem oadme ow od o oud
8SWGElen oo n a foe wedw oomte osott oomne elamie oand
EEBOweyE wmeeowP awee oeen owne oeoen 00aem onowt
GWlEen aeamt ae aolede oonwlt wsalte ogthme nlgee aoato?
EFaacaoverss Tabi. ond) mosNRseewe omoimos amoime owoems omiocween ooenomem oaomm oohmm aodotnheen
GNCeLn omow' aoowc owimtoMms ompittew dooomms omigouumes owlguemes omohmen wiYseoRenw oiolonms omeimim ooolomme omoiomews amboowios osecinhmo sowobna ontgunier
lCSehCmL oomogo"oGwe s_eooolnwGooenmn oomina%ioowmnn_ooomueeoaosowst_ow_aioConhzoormsm_o_mhoimioosuoen oawosg woriumm orvteoouomgem a)comparisonfo cach ontjo cig using sens, < 05
gg2 82
FaaEhweisoooers
Table20p.riMceinp,arnatnsg(eNge=om18e7t) wmheoacnumaendnl5yw%orckonfnildeynceanneebullodfinggmeeohmeemamnioefsetrumforseeofall
ros
aBig)1 BaiUnS a Ba BoAanX BoEs)N WaFseywssr
RVoimne GosOsL on29es 02036 0 moosts6er es20om s on2i76ree
GSCMeLw ous
0oMns0 L1mI s2e00am omaieess m1i97m on136s0
NRaee WOaBiSsOTI eooes-m im0 a0sI6B7iM0 aomoicome ioais m ooisi
GTHeCLm roa
00o9n-0 0omstsm
osoaarse oo0w0seoom ow0soam
oodrmin
RVaege 2onM s ne1i3en 02d0i6c5en0 ow1S6amo Le2ase aoLmhme
GHEaLm rosa
OxO0M o1m2e0n
s2aam m oasaociss
n2s0ams
onLdehes
RiVnegne OOoIonSOH 0a0o00S 0000020026 0o0o0d aaomooeos oo000hor
B8 OSoCvLe 2 wn
oo0m0-0o2ms oami0-om aooom-noms aooowsvems ooanontems od000e7 m
& Reane O-a0orAID 00r0s-01 00om630 mai0cas aoasmcsems aoanohnuss
GIMeCmL 0I0I0-00US 000-002 0xooa-aks ovawmosoow osonomries orooMnoms
aEPMLooss Page00135
Ta20.b(clonneed)
prMoesaan Rage
005oo-i0s161 00M0I0S06-001 0000310-9035 000oo-z0e204 00032-51048 oss0007pon
GSMCeaLn 0000M0-5000 0020-0003006 00-o0o066 001001-07028 O000E519HS oo00m0w6is
MMssen Range
00o-o0n17 003oo-r037 00o4i-03M 0o0o-n000 0m0S07-60ns ooroossis
SG MMCeaLn 000-010300 Yeianchremiscal
0000601-0007
000T0905I5
000001003
000l0o5m7ie oo00a33i
--b NMewe__2 0 Inw 0s3 s n m i
g33 23
aEPmioons Page 710185
Table 21. nMoesn,ebaungielcdoimenitgn/cmhaeerminecasalnd 5% confidence nevaofemetmeia fco all paicipa(ts= 47)who sidtheyhave only worke
aBiiosn1
oBitsy3 Bi[gg ihx
broNses Range
ooam n Lo26s3s ooosrseom
SGevl o10o-m0s9 Leo20i7ies osmoiicrosm
pNenes w Range
on010o oosxcoil aoousa
SeMerm oomo-ssom oomeslmies ouo0isos
roNairen Range
omio-s0sM6 o2s007e ooossemism
s6 everm omosn-s0m o2l00e9 s ouoranies
ProMseanw Range
OW0I0-0030I oesoamus oodo-mo0e
S
SCMLe omi0-002on oowsooms oil00a7ns
3as
snRMaenge om00a2 ooos0sm 002o5-u0061
6 Me
oon
oz
oois
Table2l, (continued)
scl
proMseaw Range s0mMcen
wsRMaenagne e6Melm ea
omi-oow oim-o@ oms-oes
ooooson-om0 omo-o0m0le
o00t0007ss omeo-ono2on
o0iosBt0%5 0030-0s0946
005om0s21s 0000000n6
n
00oso0t 0s 0e0o9o-i0sms
006o00ism oooorn-ao
i
aEPmLoons Page 20185
32 aa
Teomn
AE eMnnlebf eri ponmd te gy ct
ro hm pen oe
rome rita se
booeon
u3ahs ut2aa
a3w'o
ow3ao
i.i.
xmn
a
a
2n
YForoNot
fFeo)
bia
us
Ai
hii
s 522
ETMPMLoons Pagersorss
`Table 23. Mcehaenmi,caralngpel,antgemeplooymeemseewahtnoasrnedci9ur5tc%entcoonbfiwdaensccehienmtiecrvaalloofpgeraetoroocamgmieencatenrorTfashiercum luorochemicablsy gender for random sample
PROS
Female (=Ch1e0m)ical OperatMoarsle(N=37) rats
Female(N= 6)EnginectLabM.ale(N= ea SENA rereMS
17)
RMaenagne
oanL-i2s3s 80
049019-673260
010101-607281
009057-919740
95%MCela.n
076410-5114047
1345L6-215962
011051-507214
033065-400368
PrMiesan Range.
00710-1094004
01304-412860
00005-002081
001082025005
G.5%MeCaln
011091-602735
028503-60465
001o1-o0048
006091-201210
PoaMrean Range
010-132012100
074524-967760
00305-100300
008014-723320
oG. wMealn
070011-2198018
182201-628570
0083oo-r0141
018602905.468
PROMSeAanA gS Rem
000o1o-102109
000100-401265
000010-004018
000100-107073
a5 eMsecm
000020-006016
000o8o-r002
0001o-o0n005
000o4-n0s084
msMenan Range
00o29u-s0357
00090-2600992
002000-406093
000800-804410
6o.s%MCela.n
005o5-s0?139
009091-406217
002400-309064
003300503.084
Tables. (continued)
PrMOeSaAn Range
osG.%CMela.n MsS6M.ean Range
GscMlea.n
EE
--
"p<00s
000030-603315 000070-20062
000o7-o0n118 001040-207050
000011-009487 001060-300055
000010-803380 003050-800073
MEmPs Page 50085
0000oo5r-?0063 000010-005024
000030-100027 000040-007014
00oo0r-?00.0560 000020-004010
000[ 2-0127 000060-100019
3s 2&a
MEPL0006 Page 76of85
`Table 24. Distribution of film plant participants: random sample, volunteers and all participants
Have worked only in film plant
RRaannddoommSSaammppllee a2
Film Plant VVoolluunntteeeerrss
14
AAlllPPaarrttiicciippaannttss 56
(Have worked on
D-1 maker)
[0]
@
(Have not worked
on D-1 maker)
[5
a3)
"9)
`Work in film plant
with previous work
in chemical
--_--18t
22
220
Total
6
16
76
001355
aM EPaPgLe-07070o6f 85
Table 25. sDuebmsoetgsr:aepmhpilcocyheaersacwteirtihstoinclsyoffirlmanpdlaonmt seaxpmeprlieen(cNe;=e6m0p)loofyfeielsmkpnlaonwtnetmoplhoayveeewsoirnkcelduding on D-1 Maker; and employees with prior chemical history
Age Mean
SE Median Range
All N=60)
46 Li 47 23-59
Only Film N=36) 4"
15 46 23-59
D-1 Maker N=6) 46
3.6 48 30-55
Film w/ history of chemical TMN=18)
43 21 51 28-58
BMI Mean SE Median Range
280 06 278 180-418
282 08 278 180-418
269 19 27.5 217-317
280 Ll 27.6 200-379
Years worked
In film
Mean SE
137
137
100
17
92 41
154 24
Median Range
14 01-360
14 01-29
6 1-21
16 1-36
Gender
Female Male
nas) 9 )
6 an 0 @)
oan 5@)
4@ "8
Current job
Engineer/Lab Film processor
16 @) 23 (8
10 @8) 2 (3)
[IO) 5@)
6 (3) 6 (3)
Maintenance Administrative
10 a7 nay
7319 719)
[ER
2 ap 4@
Longest job
Engineer/Lab Film processor
B@ 26 @)
719 15 @)
[IO] 5 @)
6 (3) 6 (3)
Maintenance Administrative
ns 0 an
8@ 6 (an
[Ei
2 an 4" @
Hand to mouth
contact
Yes No
7 23 G8
6 (1) 0 ey
46) 2 Gy)
7 G9 non
Wash hands
Yes No
S083) 0 an
23 18 5@
6 (100) oo
16 (9) 2 ay
--_--m----
0061356
Mm PEaPgLe-070806of85
Table 26. PROS
Mean Range
Mreaanndo,mrasnagmep,lgeeoofmfeitlrmicpmlaenatnemapnldo9ye5e%scboynfwiodrekncheisitnotreyr:vaolnolyf gfeilomm,etDr-i1c Mmaekaenrfor
or film with prior chemical work history
Only Film"
D-1 Maker"
Film with previous
history in chemical
-- O N=35) NN==6O 69) = NN==118y)
0.122 0032-0250
0.367 0.122-0.946
0212 0.080-0.692
9G.5%MeCaLn.
0.009.01.110%29
0.15092-809."527
0.178"
0137-0233
PFHS Mean Range
0015 0.001-0075
0.023 0.005 -0.030
0.038 0007-0210
G. Mean 95% C1.
0.010 0.008-0.014
0.020 0.011-0.034
0.023 0015-0036
POAA Mean
Range
0.052 0.006-0.298
0.122 0.020-0.197
0.090 0012-0246
G. Mean
95% C1.
0.037>
0.028-0.049
0.093*
0.044-0.19
0.067"
0.044-0.100
PFOSAA Mean
Range G. Mean 95% C1.
0.003 0.001 -0.009
0.002 0.002-0.003
0.006 0.001-0.022
0.004 0.022-0.009
0.005 0.001 -0.038
0.003 0.002-0.005
M570 Mean Range G. Mean 95% CL. M36 Mean Range
0.022 0.0008 - 0.454
0.007 0005-0010
0.022 0.0001 -0307
0.018 0.0021 -0.083
0010 0.006-0.017
0.005 0.001-0.014
0.018 0.0014 0.069
0.010 0.004 -0.026
All values <LOQ
G. Mean _--95% C.I
0.003 0.001 0.006
0.003 0.002-0.004
(a-<) comparison for each current job category using student's, p<.0s ~~ 001357
aM EPaPgLe-07090o6f 85
Table 27. sRuabtsieotosf:felmuporloocyheeemsiocnallylweivtehlsfbilymrpalnandtomexpsearmipelnecoef; feimlpmloeymepelsoykeneoswinnctlouhdainvge worked on D-1" Maker;and employees with prior chemical history
Only Film N=36)
D-1 Maker N=6)
Film With Previous History In Chemical
N=18)
PFOS/PFHS Mean Median Range
149 104 18-1076
18.8 12.7 50-466
93 74 33-320
PFOS/POAA Mean Median
Range
33 28
07-92
57 24 09-210
32 23 12-101
PFOS/Analytes Mean Median Range
100 78 02-376
256 1s 21-918
126 103 30-407
PFOSAAMSS6 Mean Median Range
19 1.0 0003-140
28 13 03-109
21 12 04-151
MS70/M556
Mean Median
50
69
23
34
7.1 45
Range
03-450
08-282
06-276
_--Pm------
001358
Table 28.
3EPMI-0006 Page 80of85 cDaetmeogogrriaepshwihcochhaarvacetewroirstkiecdsoofnrlyanidn othmesfaimlmplpelaonft f(ii.lem.,pnloatntonemtphleoDy-e1esMbaykecrurorrenptrjioorb work in chemical)
Age Mean
SE Median Range BMI Mean SE Median Range Years worked In film Mean SE Median Range Gender Female Male Hand to mouth Contact Yes No Wash hands Yes --fNoo
Engineer/Lab -- (N=10) --
46 28 4 23-58 2638 15 213 216-317
148 29 1s 01-29 2 Qo 8 (80)
8 G0) 2 Qo) 8 80) 22 QQoO
Film Processor
N=12)
4" 25 47 27-59 286 14 278 180-418
14.1 26 17 05-29 2 an 0 )
108) 2 an 10 83) 22aomn
Maintenance
N=7)
40 33
40 31-51
287 18 295 241-329
Administrative -- N=7) --
48 33 50 40-55
202 13 27.9 244-418
46 34 3 05-12 [) 7 (100)
204 34 25 5-28 2) 5a
46 3 @) 6 (36) 11a4y
46 3@ 4 67 33 @@))
001359
`Table 29.
EMPmL000G Page 81 of 85 sMeeraunm, frlaunoger,ocgheeommiectarliscfmoreraannadnodm9s5am%pcloenoffideemnpcleoyineteesrvawlhoofhgaevoemeotnrliycwmoeraknedof in the film plant (i.., not on the D-1 Maker or prior work in chemical)
PFOS Mean
Range
Engineer/Lab
-(N=10) 0.097
0.055-0.140
Film Processor" N=12)
0.127 0032-0250
Maintenance N=7)
0.159 0137-0216
G. Mean 9S%CL
0.093 0074-0.116
0.106 0.074-0.154
0.157 0.139-0.177
PFHS Mean Range
0.016 0.001-0.075
0.015 0.004-0.047
0.016 0.001-0.034
G. Mean
0.009
95%CL 0005-0018
0011 0.007-0.017
0011 0.005-0.026
POAA Mean Range
0.030 0.006005
0.055 0.007-0.154
0.098 0.021-0.298
G. Mean
0.022
95%CL 0014-0036
0.041 0.024-0.068
0071 0.038-0.132
PFOSAA Mean Range
0.002 0.001-0.005
0.002 0.001 -0.009
0.002 0.001-0.006
G. Mean
0.002
95% CI 0.001-0.003
0.002 0.001 -0.003
0.002 0.001-0.003
M570 Mean Range
0.006 0002-0017
0.048 0.003 -0.454
0.018 0.006-0.046
G. Mean
95%CL
0.005
0004-0007
0.010
0.004 -0.022
0.014%
0.009-0.024
M36 Mean
Range
0.002 00001-0003
0.029 0.003 -0307
0.005 0.001-0.016
G9.5%MeCaLn 0.0001.-000.1003
0.0002.-000.50"11
0.0002.-000.4007 em
(ad) comparisons for each currentjob category using student's t
Administrative? N=7)
ol 0.054-0.166
0.104 0077-0140
0.012 0.006-0033
0.010 0.006-0.016
0.039 0017-0063
0.035 0.024-0.051
0.004 0.001 -0.006
0.004 0.002-0.006
0.005 0.001 -0.009
0.004
0.002-0.007
0.002 0.001-0003
0.002
0.e00e2-0.003 001360
3M EPaPgLe-08020o6f 85
Table 30.
Ratiooffluorochemical levels by employees who only have worked
currentjob among in film and not on
random the D-1
sampleof Maker
film
PFOS/PFHS Mean Median Range
Engineer/Lab --EN=1100)
13.0 75 18-616
Film Processor ~~ Maintenance ~~ Administrative
NTMN==12)) NTMN==7)
NN==77)
130 28 49-290
2.6 122 43-1076
1.1 104 51-165
PFOS/POAA Mean Median Range
40 30 13-92
32 32 12-63
27 21 07-67
30 28 22-42
PFOS/Analytes Mean Median Range
104 105 21-178
100 43 02-312
7.1 70 40-116
124 9.5 52-376
PFOSAA/MSS6 Mean Median Range
36 11 05-140
07 0.5 0003-15
13 05 01-61
2.1 23 05-44
MS70/M556 Mean Median
Range -_--
86 25
10-450
31 16 06-184
56 59 04-105
26 28 03-55
001361
Table 31.
3EPML000G
Page 83 of 85
Demographic
D-1 Maker or
characteristics ofall film plant participants (N
film plant with previous history in chemical
=
76)
by
only
film
plant,
Age
Mean
MeSdEian
Range
All
(N=176)
45
471.0
23-59
Only Film
(N=49)
44
43.6
23-59
D-1 Maker
N=7)
44
47 12
30-55
Film w/ history
of chemical
i (N=20)
47
512.1
28-58
BMI Mean
SE Median Range
283 0.5 279
18.0-41.8
285 0.6 279
18.0-41.8
26.6 15
265 217-317
285 10
28.0 20.0-37.9
Years worked In film
Mean SE
Median Range
Gender
Female Male
144 12
16.0 0.1-36.0
16 (21) 60 (79)
152 14
17.0 0.1-30
8 (16) 41 (84)
81 35 20 1-21
2 29) 5 (7)
146 25 15.0 1-36
6 (30) 14 (70)
Current job Engineer/Lab Film processor Maintenance Administrative
Longest job EnFgiilnmeperro/ceLsasbor
Maintenance Administrative
18 (24) 34 (45) 11 (14) 13 (an
3184 ((5108))
12 (16) 12 (16)
12
5)
20 (1)
8 (16)
9 (18)
28 @(1)6)
9 (18) 8 (16)
0 (0)
6 (86)
1
(14)
0
()
60 (86))
1 (14)
0
(0)
6 (30)
8 (40)
2 (10)
4
0)
68 ((300))
2 (10)
4 (20)
cHoanntadctto mouth
Yes No
`Wash hands Yes No
49 (64) 27 (36)
65 (86) 1 (14)
36 (73) 13 @n
40 (82) 9 18)
51 2 29)
8 (40) 12 (60)
7 (100)
18 (90)
0
(0)
2 (10)
001362--------
Table 32. PFOS Mean Range
Mm EPaPgLe008406of85
Mfleuaonr,ocrhaenmgiec,aglseofmoertarlilcfmilemapnlaanntdp9ar5ti%cicpoannftiedmenpcleoyienteesrvbaylowfogrekomheisttroiryc:
meanofserum only film plant,
D-1
Maker or film plant with previous history in chemical
Only Film*
(N=49)
=0.129 -- 0032-0264
D-I Maker"
--
N=7)
--
0347
0.122-0946
Film with previous
history in chemical
-- N=20) 0220
0.080-0.692
9G.5%MCeLaLn PFHS
Mean Range G. Mean 95%CLL POAA Mean Range
0.1010-.01.1163"3
0.016 0.001-0.075
0011 0.009-0.014
0.057 0.006-0.298
0.1680-207.94"61
0.022 0.005 -0.030
0019 0012-0030
0.146 0020-0290
01440-.108253* 8
0.038 0.007-0210
0.024" 0.016-0.036
0.146 0012-1220
9G.5%MeCa1n. PFOSAA
Mean Range G. Mean 95% Cl. M570 Mean Range G. Mean 95% CL. M556 Mean Range G. Mean -_--95% C.I
0.0301.-0040051
0.003 0.001-0.020
0.004 0.002-0.003
0.018 0.001 0.454
0.007 0.005 -0.009
0.009 0.0001 -0.307
0.003 0.002-0.004
00540-.010292"1
0.006 0.001 -0.022
0.004 0.002-0.009
0.039 0.002-0.164
0015 0.005 0.046
0.006 0.001-0.015
0.004 0.002-0.008
0.0490-.007.81"24
0.006 0.001-0.038
0.003 0.002-0.005
0.017 0.001 -0.069
0.010 0.006-0.016
All values <LOQ
(a-c) comparison for each current job category using student's t, p <.05 001363
aM EPaPgLe00850Gof85
`Table 33. Mfleuaonr,ocrhaenmgiec,aglesofmoertarlilcfimlemapnlaanntdp9ar5ti%cicpoannftiedmepncleoyienteesrvwahloofogneloymweotrrkicedmeinanfiolfm splearnutm (ie., not on the D-1 Maker or worked previously in chemical)
PFOS Mean
Range
Engineer/Lab
TMN=12)
--
-
0.108
0.055-0.170
Film Processor"
N=20) --
0.133 0032-0264
Maintenance
N=8) -- 0.168
0137-0237
Administrative'
N=-- 9) 0.108
0.054-0.166
G. Mean
95% C1. PFHS Mean Range
G. Mean 95% C1. POAA Mean Range G. Mean 95% CLL PFOSAA Mean Range G. Mean 95% CL. Ms70 Mean Range G. Mean 95% C.L Mss6 Mean Range
0.102
0.082-0.127
0018 0.001-0.075
0.011 0.006-0.012
0.049 0.006-0.188
0.0316 0017-0054
0.002 0.001 -0.005
0.002 0.001-0.003
0.006 0.002-0.017
0.005 0.003 -0.007
0.002 00001-0007
0.114
0.080.148
0.016 0.004-0.052
0.012 0.009-0017
0.05 0.007-0.154
0.040 0.027-0.060
0.005 0.001 -0.020
0.003 0.002-0.005
0.031 0002-0454
0.008 0.005-0.013
0.019 0.001 -0307
0.165%
0.143-0.191
0.016 0.001 -0.034
0.011 0.006-0.023
0.095 0.021-0298
0.072 0.042-0.124
0.004 0.001-0.017
0.002 0.001-0.005
0.017 0.006 -0.046
0.014 0.009-0.022
0.005 0.001-0.016
0.103
0.081-0.129
0012 0.006-0.033
0010 0.007-0.015
0.037 0.017-0.063
0.033 0.025 -0.046
0.004 0.001 -0.006
0.003 0.002-0.005
0.005 0.001-0.009
0.004 0.002-0.006
0.003 0.001 -0.006
:
r eG9.e5%MeCa1n. -- r0m.0010.-000.100-- 3 0.0002.-00-- 04."006 meee 0.0-- s0020-1r04.007rae r 0.0002.-000.2003
(ac) comparisons for each current job category using student's t, p <.05 001364
AppendiAx
Decatur Plant Maps
APapgpeend1ix A
001365
5M DecatRuresAleab1a6ma9P7lant Layout
a
ad
a
ml Br AE EigD en] DeSnm
BE| Sl
Ea
= | |D
aaad No
5"B8E:"|
BInnEn, 077=9 Ee
E mrv p EE=oR lo Q iopREo]|.=
\
|
i(Er Ed
a=t 2) i " 3 BE CiYg
&
~
re 4
ww He!
L/h. wa)
Le i
3M Decatur Chemical Plant
oT i) Loi "--
TTT --
= HBE] aFe]get= oe 8 ; a oF
-
ON 3
ue = rr
i@
Ea
; BF ~
[ee]
Dyneon
%
i
Appendix B
Study Questionnaire
APapgpeend1ix B
001368
DECATUR EMPLOYEE QUESTIONNAIRE
APapgpeend2ix B
a`Tnhankinyotuheoarpppraorptriciiaptaetibnogx.in this research study. Please respond to each question with either a short answer or
NAVE.
1. Have youeverworked in the Chemical Plant? 1f ng, please goto question 2
EMPLOYEE NUMBER,
Yes O
No O
if yes'
a. How many years haveyou worked inthe chemical plant? Years=_______ b. Whatyeardid you start working in the chemical plant? Yea=r
2. Please indicateifyou have ever. workedinthe following areas. Mark an in all boxes thatapplyto you.
O suiding 1
0 Buildings 2 andlor 49 0 Building 3 (OSCLIOSF ares) C1 Building 3 (besides OSCLIOSF area) O sidin4g North 0 uiking 4 milloomvextruder
O suing 17
O Buildings 38 and/or 51
0 Building42 (Packaging FG inerts)
0 suiding 61
[J] Film Plant al buiklings)
1 Wast(euwialtdeirngtsr3e6atamnednt5p7l)ant
0 POtlheearse specify)
_
3. `Tahnisnwkeirngthaebofoultlotwhienjgoqbutehsattioynos.u workedfo thelonpegrioedosftitme while employed at 3M Decatur, please
a Jabiite;
b. When did you work there: From (_ year to,
(year)
Average number of hours per week on this job? Hours =
4 When you worked overtime, what was your usual ob assignment?
4. Please answer thefollowing questions regardingyour currentjob
Current plant: Chemical
Fim 0
Curent ob tte
What year did you start working in this current job: Year =
oer 0
001369
APpapgeend3ix B
`Average number of hours per week on this job: Hour=s When you work overtime, whatis your usual job assignment?
5. Please indicate in which area(s) you woriknyour current job. Mark an * in all bothxataepplysto you.
0 suidin1g
0 Buildings 38 andlo5r1
0 Buidings 2 andlor 49. 0 Bui3d(OiSCUnOSgF area)
0 Building 42 (Packaging FC inerls) 0 suiding s1
0 Buiding 3 (besides OSCLIOSF area) [J Fim Plant al buiklings)
0 Buiding 4 North 0 Bi4kmillioomyn extrg uder O suiting 17
[0 Was(tBeuwialtdienrgstr3o6atamnednt57p)lant 0 other
Clessospeaty
6. While at work, do youchew gum? O aways [OJ frequently [J sometimes (J rarely
[J never
7. While at work, do you chew tobacco? O a aways OJ requenty [J sometimes (J rarely
[J never
8. While at work, do you smoke cigarettes? Oavays O frequenty [J sometimes [J rarely
[J never
9. How frequently do you wash your hands before eating while at work? Markonly one box. O aways OJ frequently [J sometimes [J rarely [J never
10. What is yourheight? 11. Whatisyourweight
Feet= Inche=s Pound=s
001370
PAapgpeend1ix Appendix C DistrAimbuotniognCohfeFmliucoarlocEhmepmliocaylesesa(nNd T=he1i2r6)NaintutrhaelRLaongdTormanSsafmoprlmeation
001374
CRhaenmdiocmalSPalmapnlto PEOSpom
W 3
5TEfi
_|
maximum Qu1a0n0t.i0o%s
10.600
9997.55%%
10.600 7.187
quirile
200% 75.0%
3132 1.925
median 500% quartile 25.0%
1.140 0.440
100% 25%
00120125
minimum
05% 00%
0091 0091
Mean Moments. StdDev USptpdeErr9ro5r%MeMaenan NLower 95% Mean Sum Weights
11.65102427 01..17483960 1.2204 1260000 126.0000
`S`hTaopsitfroo-rWNiolrkmWaliTteyst 073439W9o P0r0o0b0e0w
APpapgeend2ix C
001372
ACemrnenraa,
i
IfmE
|]
]|: 1
j
win [wsS--Hrn.R u2n3e0e0 wie n BE mebo wRoaB FhwAE eaoinae wn 008 2006 YEiinfn ons oftureso fSreenatsNs osSoemamo
BTeoookommiaes nro"noaat
AppendiCx Page 3
001373
FGahnPodmFioScmalSpaPpmlmpanlte TM
wgJ
". L=i |
musi Qu1a0nt0t0o%s 995%
1188850000
qui
90705%% 750%
o17s36m5 04200
mqeduiaen 525000%% 00017780s0
21500%% 0000313347
minimum 0005%%
0000005ss
Mean Moments SiDev
o0a3i4r570
USptdpEerrr9o5r%MeMaenan
0004316776
LoNwer 955% Mean
1206.20702040
Sum Weights
126.0000
ShTaopsitrooWriNokrmWatTyest
072990W6 P0a03s0a0
APpapgeend4ix
001374
RCahnodmoicmalSaPmlpanlte In PFHS ppm T
JE JI ia
4i a
7} | .
maximum Qu1a0n0t.i0o%s 013
9979.55%5%
0056830123
quite 7250.00%%
01307 "08675
median 50.0%
17720
quite 215000%%
23.54406017
0255%%
43022 52269
minimum 0.0%
52269
Mean Moments SSttdd EDrervor Mean LUopwpeerr 9955%% MMeeaann NSum Weights
ams 01.21202859 11.94390976 112266.00000000
ShTaepsitrofo-rWiNlokrmWalTleyst 097528W3 P0r2o3b0e2
APapgpeend5ix C
001375
ChRoaPnmdiOocAmaSlapPpmlpalne
Bl]
:
7
31fle i,
"he
_-
[
)
maximum Qu1a0nt0i0o%s 6760
9979.355%% 6S7e6s0s
qurile 01500%% median 500%
23.04732050 13000
que 120500%% 0013288610
2055%%
000021048
minimum 00%
00208
Mean Moments Std Dev
1153336539
USipdpeErrr9o5r%MeMaenan Lower 955 Mean
0117171580 13007
NSum Weights
11226600000000
ShToastpoirrNoo-mWaiiTtelyskt 087536W6o P<r0o0b1e
APpapgeen6dix
001376
RCarnhdooaSsmulmsaapn
Ja
|.
4 i]
+1f8
5}
JJ
..
maximum Qu1a0n0ie%s 05%
1139111100
7050%% 1127331080
qmeduiaen 7S0500%% 0072268284
que 120500%% 220553510
2a5s%n rSeayo
minimum 00% Sacto
Mean Moments Sev
011205641s
SUippEerr9r5M%eaenan
oauitsst
Loxver 95% Mean Sum Weighs
12p60r000 1260000
ShTaopsitrooWriNkorWmTaat
ososWy ab<aomnl
AppendiCx Pag7e
001377vo
RCahnodmiocmalSaPmlapnlte PFOSAA ppm
w
.
us
.
w
3
wg
&
on
se
maximum Qu1a0n0t.i0e%s 026900
9979..55%% 001246991050
qurile 9750.00%% 000062383112
qmuerdiialne 2550.00%% 000000820786
21500%% 000000111122
minimum 0005%%
000000111122
Mean Moments SStdd DErervor Mean LUopwpeerr9955%% MMeeaann NSum Weights
000000023339536 0000310633 112266..00000000
ShaTpoisrtof-orWiNlokrmWaliTteyst 060078W9o P0r.0o00b0
APpapgeend8ix C
001378
RCahnomdiocmalSaPmlpalnet. In PFOSAR ppm 1s
BE
42
a
:
maximum Qu1a0n0t.i0o%s "13130
997.55%%
""1193018350
quale 970500%%
23577610219
mqeudailaen 5250.00%%
4588198146
21500%%
6677994444
minimum 00.50%%
6677994444
Mean Moments SSttdd EDrervor Mean ULpopweerr 9955%% MMeeaann NSum Weights
4L7a8s1932 40..5132000 1256..00308060 126.0000
`SThoasptirfoo-rWNilokmWnalTeyst 092952W7o P<r0o0b0a1w
APpapgeend9ix
001379
ChRaenmSdi7ocm0aSlaPmlpoaprnlse
,
5
.
u
.
:
w5gi
3
ug
EE
"
L
maximam Gu1a0nt0ie%s 099200
997953%% 006999210003
qurile 07500%% median 500%
001491652750 0068s
que 215000%% 000032717733
2053%% 000000894605
minimum 00% 000840
Moments
MSSetdaaDnneovrMean Upper 955Mean
00o.0111s5e602s5 01833
Lower 955%Mean
01176
NSum Weights
112266.00000000
ShTaopsitrooWriNlokmaWitTeyst 071285W3o P0r0o0b0a0w
Appendix
Page 10
001380
RCpahenmroieSyaprango Lig
=
a
li]
[i
mmm Qwulasornhtgs 0o00o80
que S0o5o8%n Soa5es70ws0
eadlne 33T0o00o%%r SSS0oo5m
minimum G02505%% pLprrr
Womens
Mean
25145
LSSiUitnddepeDrnreovs5r.5s%M%eacneann
2ip151tr11e7d6d67
SxumWeighs
f26i0r0e0d0
ShTaoptrtooriNoWrWmatTyeBonen
assis "oor
AppendiCx Page 11
001388%
`CRhaonmdiocmalSaPmlapnlto PFOSA pp
5
.
os
.
0
i)
-
-
5
ol
maximum quale mqeudaiialn minimum
Qu1a0n0t.i0e%s 9979.55%% 970500%% 520500%% 100% 0255%% 0.0%
006611220000 0.47948 000253612850 00.0010129659 000000015202 00..0000005500
Mean Moments Std Dev SUtpdpeErrr9or5%MeMaenan LNower 95% Mean Sum Weights
00.01611685 00104 00.00842132 126.0000 1260000
ShTaopsitrofo-rWNiolrkmWaliTteyst 056092W9o P0r.o00b0e0
APpapgeen1d2ix
001382
SCpaharmcav opmana ; a;2 iEE
I=E |
| =
N
mmm cmlusoeeos o01w0
oe aoSoosnn aadnemy
Ghanne 3soo0oxnn dsaamsm
minim s0250a% oTSooaoorr
vSeer aman a3s0siiso
JSUrippiEsr0rb5%teoaennatn
Sioosirseey
SuN mWeighs
123600000000
PTotcoNiomWaeoo
asi ooo
AppendiCx
Page 13
001383
RCanhdoo3mmaaSouplmralnto
wo
.
:
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,
wg
:
ws 4
wl
oT
w
L
meinen C5u1s0%t0o%s o04u06s00
quriie 07s500n%% 00oo15s51s06n0ss0
nfaelde 35l5o00o0%s% a0d0o0a03rs1s05s0
minimum 200550%%%
00000104s0 aii
SMeuaeny Moments 0oa0si3s
LUopSvpdeenrro99e55M%%eMMaenaann
00000005ssi
NSum Weighs
11226600000000
ShTaopsitroorWNiokrmWaliTteytProva
oss "000
APpapgeend1i4x C
001384
eCisresanem ii
3 aiE) [ J
F I
a4
masini I w00s% a aso
wie on 00i8 m aaee
w--n hoooxar adaimeo
minimum roG0eo8 o"poimmd
jSoer Vora 36Boer sn
aofiinst
LoxCovveero555k%ienn 13pS60i50t050
--
eon
S [e -- A anan
osartt eons
Hes AppendiCx
001385
APpapgeend1ix D Appendix D DistrAimbuotniogn FoiflFmluPloarnotchEemmpilcoayleseasn(dNTh=ei6r0)NaitnutrhaelRLaongdTormanSsafmoprlmaetion
001386
RanidmompSiamnple proesm
""
.
"
w= ffe :
a[
;
maxim PPnCosnwon o09b40i0
que aS70o3%x oo0amm0mees
wheaiem smoooonvr ooootneme
minimum a05s0s% QGGoooissr0
SViebner Womens SirenMen
aGGoilmiooss
jNUprpeerod5e5i%dNoannd
0p00i20e00d%
SomWeighs
Goo
Sh-- ape WH hn
oon oo
eos AppendiDx
001387
RLaFnnidPomrmPOlSSaanomopmle
wwp
5
ng
15
by.
35 F o rr
maim Qu0a0n0to%s 95%
000s5s5ss
qurie 0775050%%% "A22as1s9me7
umerdiain 520500%% 100%
22`7o40s01t2
minimum
0255%% 00%
Lsooles Zion
SMiedaDnev Moments 5a9a6r2on2
SUirdpeErno9n5%MeMaenan Lover 95% Mean
8P002r80a778t8
SNum Weighs
00000000000
StTaosptrfoorWNorWWmatTtiytProny or ods
APpapgeend3ix D
001388
RanFdilommPSlaanmtple PFHS ppm
wn
wm b
:
[CR |
i
w
maximom mqueadritialne quire minimum
Qu1a0n0t.i0e%s 9979..55%% 9750.00%% 2550.00%% 2150%0% 00.50%%
002211000000 00..0144666700 00002161690 000718 00.0000153615 00.0000113311
Mean Moments SSttdd EDrervor Mean LUopwpeerr9955%% MMeeaann SNum Weights
002258 000003309573 003053 5090.10406020 59.0000
ShTaepsitrofo-rWiNlokrmWaliTteyst 057807W9o P0r.o0b0e0w0
APpapgeend4ix D
001389
.
RaUFnnidPomFm SSpaanm5tpp le ;
1 shi am ISE
fi
=
a:4b I o
maximum Qu1a00n0t%o "15606
997955%% 2"L0eo8s
mqeduiain
725000%% 500%
e30266682 San
que 120300%% S"3e6ls
2o5s%% minimum 00%
sperm Sem
Mean Moments StDev
402965728500
USpipdeErro9r5M%eMaenan
o0l1o2s0s1
LoNwer95% Mean
5i5.s00i00n0
SumWeights
59.0000
SThalooWrpiNlsokimWatrtTyoost
oss:W Porosbasr
PAapgpeen5dix D
001390
RanFdiommSpaarmtple
TM
3
wg i
1 JB
a
[
w
N
maim Qu1a0ni0o%s 029800
9955%% 002257820000
qmeduiaen
07500%% 500%
00.1105840000 00ss20
que 215000%% 000012546000
minimum
2055%% 00%
00000056s018 000598
Mean Moments 007084
SSUtippEDererv9r5%MeMaenan
000006820070 008700
LoNver 95% Mean Sum Weighs
509000500i0 59.0000
SThafooWrpNIsoimattrTteyot
ose%Ws ab<a00n01
APapgpee6ndix
001391
R(Fan1idPmoOmPSlAaamnBpptle wp
20
EE
3 ET ent
35 "mg
1;
15 E
Es
5
5
maximum Qu1a0n0t.i0e%s 12107
99795.5%%
2"11300675
qurile 795000%% "2r2s27058
qmeudiaen 520500%% m289968
21500%% 6so037s7
minimum 0050%%
S1119933
Mean Moments SSideErvror Mean LoUpwpeerr 9955%%MMeeaann SNumWeights
300921039375 20718129915 5392.50809090 5900000
ShTaopisrtofoWriNokmWaiTteyst og1s2W3o p0r5o1b2a2w
Appendix D
Page 7
001392
RPaFRniGdomSmApSlaapmnotpmle om ws ws ws
oe
:
ws
wg
ww
tc
maim Qu0a0n0t%o 00s
9595%% 00%
r000e7s 000635
qmeduiaen nile
570500%% 250%
0000004807 oii
2f5ir%s 05%
rrea 000112
minimum 00% ooo
Moments
SMSeuaaEbnerro Mean Upper55%Mean
00G.0o00s003s79a27 precy
Lower95%Mean
0002s
N--
5559..00000000
ShTapoisrtofoWNiorkmWattTiys
osuesWs P0r0o0b0
APpapgee8ndiDx
001393
LnRPaFnFidOmoSmPSAlaaAmnptpplmo 3 5 " 1
55
ETE 3
5s
13
_
maximum Qu1a0nt0i0o%s 2754
999735%% Ssamss
que 07500%% median 500%
5S032973 Sms
qurile 215000%% "`5e7799444
0235%%
""6617090%4
minimum 00%
"67044
Mean Moments 5958s
SStidd DEemvorMean Upper55% Mean
008141707575 573751
LoNwer95% Mean Sum Weights
5691070903060 5900000
ShToastpfiorrNoo-mWaWliTtelysk osW P<oobol
APpapgeen9dix D
001394
RaFniSd7om0mbSpalpamnple
"
b
i
on
|.
mesimam Qu1a0n0ie%s 595%
00.4455440000
qurie
so0r05%% 750%
000245s109s3 00120
umerdiain 152005000%%% 00000000026359210
0255%% minimum 00%
000000101820 000080
Mean Moments SidDev
00005290014
USpipdeErro9r5M%eMaenan Lover 95%Mean
00000736s2 000199
SNum Weighs
"6000000000000
ShTaosptifooWriNokmaWttTeyst 0200W9o P000b00
AppendiDx Page 10
001395
ran
A: J
mm |
a7i
win amCvoeEer aanne nuee BR0omr29a8me
nn 03 0
amen
mYSA eeen,rmeeenn dSa iainem
3Yves
paemcet
BTeoosrieimttseTyraSoR
fps AppendiDx
001396
RaFnidlommPSlaamntple M556 ppm
os
w
3
us
m
us
on S--
maximum qmueidniialne quinile minimum
Qu1a0n0t.i0e%s 9979..55%% 2705.00%% 2550..00%% 100% 0255%% 0.0%
003300770000 00..1005549037 000250 000000225500 00.0000101217 000010 000010
Mean Moments SStiddEDrervor Mean LUopwpeerr 9955%% MMeeaann NSum Weights
0.00816 000003590382 000001280302 6600.0000000000
`STheasptirfoo-rWNiolrkmWaliTteyst 016226W6o P0r.o00b0e0
APpapgeen1d2ixD
001397
RanFdilommPSlaanmtple
Ln M56 pp
TF
3
Ffr-- a
+
.
+
.
in
maximum Qu1a0n0t.i0e%s 11809
99.5% 975%
"217.4181089
quire 2750.00%%
55.91921854
qmueidniialne
500% 250%
59915 59915
102.50%%
6876633326
minimum 00.50%%
9922110033
Mean Moments
Std Dev
SUtpdpeErrr9or5%MeMaenan
Lover N
95%
Mean
Sum Weights
509935079972 0.12367 56.6187385412 6600.0000000000
ShTaapsitrofo-rWiNlokmaWltTyest 068287W4 P<r0o0b0e1
APapgpeend1i3x D
001398
APpapgeend1ix Sc(aYttReSrpClHotEsMa)ndforregrreasnsdioonmesqaumaptlieon(snf=or1f2l6u)oaroncdhefomriccaulrsrebnyt jyoebarcsatweoorgrkieeds i(ncchhemeimciaclal
operators, engineer/lab, maintenance, supervisor/mgmt and mill operators)
001399
Th PFOSRpanpdmoBmySaYmRpSlCeHEM ns w fo Em
patio
" Somn 8ws s wa
PAapgpeen2 diEx
SoMuordecle EnCeTrou InTeormeept YRSCHEM
PFO=0SS.Lu8i9nm1de7ma8ra+o0Fiirf.tF0y4t7p8 YRpSCHmEM
RSRqquuuarree Adj
0.01.0100888078
MReoaont MoefaRnesSpqounasree Ector Observations (orSumWets)
11550248678566 126
oF1
A"nSuancloifSyVqasuraiimanssce 3511712
MesnSSqIuaTre
1r5.a0t06o0
121s4
228499719697664
233 P00w00r2
OSEsOiImTslEe 0P2oS0rW8aE6mm8e2rerEstiRma4at2le7s Pr<oO0b0l0]l 007029 0032 388 00
LOoAwTeErEdSST% 0023363
1Up3po0roiss 00n2ile
001400
aio aro
Page 3
one En
E
tn
oo
sar uid sS01ia e oooro ns vem scrEoJ m z
A ene t we
ooizgee
soshes
m orEee CLsUtRe SvEorSes
rn Tim
come was
Bam sem
faTSolml Cochfooftmse wSEugmmo'iTnn SsEiaatls eomatNn rmolomnwmns Ucurmhpumio
001401
POARanppdmom8,SaYnAgSlGeHEM
5
:
sw
-.
.
go
Lo
ESwL LLL
[ET Te en
-WET el . rel+ Sn wEowa sw
PApapgee4ndix
SEMoomudrercle Coal YInTRtoeSmrCceHpEt M
POAApP= LSu2Umn5oma43rao0ifr0t51Fyi899 YRSCHEM
RRSsRqoquoutarrMeeeaAndSquare Eror
0103012640763s34
OMbesaenrvoaftRioensspoonrsSeum Wet
1536217216
or| AMneaomfSVioaiorrisiasonce MemSSwime Furimo
11254 n213765s772848 175466 P0r0o7b9a4r
1Es9mu%o OPaSBruaEEmemStrerEtmRat7ao1os6 P<uobmll L0ow9er%s
ole 0010885 177 ooms oom
UTopepsioesrbnoess
001402
Ww PEOSRAaAndppommSBaymYpRlSeCHEM
w Z3 w C - h -- E eeS n r
SS wnwonms naw
Aopendi&x
Page 5
PFOS=SA0.u0nm3aA2am1r5aoF-dfru0F.yt0f0069pYRpSCHmEM
RRSsqquuaireeAd RootMeanSquareEr
oa0s03i7s3 003898
OMbesearnvoatfiRoensspo(norsSeum Wet
002322963
NSooduers or| AMsSsmoooSouvamromasnco Mem0s0w0amn aFrsuioo
EnCloorut 112s4 O01I9B57H09O3E6 0O0ISIS P0r0o0b3e
TIonemreept YRSCHEM
0E0oi2maie oPaSorGamEmemterEstPmaa6tl0oo4s P<ro0bl Loowoerdmst eUpponrdsw 0006 000M 219 00303 00013 Doone
001403
srasconRSarSgleE
ww d
w"i
-
Bef -L
HITwE f
So
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..
w J rEE er
Ta E
5d AppendiEx
NSTmpm= S1a7J 1m0a0n2F2at3 YRSCHEM
RRoRosgqsuureeenagSqr Ee NefRepos
Gcoooluremrrneisss Gist
Ctveaion oxSum Wis)
fi
EfSrorueeee Chow
m orTo Ad EnaRTloe fiyVascOriikansce we"atsooewss mies
pFSeoitme ive
TnRoeemceh
CEoosfmmSe doSPaoiorraeaanarCtitR7dem0sseamPooobmill GGlrooowsrwsssn aCUphcpmeooown
001404
ww prosxpoRmbayndo SamVpRlBeGHEM
wl
.
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g
Eg 7
:
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Page7 AppendiEx
PFO=SS00uA6Um73nm1daoo0rfF0ty0t04p3YRpSCHmEM
RoRRqoouwMueaeAndSquareError
Oo"mo1ioeer6sss
NOihcaenrovttReosnpoonrsSeum Wi)
Qosir2o6n
VSEooutrrece 1o4F| AMniamlOoGofoyoVatassmriisiaaznesce Mem"oC0Soiwoewseeas PoFrarasnto
Coal 135 Lo
Senn
YTRormSeCnHtEM
0E0w0a6 OPSDaurIatsmesetrserEsiRma4at3els3 P<obm LoGwrodsswn Uopppaearsoessw 00003 000093 04s oa oom omiea:
001405
w M555RappnmdomBySaVmRpSlCeHEM wo, -
PAapgpeen8diEx
Fog, . v..
= weuv tfJ : + JE EpA r AEACe EC EA
wa
SMooudrecle ErCrooar l Totemreept YRSCHEM
MSS=06 S.L0ui59nmd5em3ar-ao0Fi i.frt0Fy0i0tp59 YRpSCHmEM
RsRqquuuurreeAg
000.000901088
ROMobesoaetnrvoMafetRaieonnsSspquo(anorrseeSEurmrWoret)
00005713974116 126
OF1 A"Snum0o0soi0fS5Vq5auy7ra7ir7aesn6sce Mea0n0S0q5u3a7r8e r0a9t8o%
11s4 006677358220978117 0008638 P0r3o2b1o8r
0E0w9im5s2e 0P0SarU1aE0mM0eot6rerEsti(mFa5tael%se Pr<0o0b0lI L0o0w3e0r6s0s8%
000052 000055 099 03218 000176
0U0pp7o4rdss 00005854
001406
PGEhGaFSmaipncodamolmBOySpaYamrRpsSloCerHsEM mn
m
:
in
sw
.
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Em ee
w --_--
wee
EAE wCoRE REAL BE
PAapgpee9ndiEx
SMooudrecle [Caoal TIotmrcept YRSCHEM
PROSGipp=m 1SLui.mnema+ra4Fo0irf0tF3y1t3126YRS4CH6EM
RRSSqquuirreeAd Root Mean SquareEon
00003650640886 1237904
OMbesaenrovfaRieonssp(oonrsSeum Wt)
17811a06
ofi
ASnuamoloifSyVqasurimiasnsce 4439524
MeswnSaauere
2Fr6amio
a%s 6783935987289270 15241 P0r0o9b5a6r
LAEGsItSaSsL
PaSrWamEemterr 02081
Etm(aFtaelse 506
P<u0b0l0li
LoOswsearusass%s
OBIE 0019957 170 00956 000607
Ulpapeewrmoesr ores
001407
ChReamnicdaolmOSpaermaptloers wm PHS ppm By YRSCHEM
APapgpeend1i0x E
ee
:w| Le] Pos ons mos nox wo
MSooudrecle ECrTmoorul InTtoermcept YRSCHEM
'PFHSdip=p0m.1L4i8n1e3ar+0Fi.t0254YRSCHEM
RSquare Summary of Fit
0342256
RSquare Adj Root Mean SquareError
0.32764 0333897
`MOebasenrovfatRieosnpso(norseSum Wis)
0427751 a
OF AnSaluymsiosloSfqVuaraieasnce MoanSquare
1 4s
26105644 50169158
261056 01149
46
76274602
23F.R4a1t5i7o ProbsF <0001
0E1s4t8im1a2t9e 00253956
SPaWrEammoetrer Est(imRaateos Prob
007573 0005248
19 00562 484 <000l
0L0ow0e4r0d8s2% OOM48254
0U.p0p0e3r39955% 00359659
001408
PORGRhAaapmonimdcoalmBSOypaYemrAapStloOerHsEM
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on
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su
IB)
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wT
.
w S 8an sas
woo
PaAgpepe1n1diEx
SMaoudreclo EmCoorl InTeormcept YRSCHEM
POAAPP= 173n3e8+a7r0F.it04702YRSCHEM
RSquire SummaofrFyit RSquareAdj
0000799933576
RMoeoatnMoefRaensSpqounasree ror
21235412557048
Observations(or Sum Wats)
a
oF1
A"aSusmooiifSVqyauraiimasnsca 894563)
Me5m9S4a8e6
F49r6i5o0
a%s 981010054379630 150233 P0r0o3b0e9
LE7si3ma6to
ParSadmEemtoerr Esti(mRataeso 03067 571
P<roo0boll
Lowie2rS1s8%
000188 0G2Il0l 223 00X9 0064SIET
2U3p6p5er8o6s8k 0omSIS
001409
ChReamnicdaolmOSpaemraptloers PFOSAA ppm By YRSCHEM we
APpapgeend1i2x E
-1)
t=
Cosom woo sWs K
ws
Source Model CErmToorul InTtoermcept YRSCHEM
PFOSAAdfppm =0L.i0ne4a9r4Fi0t.00118 YRSCHEM
RSquare: `Summary of Fit
003628
RRoSoqtuaMreeaAndSjquareError
0014864 0057519
`MOebasenrvoaftiRoenssp(oonrsSeum Wats)
0036447 a
OF AnSaluysmiosfofSVqauriaasnce MeanSquare Ratio
1 45
000560458 0.14887811
0.005605 0003308
1.6940 Prob>F
46
0.15448269
0.1997
Estimate SPtarWaEmmeotrer Est(imRaatels Probsf| 0000409L4I0T2T8 00001030091094 133709 00.01090947
0L0o2w3or19852% 0002998
U00p7p5e62r3s3 00006442
001410
= uPiarnttasratregsoeon w
oo
:
.
gone ~~
ww em
I PE CT wa
ree 13 AppendiEx
pune
RRRooaMenn5e7e0apgpSmp=e0.ES3r02co4r4 -m0.0a50s666YRSCHEMSpogroriienodn
NreofvReeson
Sio0n
YSsooews
osroTo
R"ERsMoSTtviLmEssaRns dune
sUdmonmnee
eFSrunae
oa oo bi
Soon
TTThonmcheem
oCcioomtmoaoe
oPSuHimEiaSsEs3sH om se
pwooten
vobmorensne
uompaesreoessn
001411
PECGhSaFmAainocdmaolmOBSpyaemVrpAsliSreCsHEM mn
0
fq?
El
3
_
aw SS
w-os won
mda
8
AppendiEx
Page 14
PRO=0S.L1i2n3Ae9a1r-F0fi0t02o14Yp RSCm HEM
RSqure SummaofrFye RSquare Ad
00000213415675
MReoaontoMfeRaensSpqounasree Bor
00019391351539
Observaions (orSum Ws)
a
SMooudrecle
or|
A"SnumooaifSVqiauraimassnco 001843661
MeOaonissaiusrTe
1F6ra7iio
EnCooral 4is 0O76T756M61 00TSE 0P3i0ob7s1F
TInotemrcept YRSCHEM
0IEZsiSmIa0l5o Pa0rSa9GmEeM6toerrEstim(a4Rta1els3o P0r0o0b2l LGooweorsdse% Uapipomredsew 0002035 000067 103 03071 0006299 Oooz0es
001412
oT scCaRhaapnmodmoBmyCSpvaaamrptSolGreHsEM
Appendix
Page 15
go
.
2k :
on+Vi w5oan + Es s
MSS6fppm = 0S0u5r7m75moao0r.fF0y0t212YRSCHEM
RSRRqoquouatMrreeeaAnGSquare or
00a000rs3s4i7s8ss6
ObMsieeravnaotfiRoensspo(norseSum Wigs)
ogresas
SoVuirdcee! or1 AMSomOosorfiSVtaaaruaasnca Me0ms0wu1e F3r5a%
C--row ss o02z99s78 00si0 roerre
IYnTRcoSrmCeHetEM
mEstiTmate PacSrGoaEmlretoeerrEsti{maRStaeIsi P<oobomiil 0RUT ORS Am 00%
G0Lo0wor0sssnx aU0dp0p0es0r0s
001413
Pros[ EopranBay-- aviAaSporEM Im
AppendiEx
Page 16
0--
!i VI dese ww
PFOSAtppm = S0.u4m0Um4na4or6ya+ro0ir01t564YRSCHEM
RoRKoqotuvrieeaAndSquareBor
00010528703492063833
ObMsienrvoattiRoensspo(nosreSum Wet)
frie=n
SNoiuos or| Aa"sSQioofmmiVeoaiesasn|MemOoSmweassr F20r9a8
TBoaral 2a CSotEsssGrs 0307 b[re5we4r
YITRnoeSmrcehpEtm
oCuomia OGPaurkaEmnsetaer Es(tR3ao3is6s P0ob0lMl GLoownroossx Uopmpmeorroessw 00is8 Goons 173 Ooo Dood oor
001414
RaEnngdionmeeSraLmapble PEHS pom By YRSCHEM. TM w
2Z 0
a
w--
I.
:
ra'
oS wos mon on oB ow
wow
APpapgeend1i7x E
MSooudrecle. ErCrToorul TInotemrcept YRSCHEM
'PFHSdfppm = 0.L1i0n6o57ar+F0i.t00439 YRSCHEM
RSquire Summary of Ft
0065012
RRSoqoutaMreeaAndjSquare Error
0.002230047879
`ObMseearnvofatRieosnpso(norseSum Wats)
0.1709233
OF AnaSluysmiosfofSVqauriaasnce MeanSquare Ratio
1 21
00777620 11183544
00776 0053255
La6oz ProboF
2
11961164
02403
Esimalo PSardaEmmeotrer EstitmRaatioos Probl 000.01403635663% 0000701738613 112418 0012542053
L0o0w4e2r79056% 0003162
0U5p5p8er4s5s8k 0011935
001415
RaEnndgoinmoSaraimLpalbe TM POAA ppm By YRSCHEM
w
Ew -
JA
|
SS
wos a8 wo
NB
0
APapgpee1n6di&x
MSooduercle ErCrooru InTtoermcept YRSCHEM
POAApPM =0.3L4i9n07ea+rF0i.t00185YRSCHEM
RSquare SummaofrFyt
0002389
RRoqoutaMreeaAndSjquare Error
0050245571172
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037627E8d
OF AsnunaolioSfyqVursiiaeinscse MeanSausre
'
0138962 001389
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22
5588013798339568 0276378 P0r8o2b6o7F
03E4si9m0a6l9o
PaSrUaEmmeotrerEstimtaRtaleos 0163524 213
P0r0o4b7l
000IBS2 000869 022 0847
L0o00w9e0r094%6 -00ISM2
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001416
PFOSRAaREnndpopomnmeSBayanmRapsSleCrEM w
AppendiEx Page 19
.
Ba1 Vis ] Ea Ee won
PFOS=0SAL0uo1am7A8nm5aFodrft0F0yif002y7YRpSCHmEM
RqRRououtrMeeeaAndSquare ror
00"001005161s4274
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001417
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le
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BHie,m occmomee SsDHeEnmEE eERsEOBmEw gOeEs mspmre
001418
RaEnngdionmooSraiLmaphle PFOSA pom By YRSCHEM r)
a
.
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a
E wg
B
[=-- a
EEE REE wo
Arpapgeend2i1x E
SMooudrecle ErCrooarl InTteormcept YRSCHEM
PFOSAdfppm = 0.0L1i4n7e5ar+Fi0t.00015 YRSCHEM
Rquire `Summary of Fit
0007656
RRoqoutaMreeaAndSjquare Error
0.00.203304976
MOebasenrvoaftRieosnspo(norseSum Ws)
0016839
OF AnaSluymsoisiSofquVaarrieasnce MoanSqume
1
000008605 000086
F0.R1a6t2o0
221 000011112145040094 0000531 P0r6ob9osF
Estimate PSaWrEammeotrer EstitmRaatieos Prova 0000010417445895 00000007316639 024006 0060951243
L-o0w0e0r0dISS% 0000608
0U0p2p9o6r5o6s3k 0.0008998
001419
wo 558RaEgnondoanonmBsyaSraYimHapSnlCeHEM
nm
:
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wu
Fol
m7 JON
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Appendi&x
Page 22
ESVoiouorcle Crom TYoRSmrCeHptEM
MSS=0S60Lu1in8nmce8aar0n0Fylu0oF0ft0p1YRpSCHmEM
RRosRoqqtuuMareeeaAndjSquare Err
a0"0o00o0a07as476
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ois=s
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OaFli 2
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0000013 000031 003 0975: 009i
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001420
smaege
mrAppendiEx
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nt Eo
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wm
wm%FRatio
wm
001421
PHSRpaMonadmionmoBSnyaaYnmRcpSalCeHEM w
.
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wn
PAapgpee2n4diEx
SMooudreclo ECroou TIonemrcept YRSCHEM
PFH=0S S.L1ui2nm6Ao7+mara0oFi 0ifrt1Fyi1t9p4 YRpSCHmEM
RSRqquuaarreeAdj
00216719555022
RMoeoatnMoefRaensSpqounasree.Eror Observations (or Sum Wa)
00223174405958 i
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MemOSlauiaoe
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05 005451826545191717 0045838 P0r1o0b7o8F
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P0r1o0b7l
Lo0w0e7rSdE5R%
00LI%4 0006 170 01078 0008
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001422
RanMadionmteSnaanmcpela POAppm By YASCHEM BE] m _
g2 m mw AF wtCs
-- wos om o85 nse
APpapgeen2d5ix E
MSooudrecle ErCrToorul ITntoermcept YRSCHEM
POAApP = 1246Li5n1ea+r0Fi.t02555 YRSCHEM
RSquire SummaofrFyit
0.039706
RoRSoqtuaMreeanAdSjquare Error
10..30460659399
`OMbesaernvoaftRioenssp(oonrsSeum Wats)
Lag34ss 1
OF ASnumaolfofSyVqausraieianssce MeanSquare Ratio
91
106..16783743014
016769877034 P0r3o7b2o1F
10
16842135
05569
Esimale PaSrdaEmmootror EstitmRaatleos Probsll 0L0224565S5IL2L7 00506401586878 02262 0050556292
0L0ow2o1r89951% 0.069206
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001423
Pro[ mtrrm-- Sea t eu
srepeenaix
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w TTT we + Es
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aSiiossse %
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fTTronm e
oCcosowressse PcoSumoHmomEmasSs com43a08 bwoommyle Leloesreetsn umSpbpeseoeroms
001424
570RaVpnoamdionBmoySnaaYnmRcpSelCeHEM Ww fo _
EA --
w
w+$5 nhwowWa 8 a
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SMooudreclo ErCrooru TImoemrcept YRSCHEM
MS70ppm = 02S6Lu0i7nm6ema+ra0Fo.rif00Fyi0t79YRSCHEM
RRSSqquuiirreeAdj RootMeanSquare Eror
000.0110971479 0201468
OMbseearnvaotfiRoensspo(onsSeum Wets)
02680911
of1
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15 003366559304332319 0008 p0r5o0v2o8r
02E6s0i7r5a9t8e Pa0r0Sa8Wm2Ee4mt7arrEsti(maR3ta1esl0 POro0b8l LOowero9s%
0000706 0006295 O13 0028 00145
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001425
TE proRpsaemisasre i"
rscepesngis
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pect
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001426
= I [ a!--
AppendiEx Page 29
" _ i w=ee
l TTTear wo
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001427
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us
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APaogpee3n0di&x
SMooudrecle ErCooral TInotemrcept YRSCHEM
PROSdippm = 0.L2i6n8e8-a+rF0t10578 YRSCHEM
Rsqure SummaofrFyt 0197186
RRSoqoutuMreeaAndSjquareEror
203.64678021
ObMseearnvaotfiRoensspo(norsSeum Wet)
18790712
OF1 1n6v 2E6s8ti7m8at7e 0105769
ASunmoiosSfqVayuraimasnsce 29.0612496551 116416
SPaGrEammaotrerEsim(aRtaolso 0l20l5s63sS2 01928
Moa2mS0a1u4a6o F3R9a2t9i9o 56018 P0r0o6b4F9
P0ubmslml Lo2we8rd2S% 006 000733
2U3p1pe4r6o7s3s 02188905
001428
fJ rm
AppendiEx Page 31
br
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on e R t=te,er sSSiuiuesits BA porao J CEpREmSA eTnim OaEe EBomew,e ocfumtm oSESmgEEoREsWewE tm R iummsm ooumsme
001429
= PRSaonnsdo omsSaarra ege " "
FApepend
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POAApp Rsque
=03a08mn4e1en+ ro5s23
YRSCHEM osss
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sHSooueeco
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denememsm
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fTTronmee
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001430
SRuapnedrovmisSoarmopmlte PFOSAA ppm By YASCHEM TM TM
APpapgeend3i3x E
-wm Pos ows nono o8 ow wow
SoMoudrecle ErCrToorul InTtoermcept 'YRSCHEM
'PFOSAAdppm = 0.L0i0n5e9a5r+Fit0.00023 YRSCHEM
Rquire `Summary of Fit
0036993
RRSoqoutaMreeaAndjSquare Error
000102293227
MObesaenrvoaftRieonsspo(onrsSeum Wats)
001058168
OF AnalSyusmisofofSqVauraieasnce MeanSauare Ratio
161
00.0000021607237712
000000006073 P0r6o1b4s6F
1"
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0.4485
Estimate SPadrEammootror EstimtaRtaeiso. Probl 000000052426835 0000000626961 007889 0043484459
L0o0w0o8r196s4% 0000389
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001431
W MrSTinmivrahe.e
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F Ratio
memese
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001432
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Aopendix
Page 35
RqPuRrOSeAdam =SamL-aoru0os0i0t0P04833YR5SCH8EoMnan
RNRooeovnt eaaARndeSqugarse ror Ohiration tor Sum Wet)
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001433
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MSS6dppm = 0.L0i0n7ea+r0F.it00261 YRSCHEM
Rquire `SummaofrFiyt
0.105382
RoRSoqtuuMreeanAdSjquare Error
00.004894436692
MOebasenrvoaftiRoenssp(oonrsSeum Wats)
004168
OF1
ASnumaofloSfqyVuaasriiieanssce 001341369
Mes0n0S1q3u4a1r4e
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L-o0w0e9r99106l% 0001421
0U0p8p5e0r64o4s 00066428
001434
RMainldOopmeSraatmoprlse PFOS ppm By YRSCHEM TM m
)w DRE
ACA wo
Appendix E
Page 37
001435
RMainldOopmeSraatmoprlse PFHS ppmBy YRSCHEM Te
Eo wo, 1) eos
ws wow
wx
AppendiEx
Page 38
001436
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i. :Zim w TTT we
AppendiEx Page 39
001437
PFOSRAaAOndopomomrBySatmVpoAlSeCHEM py w w Ew
Ce wow e y
APpapge4ne0diEx
001438
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2
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AppendiEx Page41
001439
PFOSRAMainlppdOmpoeBmryaStaYomRrpSslCeHEM. I)
Em o " Bo B
vos own o8 on ET
APpapgeend4i2x E
001440
RaMinldOopmerSaatmoprsle M556 ppmBy YRSCHEM I) as ow aw
2m
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wo
Appendix E Page 43
001441
APpapgeend1ix F
AppendiFx
Scyatetaerrsplwootrskaenddirnegcrheesmsiicoanle(quYaRtiSoCnHs EfoMr)flfuororaollchreamnicdaolms s(anamtpulreal(nlo=g t1r2a6n)safonrdmfaotritonw)oby
current job cateogries (chemical operators and engineer/lab)
001442
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AppendiFx Page 2
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001443
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AppendiFx Page 3
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In PFHSdipp=m -L2i4n0e3a2rF+i0t.05366 YRSCHEM
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0L203027339 1752
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126
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001445
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001446
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wipe
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0"L.i20t50217i4712502t326
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124|
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1s
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Parameter Estimates 20E31s52ti05m39at66e ~~ 00SI0tSd0IE8Bm7So4Ir 1t15Ra45ti00o
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Page 6
.
001447
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Page 7
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an
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inM55R6anpdoommBSyamYpRlSeCHEM
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Rsquire `SummoafrFyit 0010236
RoRqouturMeeaAnSjquareError
0103062229574
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"379610236
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025%
Esimels PaSrdaEmmeotrerEsti(mFaatelso Pobsl 6003164459 000110899869 19-L5163 0<020906l
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001449
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AppendiFx
Page 9
1"
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320589163
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001450
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001451
PE[-- Co Chemical Operators
Foe ti AppendiFx
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In POMS = S031n0ao08u4rn5F01t132 YRSCHEM
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001452
In PCEhGReSamAnNidcpoaomlmSOpaBaymrpYgloRorSsCHEM TT
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AppendiFx Page 12
Tame Ped
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on Lee ee
t C508SCH a8 Ws
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InPFO=`SS4Uu.n3omA6amr7Foa9A-ifrF0ydt019f59YpRSpCHmEM
RRSeqquuairreeAdj RootMeanSquare ror
000.010286617 1603004
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001954 OUSI% 078 04408 007034
nUppeerovss ooo
001453
Random Sample Chemical Operators
Beg AppendiFx
JL ==
Hg p P ae R=S J. FE TIwo-E
sqnmSLo6Hmoaun0toP2vescrm ois
RNROeannoiemcoeansqsrErWeg
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001454
FandomSargla In PEChGeSmicpoam lOBpyerYatRoSrCsHEM
me. to
an
EE
wie +
EN
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and
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In Vn w8o a8 8+ s
Aeotpeandix
In PEO=SS-u3mn2mAa1er7ya4dr-o0F0i321p7 YRpSCmHEM
RRRoquouttrMeeeAangSquare Er
aoVo3u3asaisnsoin
MOebasenrvoaftiRoenspoornSeum Wat)
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001455
arco Sania
nuCshempiocmal OypeYraRtSorCsHEM
a wl
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fn
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oo
APaegpeen15dix
In Map =S2u7n7mo6m7uaorrf0.4y03141YRSCHEM
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GaTosaissiieszms
MObesaenrovaftRieonspoormeum Wig)
Sina
fSoCNouroroacwe:
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AnalofyVasriiansce
SumoSsfoSSshqsouoeamrsneets oPaSrEaammeetrer EaRumseass oo 47
MeanilSoaqunwarsne mFfaRenartreio Foaoooklbos oSLoawvrmsessx
oHUpepoesrmsssn
001456
mprre
AppendiFx Page 16
io0o
--
,
25 +
'
WS
Bepeee , InPFOSdfppm 0 cr SpuEm =-1.4007+0.03146YRSCHEM
LBptaN tn
Scpis2
B Bpm,oI onorT 0 ACnaE mEloRfyVamSsrEiiansce LE wrenn afoow
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001457
J pense
fT
BITE id
.
.
AppendiFx Page 17
rBoe 2r2r rmse
EREte
u2n
co oEmRIeEn
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=
iBE.o,m afcioomne B0-- EmEEESROEeRma i SmEeR muSp
001458
prs-- roee
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ano W--E sJom
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001459
RandomSample
AppendiFx
Page 19
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1
Ban,
Fal
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am + 5 i +
.
rEooeEnerEoS s eeenr esr. oomhy
A etme
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001460
RaEnngdionmaoSraLmapble LnM570ppm By YRSCHEM
"
:
wf
:
APpapgeend2i0x F
wn
:
sn ee] tS mBo oBos uo8 st
SMooudrecle. ErCrToorul TInotemrcept YRSCHEM
In5=7-3.L00i5n98ep+ar0Fp.i0t0m297 YRSCHEM
Rquire `SummoafrFiyt
0.002026
RoRSoqtuaMreeaAndSjquareError
0901.50643575
Mean ofResponse Observations (or Sum Wes)
20161223
DF ASnumaofloSfqyVuasarriieasnsco MeanSquae FRatio
21
107..063056724179 0008335870417 P0r0o4b2o6F
2
17641966
0.8384
Estmele PaSruamEemtoerrEsti(maRtaeso Probsf 03000520776329 0002184448092 1007214 0<8030804
3L6o5we2r09551% 0026977
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001461
RaEnngdionmeSoarmipable InPFOSA ppm ByVRSCHEM
mq"
.
ot
an
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:
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an Cosmos non 88 wo
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SMooudrecle EnCToorul
In PROSAfppm =L5i.n5e2a0r2F+it0.00865 YRSCHEM
Rsquire SummaofrFyt
0004124
RoRoqturMeeaAndSjquare Etor
1806.40644383
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53932253
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211
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07710
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001462
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frig AppendiFx
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.
w+n
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pred
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001463
APapgpeend1ix G
AppendiGx
Scatterplots and regression equations for fluorochemicals chemical(YRSCHEM) for all chemical participants (n = 187) for
by years worked in current job categories
(cell
operators, chemical operators, engincer/lab, maintenance, mill operators and supervisor/mgmt)
001464
= er-- ode ev
ns
:
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Eq nhl
PAapgpeen2 diGx
Ta wn
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001465
TM PEHSAlpPpamrBiycpVaAnStsCHEM
APapgpeen3 dix
3En Ltepn 1. 0h, wn r HA e ihe
CS nswoansaow
SMooudrecle ECoorl TInoemrcept YRSCHEM
PFH= 0SS.1Lu2i4m6da3m+raF0ofif0rt1Fyi5tp54YRpSCHmEM
RRsSqquuurreeAd
00220160588617
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0033427182416
Observations (or Sum Ws)
15
OF1
ASnuamoliofSyVuasarimiasnsco MemmSauws s9%0711 S871
4Ro.aasoe
115556 228338645416734 ORI P<roo0v0o1r
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P0u0b0sllzl
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001547 000268 705 <oMl 001603
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001466
POApMarians
PAopepedndi6x
g ESN udoPE
wm ww
Le
gs
1"
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Cni
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001467
w rosAirpnurcsoymhnsscren w Zi w I. Cb T raS a n a aw
wo
reespens
noses
[PFOSAAfppm
KRqiuirse ag
Sona = 0.03463
Roe an SeEo
iF-0.00084
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omewn
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EfSCromulreocwe. DaIFTS `SumOoofmxSEqeuNarnSes MeaMon eSeqtuasare bPFfReaerteio
VTJRousmcikem
aafoommcme
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001468
= wordAspacase " = " on TO i EA
wou
AppenGd
Page 6
spp Re
=
0E16s8Ra5r60eE267vRSCHEM comin
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001469
rosl_ias--
Page 7
:
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oo
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Sa rseoeenSe
ososwoaessoetss
I
7
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001470
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gon
w ="
vo JH| Do = rr Su oEaun saw
AppendiGx Page 8
SVoiudre!o EnCeorat ITnoermcept YRSCHEM
MSS=0S605u4mn8de]mar-ao0iirf.tF0y0t0o53 YRpSCHmEM
Rsqure
0007159
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0.001763
ORbMoseeoartvnaoMtefiaRonenSssqpouonarsreSeEurmroWret
r0.0o7108264
or|
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001471
rrses
mesi
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.
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.
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a i"
001472
CAolllPOarpteircaitpaonrtss PEHS pom By YRSCHEM TM
APpapgeend1i0x G
3En
<
.
.
wm LE E = E I so
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"PFHSdfppm = 0.L0i6n7o3ar+F0i.t05293 YRSCHEM
RSquire `SummoafrFiyt
0573083
RRoSoqtuaMreeanAdSjquare Error
0512095 0.464481
MOebasenrvoaftRioensspo(norseS:um Wgts)
09266119
OF ASnumaofloSfqyVuasarriieasnsce MeanSquare Ratio
1 7
2105017021593835
0220151754 P9r.o3b9o6F
3
35374519
00182
Esimalo ParSadmEemtrorEsti(maRtaeso Probl
006734 0052932
0359316 007268
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001473
AtPartcpants IF] POACoplplmOpBeyraYtRorSsCHEM
7 "
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.
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POAAppm = 025L7i9n4ea+rF0i.t08268YRSCHEM
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023489
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0508304811193
OMbesearnvoatfiRoenssp(oonrsSeum Wgts)
18105556
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AnalofyVasriiansce
OF71 Sum of46S79q34u46a06r43e23s Mean04S99q64u26a06r13e
8
11680674
TInotemrcept YRSCHEM
ParaEmsetitmearloEstimateSsWEmor tRaio 00022567893453 00073568416437 202314
PF5r.Roa4tv2io0o oos77 P0r7o4b%l 00577
APapgpeen11diGx
001474
AClolllPaOrpteircaiptaonrtss.. PFOSAA ppm By YRSCHEM ws
APpapgeend1i2x G
-w [EE we
PFOSA=A0.0Ldi3n0ef3a1r-Fpi0t.p001m12 YRSCHEM
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`Summaroyf Fit
0418421
RRSoqoutaMreeaAndjSquare Error
0335339 0013461
`MeanofResponse: `Observations (or Sum Wis)
0009223 9
MSooudrecle Emor
C Toul
OF AnaSluymsoisfSofquVaarrieasnce MeanSquaie
71
000000102961824549 00000000198113
8
000218103
InTtoerrncept YRSCHEM
ParEasmteitmaetreEstimaSteWsEmor tRato
00303118 0010413 0001123 00005
291 224
5.R0a3t6i2o P0r.o0b59>7F P0r0o2b2l]6 00597
001475
ACalllPaOrptoircaitpoarnst.s M570 ppm By YASCHEM 3
us
Eo
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us
N= .
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Rquire `Summary of Fit
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0292260 0.040686
MeanofResponse Observations (or Sum Wgts)
0.044833
OF AnSaluymsoisfSofquVaarraensco MeanSquare F Ratio
71
000010175182747326
0007124 0001655
43037 ProbsF
8
001871208
0.0767
Estimate PSadrEammeotrer EstRimaatoes Probsll
01037558 0003138
0000301I4S7I43
230370 0000176372
Lo0w0e2r99353% 0006715
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001476
All Participants.
AppendiGx Page 14
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001477
An partpans 0 sssCelrlsOpBeyraYtRorEsC.HEM
w No
nn
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001478
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in
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sa
.
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w+Vw woRu ad ss
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Page 16
PROSUfp=m LS4uSU1mn0o5m4aaro0iri03y765 YRSCHEM
RRsoRqoquutirMreeeaAngSquare ror
a00osmssss9e6 125103
OMbiseearnvoafiRoensspoornsSeum Wits)
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JCoym a@ 105474003142755 Is6s08 oProoar
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001479
= P i apr r ap
srepyendix
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frSriaionened
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&
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ombwonense
pompeeorronae
001480
PORGNrAopmoipcmaarBCycppoSaaAniSosCrHsEM
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Aopendix
Page 18
POAApPM = S7L1ui4n5me6ma+r0aoF0rft4Fy6t74YRSCHEM
RRSRSqooutrMeeaAndSjquare Eror
0010.2806710399088337
OMbesaenrvoaftRieosnpso(nosrSeum Wes)
215623a4
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of| ASunmoslo1fS1Vu5ya5mr6mn6ss6co MemsSswass R7a0o3 a 555717 1629 promr
Crow @ 13s
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001481
= erCorSaaPnmermhooyrn wd. i, Lot "
TT wo S
AppendiGx Page19
RPoRqOuSeAAdfpm 0-- 08e55a-- 1r000136YRSCHoEoMsass
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SEoornr
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on
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pwdounmo
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001482
ChAemlicPaarltiOcpiepranattsors Ts MS70 pom By YASCHEM
w
w
Lsw
2w
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'MS=70.3L07i2n6ep6-ar0pF.i0t0m856 YRSCHEM
Rquire Summaroyf Ft
0031978
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00403116430644
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028442 Pl
OF `'ASnumaooflfSqVyuaarsiraeinscse MeanSqua
1
0381171 038171
F2.a048l1
a
1111951398987032
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Lo0w2s0r899159% 0020525
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001483
_ Chemical Operators
ow
.
:
AppendiGx Page21
Be moghoaEoemrsnermEa oESE=VsEErEE nwam~Cmaymmom wm Source
OF
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Mean Square
F Ratio
001484
w oom T y
mrAppendiGx
.
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ow x
Fat
corre
mSEsqemE,t eyt o sooommueses M55 =0.6 0970d 3-0f .002p 22YRp SCHm EM
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"
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OF
umSemmmEmeR Sum of Squares. w"nEma Mean Square
aioluF Ratio
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001485
tome
"
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oEBoemmC,E Hb-Fe RootMean SquareError
0.504597
mem EEE mp me umm
001486
PEASpEtrnpooanhnoBceyprHainSainCsHEM TM w "
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wo --
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AppendiGx Page 24
PFH=S0.U08U0n5pg6a+Fp0it.0m0441 YRSCHEM
RsRqquuraeeAdj Summa oft 00009615992749
RMoeoanoMfaRnesSpqounarseeEr Oervaion or Sum Wigs)
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YRSCHEM
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001487
POAAAGlEDnPmgaiBrnyiccoiYrpLaAnaStbsCHEM IF i Ww
Bo
Emo
29 {= on C Hh rs m t ns Nsw
woo
rAapgpee2n5dix
MSoodurecle ErCroorl ITntoermcept YRSCHEM
'POAApp = 030L3i4ne4a+rF0i.t00257YRSCHEM
Rquure SummaorfFyi
0005873
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000.245205932
MOebasenrvoaftRieosnp(oonrsSe:um Wgts)
03427635
OF ASnumaolioSfyVqausraiieasnsce MeanSquae
1
00420387 0020
FER02a0i6o8
336s
77.11115685540893 0203329 P0r6o52o1f
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001488
PEOSAAREPoanrmgircBypaaVmnRsSCHEM
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wt
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RsMRqeooautnrMoeefsARneqsSpqounasree Bor
od"oos0l0eiszss
Observation orSamWi)
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ori A"nSOiwaocfmiVtaosrcasasrca MemGSOwNwEs 3 oom: Ooms
pFbastso
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031
YITRnoSemCrHtEM
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001489
L Actpoucnr oasns
w-=
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2wdl.
.:
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AppendiGx Page27
RsMquse p =0f06nre0a0ra16RSCHEMcoos
RNReomooeilaRegSsuose Er CraiontoSum Wit
Sc"oSoonasrsiess S
sBSoooureee
o3rTO
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voMseoUmasmne
mGFheruentee
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than
es
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001490
aproerscahoemss
sppeon
wt
.
wr --_ wo -- oo Ere
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Ho[0reyae we
sa porsz
=s o2s orISr Ae CnaESilofe EAyV=asrSTiiansce
wTeupimm
rome oomt
rTromlhe Gorhofgn SNsEOMTRrEoER MS p vFrN rlo%nmme sedwpeEns
001491
ssAEprPonmurBgy pevaAnnSsCHEM 3
fu.
Be
Pe
" C~rI wanW s= aS e
APapgpee2n9diGx
MsS=060S5u1U3mnd1omaa0roi0irfF0y0Up49YRpSCHmEM
MRReoSRqoqauutnaMureeeaARendsSpqounasree rox
o000.00a05116r342389s5443
Observations (or Sum Wet)
E]
VSiorle ofi ASunmoooaooifiSVoiaeirniassinca |Me0m0S0miashe F0r4a7t7
ErCoorw 56 oOwBaIsT 00031 Porsest
TIYnoRSemCrHtEM
oEiumswa PuSoraWomoEltrCaiMna2el2se2 P00b% LGoowreossk oUpdpoerrossw 0004S OOS 069 049% 0001 oowmes
001492
ProsAbNioapmaatnBciypnyacRnisSsCHEM
w=
2
w CZ
igw. 1;
ws
.
HEwR a AE CArC ar
Appendix
Page 30
PFO=LSS03uU9mn0Ae5maa0ro0iirl7y69p5 YRpSCHmEM
RRooRoqqtuuMrieeaAndSquareEr
0o122xs0s3ei1s0ne4
ObMsiearvnaotfiRoensp(oonrsSeumWits)
jE7
Ansof Vyarsa
fSErourerce Coat
iOissFI SumTo52ofwsS6thquii1asr%sest. lToaks Mean Square rGFhoReaartsrimos.
YTRorSmCeHpEM
LEoowuonitse oPaSrkuaEmavetoerEsi\mRa2st6lo3es P0ob0ol3l OLowwewrsns% Uepepemresns ome OBS 27 ols ooloTs oisie:
001493
AMlaiPnarttoincainpcaen'ts PEHS pom By YRSCHEM TM
APpapgeend3i1x
w _ Sos on o] wo os ws os wo
MSooduercle ECTmoourl ITnotmercept YRSCHEM
PFHSdfppm = 0.L0i7n2e57ar+Fi0t.02482 YRSCHEM
Rquire SummaofrFyit
0551529
RRSoqoutiMreeaAndSjquare Error
00522417603515
MOebsaenrvaotfRioensspoonrseSum Wats)
030905n3
OF ASnumaolioSfyqVausraiwiasnsce MesnSquae
1s1
019.1125559435537
112594 006104
i
20414810
F1R8a.4t4i7o0 ProbsF 0.0006
Esimale ParSaUmEemtoorr EstitmRaatloos Probsll 0000274285166652 00000B7I7386 4032899 00.30806066
0L1o0wo0r89852% 002501
Up0p2e4r609154%5 0037132
001494
EyiE m
Appendix Page 32
; -
oronvsporsgSpoms _
BEFhiE. RSquareAdj
7oyE0.169404
for rEEe
ne
on ww T spE re mn mi mm
001495
-- oes
oy AppendiGx
mq mq"
TaEon ol
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win
Hrruseyeo5s5%aossssescnSsJannz SEoTmme Be5 BgBoEs40or CyeEmmRvmEmreS emmeem cmoeu ERomm a oCchoSomme DnSciEmanE mneSEooRmyl oommneer tSwhnmeeas
001496
1570AVptoapmrairBainycaYonHacnSssCHEM we. "
I.
fof --.
wT
:
wm
TT
"w+Vi w8oadn as
PaApgpee3n4di6x
MS70ppm =02`1S0L6un8moa+mr0oaF0far0F2y173YRSCHEM
RoRRoqqutuubreieeAndjSquare ror
o0a0l3oe34ss3
OMbesearnvoafiRoenspoonrsSeum Wits)
023670w6v
SoMuordcee or| A"nSaOuoyfmovsaariiasnsce Mem0S0aass 0Fru4io
ECmorw 1165 o0ss4sseSor oom Parosoomr
TInonmere YRSCHEM
02S1s0i6m2s6e Pa0rSa0GmEemStoerrEsm(aFt3ao8ls0e P0r0o0b1l Looowmreossrsk oUppmaroesw 0079 oom 06 0am 000s oom
001497
ProSAAMtpaaDorrmbtacypnaYraatSsCHEM oT "
$i
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OD
----
ow S - o w8oau s
PRO=S0S.u0AG5nm9a5am1dra+Fo0trf.Ff0y0t06p9 YRpSCHmEM
RRoSRqoqutuaMrreeaAndjSquare ror
o2100609680901s7
ObMscearnvaotfiRoensspo(norsSeumWis)
00ssoswsv
Ansof Vyarasnco
ESSnCoiuororaorc!we
D1F1s5|
`Sumo0of3Soq6ua0or0es 033750082
00002 MeanSquare
Tomrept
[ oCmaemars--oSWbErior R1a20
YRSCHEM
O01 00004 020
pFoRawotrimo fre P0ro3b0] osaes
Appendix
Page35
001498
AlMlaPianrttiecniapnanctes. M56 ppmBy YRSCHEM 5)
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-
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2 ma
| -- vos moo a 8s 85 nS
APpapgeen3d6ix
MSooduerlce Error Cou InTteormcept YRSCHEM
'MSS6dippm = 0L.i0n7e8a14rF+it0.001 YRSCHEM
RSquure
`SummoafrFiyt
0011725
RRoSoqtuaMreeaAndjSquare Error
0-.010051461566
ObMseearnvoaftiRoensspo(onrsSeum Wats)
0.0877 1"
OF AnaSluymsoisfSofquVaarrieasnce MeanSquare Ratio
1s1
00.0105158030899788
00001001383349 P0r.o7b8oF0
16
0.15684876.
06791
Estimate PaSrWaEmmeotrer Esti{mRaatteiso Probsli 0000071801042296 00000323347874 203432 0060739315
Lower95% 000000647076355
U01p4p9e51r1s8 0.0060704
001499
POASSbtlopmpoanriBtyscoYpraHanSsmGtHEM 0
ne
w
fe
Ein ws
:
= pl
w Vinuswonad= s+ de
PAapgpee3n7diGx
PFO=`0S.S-- 3u1m84mi+oaf0r.Fp 0yi9.4 YpRSCmHEM
RRRSosqoquturMreseaAnlS)qureError
00.116s1u0s2s9s 2073295
OMbseearvnaotfiRoensspo(norsSeum Wt)
imat2e
SMooduerls
OFi
ASirmooiifSVsauraiaesnce 2452678
MesSnSurme
rsoaoon
ECnToorul zxs 112063016950206 9% pora
Tomret YRSCHEM
NEDviEa 0PS9air0Ea6mre0ot6rerEsti(m0aRt2ee4sl P0ro8bl6] 000% 003038 241 om
L2oowswro3n5s% oon
rUpepsariossw Orns
001500
E15StAppaorPmavriBtsycoYirpHhaniGtgsnHtEM TM
Appendix
Page 38
En
.
w Sinn Eond de wow
TIonrmcept YRSCHEM
SaMuodreclo EmCoTorul
PRH=S0.S0Lu4di4m3a6mri+aoF0if0rtf1Fyi6t6p3YRpSCHmEM
RRSSqquuirree Adj RootMean SquareError
ooulsssiolnlts 037828
MeObasnerovaftRioenssp(oonrsSeum Wits)
0369124
oF| A"Snumo0osi7fS7Vq5ayur9ai7mas5snce MeoTmSen RSaasool
22 231443434969 01100 P00r2o8f3
ODEMsStSaItSe 0SP1aWr6aE5mme7tr3er Esti(mFa0at2els7e POub7l6i L0o%wseraodss%
00l629 0007123 233 00m 0018s
Uopmpeerrs 003d
001501
SuAlplePravritiscoirpaMngtms! POAA ppm By YRSCHEM TM
APapgpeend3i9x G
wm
Zw
7
m.
=
"
I
EEEEREEE so
MSooudrecle. ErCrToorul InTtoermcept YRSCHEM
POAApp=m 0Li.ne1+ar70F.i80t573562 YRSCHEM
RSquire `Summaroyf Fit
0.193600
RSquireAdj Root Mean Square Error
01.118680201089
MOebasenrvoaftRioensspo(onrsSeum Wats)
12894 2
OF ASnumaolfoSfyqVausraieiasnsce MeanSquare FRatio
21
383..068560983050 810480023870 P5r7ob6o2F
2
41737735
0.0245
Esimalo ParSaWmEemtorer Esti(mRaatteiso Probl O00I5T385621487 000521279689 023450 0007234259
L0o8we8r99659% 0007505
1U2p4p7e2r29051% 00995444
001502
ASulpePnairstocirpuaingtsmt PEOSAA ppmBy YRSCHEM Tw
w
i wm -- .
"
Foo
SSB as wos ow ws
AppendiGx Page40
MSooudrecle Error CToul InTtoermcept YRSCHEM
'PFO=S0L.i0An0e5a6A4rF+i0td.00f016pYRSpCHmEM
RSquare SummaofrFyit
0023751
RRSoqoutarMeeaAndSjquareError
0-001011460983
`OMbseearnvoaftiRoensspo(norseS:um Wgts)
0.009045 2
OF A'nSuamolofSfyqVuasarriieasnsce MeanSquare Ratio
1 2
000007599 000312335
0000076 0000130
0.5839 Prob>F
2
000319934
04522
Estimate PSaWraEmmeotror EstimtaRtaeiso Probsf
00056392 0000641
0O0G87 0002IS
LI3 02693 076 0452
Lowor95% 0.00465 0000279
0U0p1p5o9r391s9t 0.006075
001503
ASulpePnairsicoirpaaMngtsmt M570 pom By YRSCHEM w
"
:
APpapgeen4d1ixG
'oe EtE r EpEtEE nso
SMooudrecle ECmToorul TInotemrcept YRSCHEM
MS70ppm = 0.0L3i7n2e8a+r0F.it00349 YRSCHEM
RSquire `SummoafrFiyt
0.081466
RoRSoqtuaMreeaAndSjquare Error
00.014237129054
MOebasenrvoaftiRoensspo(onrsSeum Wyss)
0.1097288
OF AnSuamlooffySVaqsruiaiasnsce MeanSquae FRatio
21
000338484344394661
00001364148413 P2r.o1b2o8F6
2
042279307
01575
Estimate PSadraEmmeotrerEstimtaRatlelso Probsll
002783 00034945
00000525369059
016476 0O510S970S
0L0ow7e7r4S9S3% 0001449
U0p.p15e2r09455%2 00084378
001504
au parcpants w PEOSSuApperovmisBoyrYsRMBgmOtHEM
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g
.
SI
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APapgpee4n2diGx
SoMoudrecle ErCToorut TIontmercept YRSCHEM
PRO=S0SU0un1Ao6ma5mrd+aof0ifrt0fFy0i33p3YRpSCHmEM
RRSSqquurreeAlj RootMeanSqure Error
0o0o3s67s533 0126700
MOebsaernvaotfioRnesp(oonrseSum Wet)
00522627
oF| A"Sru0mo0ofi3aVSa0rq0iasa8snce Me0m0S3a3u0e R19a5o3
22 0O41I663E639 00ST P0r1o7v5o0F
0E0s1r63a 0SPaUr0aEmsomtrEstiPm0aa3tle1os P0o7bo6l5l 0Lo1we3rs%sn
000M) 0003 La 01S 0008
OUopoprearnesss Ooomass
001505
7 ueSAaFPoounrtcvaunens e
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Page 43
i 4 w_
.
.
wo E +rEwE n EEE
Rqureitm = 0p0n0re6u7err0e0a0235YRSCHEaMsoi007
RNRoeoqaouioefeARedsSpqrEee Cheon orSum Wig)
SGSooeoriroasant =
EsSrourrs
oBroTo
S"maMaaofriovtnasanee Olnues
MeomoSowmuwme
mhFeoresmieea
Croat no bee
fir
TVTaRosmmcehsEm
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oE[ mnr -- UoiRs Omi Lei
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001506
TM PrOSai1pPrOarbpyipuvaAsnSsorEM
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AppendiGx
Page 44
001507
Aparicpans rvsMpilolmOpbeyravtioSrsOrHEM
En
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AppendiGx
Page 45
001508
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, " TT we 7 7.
ie AppendiGx
001509
AMiPlaOrpiecriaptaonrtss PEOSAA ppm ByYASCHEM 3 " w
wn
I:w
BN HEE EEE
sta
PaAgpepe4n7dix
001510
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ow -mn -
Cos om oo8 ow 8 wo
APapgpeen4d8ix G
001511
CsEeers
go :
iv AppendiGx
001512
ssaAioutpmapnBaycpiYarRntsSsCHEM I "
5 m " v3 ww 7 +
AppendiGx Page 50
001513
Appendix H
Page 1
Appendix H Scyaetatresrpwloortskeadndinrecghreemsisciaoln e(qYuRatSiConHsEfMo)r fflouroarlolcchheemmiiccaalls (pnaarttuircailpalnotgs t(rna=nsf1o8r7m)aatinodn)fobry
two current job categories (chemcial operators and engineer/lab)
001514
:
1PEOAS PppmariBcy pYaAnsSCHEM -
i: NE
J
a
Lal
= oN
qn,
i.
3
.
J
an SINE ns sw
won
PAapgpee2ndi1x
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RRSSRqoquotauMreeaAngSquce Error
00009983310748 1002959
OMbesaenrvoaftRioensspo(onrsSeum Wet)
"013112873
SMoouders oF1 ASunm2o0aio2fSV5qai9ru6iea8ssnce Me0m259e7 2F01a40o3
CETmorut 118865 2016836059660378 10059 P<ro0o0m1F
ITYnoeRrmSiCeHptEM
aEsti0mate 0SPa0ur9aEm9me1trer EstRim4aate5ls P<o00s0il Loowreors905e% Upapsosrosrssw mes 0006 44D <0 oolewss o00irass
001515
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m
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RSRqSuqaurreeAd
00222262328075
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Lissoi3osnss 187
oF1
A"nSaumloofiyVSaswrieiasnsco Trent
MemTSaGuaAre
54F1R3a7i6o
1h85
2Sl2e4d5s1s4i1l0
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001516
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EE
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0 17
ECAAEC ACEC A woo
PAapgpee4ndiHx
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InPOAAppTM = 0L.i3n2e8a9r+F0i.t00943 YRSCHEM
Rsquire `SummaofrFyit 0006732
RRoqouturMeeaAnSjquare Eror Mean ofResponse
01020911386832 "021266
Observations (or Sum Wt)
15
OF1 118856 03E2s8i5m4s3s 0009318
A"SnunocsfiVSayqruieasnsce 3082705077625 3108503
PaSrUaEmmeotrerEstim(aRtaelso 0O0L02A3 213142
Mean2Sq0uwme P12a5o% 66896 p0r2o6v8e3r
0Pro0bsmll 0Lo6we1rS3S% 02643 000718
0Up0p5e1ro0s7k 00260493
001517
--
AppendiHx Page 5
mE
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aad
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FETHh, TER
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001518
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001519
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am J
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001520
rio
= AppendiHx
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001521
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p0 -- 5aThose
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001522
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AppendiHx Page 10
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001523
melsral nesanso
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+
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or 8a
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ocScaoueoe
fTaam s COoSBsoIemEre wSEaHumEEanNnERarET1nR bommyMe wSlegEmLnE uoUmpuossn
001524
JCrraaePmaenimcptsuinysa,iWoE
1
| Je
|
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=
afer Te
wor
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In PRO=SSJ 008A00d2268fYRsm crEM
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oSYoooimcsmiorsmye ey
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Coat Ee
es
TTsanm he
dmEorm6mia
dSPaouanrmosotr EsUnmRhSe baob ome Tol ones
LSaoweresssnx
opppoernessn
001525
1 res mm
__InBMyYSAS7 CHE0M ppm
1
2 1]
5
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OR re 5Di, rine Sooe oe eEEeE LL
i. rt EEE wer om
AppendiHx Page 13
001526
ner earogonSnen
-
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AppendiHx Page 14
IF
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:
sod, Lo
In
wo ~
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osreo MUgRoraRrvncInss eMnem eGnme
fBToamcehi oSCnoammEne RGSpSmuErEs1TDesROrdoTmt aaommmoeess uoupmnoen
001527
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i Lo.
tt
||
AppendiHx Page 15
2:00 0.
5 , Sn 8 a8 ax
wo
SoMuodrecle ECmoral TInormcept YRSCHEM
In MSS6dfpp=mS2Lu7i8nm9ema1ra-oFfri0.Fy0i3t042 YRSCHEM
RRSSqquuirree Ad Root Mean Square Error
0000643s327658 1070608
MObesaenrovfiRoenssp(oonrseSum Wats)
3.102648
OF1
ASnuamolfofSyVuasarimiasnsce 4808428
Mem4S8a0u8w5e3
aFlroaiso
&@ 7715086742456986 11620 P0r0o4b4o8r
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003415 00S 205 00s "00601
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001528
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fi
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AppendiHx Page16
RsIquenp=r-- 15n5Oa73a{nSBostsvoascrmmontzs
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SpSieemodsn 1
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o3r:
[ ERSL-- iE mam
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fhroeee
nes
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THToommess
OdcIoamGeme
PSoSamoEnmoEenaSs
sims TSha
oTomyRe
ocmwoiemmss
uoeroeess
001529
rate (oisemBy vRSCHEM
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2
rx
xd
wo
fPBose OE retJsht atesve, scrmJ obnezas
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oa7
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001530
ayopopacee
:
i
i128 a si
er
Kal AppendiHx
AN L . F araR raar rar
InPOARegm sue
5 Sc0o8eSrupe vec
ores
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Sofanresiss u
y5Czome Sa
o4r[sSMmEmmiSEttmSe E00 ple
duesmmaen arceoee pro
rjHoumll CScuomrhsae oCS-- EhEESmS a eeraom onlomisos uwuppsoan
001531
In PESAEpraesormcByta:RsSCHEM
[me
1
.
||
Appendix
Page19
3[3 I PY ------ :
=n
I
Tnwan was
EVSCroouorrcae VyIRonsmcehtEm
near
RRsoInqqPuFurOeeSAAAldfppm Roo Mea Square
Sana = -5.5422 - 0.00745 Emr
YRSCHEM
oLco"as0u0stss
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Fr5
Anctavariasnce
O55F%| SumPGorfoaeSqveuairse)s ollos Mean Square FpeooRsiaotoerio
DsoFwmiiumsmoi
oSPauwrtmaertsaer etmMltaeeilsa oo oss
Poasoosono
Looowomemres
U"spPpeeemaress
001532
ner htore
-
|
Fey AppendiHx
EEfIe er]
ELE
:
TIwoES
RsRquIrnegia 3e8o8ur r5ssvaseoSaatrs
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Toa BBW
oe
TSRomSeS CSCwoemmwme S[diomEm--E--UDoatTvcEohnet ogowbnmos uovppwwmoeon
001533
AElnPganrotocrptaantns aT TInPt FOSApom.By YRSCHET M = l
oq
-
Ef
Bop frm
mf
-
an HAE CAERCC ERE ws
AppendiHx Page 21
ESMroooudrrecle CTou
TInoemreept YRSCHEM
In PFOSAdipp=m-5Un3o6a8r8Fi+t0.0086 YRSCHEM
RSqure `SummaofrFyit RquareAdj
0000025330482
RMoeoatnMoefaRneSsqpuonasree Err
15S832n97
Observations (or Sum Wets)
3
AnalofyVasriiansce
3O5F1 Sum o7f0.S47q73u19a10r81e76s Mean20S54q01ua61r89e PF0r.Roaw8tei%Fo
36
88210203
06673
SEEstiSmaSte
SPaGrEammtrerEstim(aRtaelso Probl 0394 a6) <00l
L6o6we0r7S65)%
OOORSOSI 001932 043 06673 0031663
aUoppseerosrssw 004fass
001534
In --55p8AEtpgarnBcmaypannisYASGHEM 1 |
Appendix
Page22
Fo
ES
f4i,n
.
Two8s ns
ESMmooeuord Clow YiTRnoSmeCpHtEM
InMS56dom =S4u7G3imn6e8ma+raFortf0F0y0i765 RsRRoqqouutarMreeeaAndjSquare Er OMbasenrvoaftiRoensspo(nosrSeum Wye)
ori A"Snm0e3olf7sSv3aa0rmi3eamnce H3 sS0o2s1i3s0i3ss SEs7in6ss 0Pa3SraE6mmestrerEstis(mPaetaelsso 0076503 00105 0S
YRSCHEM L00i00s02s70i39s7 Sisise5s
Me0mLs3w%sw:e PoFrarsoueitse 0813s
Pc0uo6bnl1ti Laoawuaernns
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001535
APapgpeend1ix 1
Appendix I
Regression of regression
Random sample luorochemical on
cguernrdeenrt,joyebacrshewmoirckaledopienrcahteormsic(anl=a4n7d):age:
followed
equationoffluorochemical on gender and years worked in chemical:
by
001536
MSooudrecle. ErCrToorul
`GRhoamnidcaolmOSpaarmaptloers
SIun mPmFaOrSy pofoFmit RRSSqquuaarree Adj RMoeoatnoMfeRaenspSqounasree Error Observations (or Sum Wats)
OF AnSaluymsoisfSofquVaarrieasnce
a3
128020402200719
Pa
16262370
000.16213917583 00359725752050
a Mea0n6S6q6u7a6r6e
033211
SLoaucrkcoef Fit: TPuorle EErrrroorr 0Ma9x7R9Sq
OF LSaucmkooffSqFiutares MoanSquare
a2
10339311804253 0031369529724
a
14242071
TIontemrcept `GYERNSDCEHR(EFM-M] AGE
ParamEosttoirmsElsotimatesSWEmor tRaio
00464337 020812
00.411022484828
200.121
0000002992683841 0000100891194 008257
GSoEuNrcDeE.R AYGRESCHEM
Neam DF EffectSuTomsotfSquams
|"
13553627
4F0R9a2l1o
LLo oa
002032948865027 0070274520
20R1at3i1o Probar 0.1263
20R4at4i8o ProboF 03833
P0r91o0b9 0030949953 07855
0P0r4ob9s3F 00738959s5
APapgpeen2dix 3
001537
MSooudrecle ErCrToorul LSaocurkcoef.Fit TPoutrael EErrrroorr 0M8a1x2R2Sq ITnotemrcept GYERNSDCEHRE(FM-M] GSEouNrDceE.R YRSCHEM
ChReamincdaolmOSpearmaptloers
SIun mPmFaOrSy pofpFmit RRSsqquuaarree Adj MRoeoatnMoefaRnesSpqounasree Error `Observations (or Sum Wats)
OF AnaSluymsiosfoSfqVuaarieasnce
"2
141296765942418
%
16262370
OF LSaucmkooffSqFiutares
123
131025105998356
"
18266921
00..102811662937 00.359629742258
rl Mea0n9S8q7u7a2r4e
0324248
Mea0nS8qu1ar8e 0169499
3F.R0a4t6i2o P0r0o8b7>7F R2a5t4i50o P0r0o2b1F
0E1st2i7m0at5e 00021007999449
ParSatmdeEtmeorrEstimatteRsalo 001.081478923 210140 0008978 122
Npam DF Effect STuesmtofSquares
[1 ET
0L48I22S50T6
P0r2o7b6l2 0020249711
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0P.r0ob7s1F 02201
APpapgeend3ix I Up0p4e3r197597% 00209.00403288
001538
ChReamnicdaolmOSpearmaptloers
SoMoudrecle ErCrToorul
`ISnuPmmFaHrSy pofpmFit RRSSqquuairree Adj MRoeoatnoMfeaRnesSpqounasree Error Observations (or Sum Wes)
OF AnSaluymsiosloSfqVuaarieasnce
a3
1143659406706530
46
28236813
040.4437493723 0~.L51874750085
a Mean4S5q1u5a3r5e
034165
SoLuacrkcoefFit PTuoruelErErrroorr 0M9a8x8R4Sq
OaF
LSaucmkooffSqFiuterss 14362568
Mea0n3S5q0u3a0r7e
a2
104362980179653 0164098
TInotemrcept GYERNSDCEHR(EFM-M] AGE
SGoEuNrcDeER
Neam[a
AYRGSECHEM
LFoE
ParamEesttoirmeElsetimatesSWEmor L03E47S84T7 004.118084994 00000407508063 0000110i908885
OF EffoctSuTomsotfSquaws 631748266139405 0009719
taRdaiso 343234 005 1F0r2ai2o 10709072985
1F32Ra1t6i5o P<r0o0b0o1F
2.R1a3t4i7o P0r3o7b0a7r
P<r0o0b0slt 0000000118 0577
0P0r0ob1s8F 0009050717
PAapgpeen4dix I
001539
SMooudrecle ErCrToorul Lsaocukrcoef Fit PTuortealEErmroorr 0M8a9x3R3Sq TInoemrcept Y`RGESNCDEHRE(MF-M) SGoEuNrDceER YRSCHEM
ChReamnidcoalmOSpaermaptloers
Rsquare ISnuPmFHmSaopfrpFmyit RSRoqoutaMreeaAndjSquare Error OMbesaenrvoaftiRoenssp(oonrseSum Wes)
OF ASnumaoiloSqyVuaasrrieiasncse
pr2t
1143659315703758
pl
28236813
OF LSaucmkooifSqFiutares
2is
13.061737980332
Pl
14691735
LEsStimTate
ParaSmUeElmoorrEstimaRtoas l 014029 1345
00O46767844 00.010032197 3S3172
Neam OFEftctSuTomsotfSquares
1 [ET
8377620005507
00.345769064966 0"5L7177874034
a Mea6nS7q7u5a4e
03330
Me0a4n4S9q1u4a7e 0167439
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P<r0o0b01l Lo2wiorrdS0S14% <0000001l6 000525863016226
13FR4a1tl8o oPorooblssF 26210 <0001
PAapgpeen5 di1x Uppeeorraessu 006.s309n6e9s9
001540
ChReamnicdaolmOpSearmaptlores.
MSoodurecle Error CToul
`ISnuPmmOaArAy pofpFmit RRSSqquuaarree Adj MRoeoatnMoefaRnesSpqounasree Error Observations (or Sum Weis)
OF `AnSaulmysoifsSofquVaarrieasnce
a3
135.061838985896
Pa
18702845
0.197237 0.05.9104819293 0635094
Fd Mean1S2q9u6w3e
034916
SLoaucrkcoef Fit PTuoruelEErrrmoorr M09a9x5R0Sq
OF LSaucmkooifSqFiutares MeanSquare
a2
104099149272318 00034673L8IL9
"a
15013059
TIontrerncept GYERNSDCEHRE(FM-M) AGE
ParamEestteirmeElsotimatesSiWEmor tRato
003331988390331 00.41205367373 300810
0000000383%993 0000111120086
080 003
GSEouNrDceER YRSCHEM AGE
Noam DF EffoctSuTomsotfSquares FRaio
L[oI
0321270063851675
90799 06320
[I
00003258 00009
3F5R2a1i7 P0r0o2n28k
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0P0r0ob4s3F 0094735180
APpapgeend6ix I
001541
MSoodurecle. Error
CToul SLoaucrkcoefFit TPoutraelEErrrroorr 0M8a7x5R8Sq ITnotemrcept GYERNSDCEHRE(FM-M] SGoEuNrDceER YRSCHEM
`CRheamnidcaolmOSpoarmaptloers
`ISnuPmmOarAy pofpFmit RRSSqquuaarree Adj RMoeoatnMoefaRneSsqpuoanrsee Error Observations (or Sum Wats)
OF AnSaluymsoisfSofquVaarrieasnce
a2
135.061848256805
4%
18702845
OF LSaucmkooffSFqituaes
26is
122362912936159
a"
15014285
00.119670271209 00653854019542
a Mean1S84q4u2a8e
034123
Mea0n4S8q8u1a6r6e 0.128998
sRaatoio P0r.o0b0s8F0 R3a7t84i3o P0r0o0b2o5F
03E5s0m6a1l6o 00030198029833
ParaSmUoEtfoorrEstima(tReastio 00.11044202653 320458 000921 099
Neam1DF
EffoctSuTomsotfSquaies 31700833
[--
03330469
0P0ro1b7s1l 0030208369
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001542
SMooudrecle ErCrToorul
ChReamnicdaolmOpSearmaptloras.
ISn uPmFmOaSrAyAofpFpitm RRSSqquuaarree Adj RMoeoatnoMfeRaenspSqounasree Error Observations (or Sum Wes)
OF AnaSluymsoisfSofquVaarrieasnce
83
10161.1026069057
Pa
117.18701
00003914755939 1.45470853568
a Moan3S7q0u6a9r8e
246665
SoLaucrkcoef.Fit PuTortealErErrroorr 0M9a2x9R7Sq
OaF
SLuamcokfoSfqFuitares 9782374
Mean2S3q8u5a9r4e
a2
1068.2046263037
41216
TInotemrcept Y`GRESNCDEHRE(MF-M) AGE
ParamEestiemraEtsetimatesStEmor tate S0I44S1I567T5 0L21820S7S663S 1S5u7l 00003252473635 00002299572855 41129
GSEouNrDceER AYRGSECHEM
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0P.r2ob3o1F 0o.2l36l7s
APpapgeend8ix I
001543
SMooudrecle ErCrToorul SoLaucrkcoefFit TPoutraelEErrrroorr 0M.a6x36R6Sq TInotemrcept GENDER(F-M), 'YRSCHEM SGoEurNcDeER YRSCHEM
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I`nSPuFmmOaSrAyAofpFpitm RRSSqquuaarree Adj MRoeoatnoMfeRaensSpqounasree: Error Observations (or Sum Wgts)
DF AnSaluymsiosfoSfqVuaraieansce.
a2
1079.3589794601
P
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123
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10958740
0002026344835 Ls"7a8a187316
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1F5R2a5t6o ProbaF 02288 F1E.R0a8t9i1o P0r.o4b33s5F
44Es8t6i6ma3t7e 0439541 0022657
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Npam OF EffectSuTomsotfSquaes
1[a a
2600644596343059
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001544
`CRhaemnidcoalmOpSearmaptolras.
MSoodurecle. Error CToul
SInuMmS7m0aporpfFmyit RRSSqquuaarreeAdj MeRoaont oMefaRensSpoqnusaer.e Error Observations (or Sum Wes)
OF ASnumaofloSfqyVuasarriieanssce
a3
5287.03545557873
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00..017366682412 1.107108 203122
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OF LaScukmooffSFqiutares
41 2
52472382 0232195
"a
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ParamEestteirmEastteimatesSWEror tRatio
1709276 0793426 029462 0.1914
205 149
0000031875588 00002200891926 1-08038
SGoEurNcDeER YRSCHEM AGE
Noam OF EffectSTuomstofSquas FRaio
JrEo
4207010693559015 323231727
roa
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0.0865
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Appendi1x Page 10
001545
MSooudrecle. ErCrToorul LSaocukrcoefFit PTuoruelEErrrroorr 0M7a1x3f2iSq TInotemrcept GYERNSDCEHRE(FM-M] `SoGuErNcDeER 'YRSCHEM
ChReamnicdaolmOSpaermaptloers
`SInumMm5a7r0y pofpmFit RRSsaquuairree Adj MRoeoatnoMfeRaenspSqounasree Error Observations (or Sum Wets)
OF AnaSluymsoisfSofquVaarrieasnce
a"2
582374163833256
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ro
ParaSmWoEtmoorrEstima(tResao
00129656616859
664 LSI
00ITS8 228
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001546
ChReamnicdaolmOSpaermaptloers
MSoodurecle. ECrToorul
S10uPmmFaOrSyAopfpFmit RRSsqquuaarree Ad) MRoeoatnoMfeRaenspSqounasree Error Observations (or Sum Wes)
OF AnSaluymsiosfoSfqVuaarieasnce
a3
1469.0265166597
Ea
15531826
000.4002268627 1861868 3.5716a7 Mea2nS0q8u5a2e 346655
SoLaucrkcoef.Fit PTuortaelErErrroorr 0M9a7x6R3Sq
OF SLuacmkooffSFiqtuas MeanSquwe
a 2
14538604 3.67565
354600 183782
a
149.06169
ITnotemrcept GYENRDSECRH(EFM-M] AGE
ParamEestteirmaEtsetimatesSUEWor Ratio
02169978198015 1033342387 025092
0023905 001721
000305303011
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GSoEuNrcDeE.R YRSCHEM AGE
Noam OF EffetSTuomstofSquas FRaio
I [a
L1S2B186S66264)5 0043558130
io
08381204 02418
0F 6R0at1i6o Prob>F 06175
1F 9Ra2t9i5o P0r.4o0b0F6
0Pr0o4bs9i4y 05567 005205240
0P5r5ob6s7F 0065205240
APapgpeend1i2x I
001547
MSooduercle. CErrToorul SoLaucrkcoefFit TPoutraelEErrrroorr 0M.a5x68R6Sq InTteormcept GYERNSDCEHRE(FM-M) GSEouNrDceER YRSCHEM
`CRheamnidcaolmOSpaermaptloers
Rsquire ISnuPmFmaOrSyAopfoFmit RRoSoqtuaMreeaAndjSquare Error OMbesaernvoaftRieosnpso(norseSum Wes)
OF AnaSluymsoisfSofquVaarrieasnce
a"2
1495..8491988415
P
15531826
OF SLuamcokfoSfqFuitarss
123
6872.8090184383
a"
149.8981
000.3040888968 3185475176576
a Mea2nS7q0u2a3e
340681
Mean3S1q8u8a1r3e 37268
oRatsio ProbsF 04579 0F8R5at6i4o P0r6o4v8osr
Fsimate ParamSeGtEemrorEstima(tResao O3I391B6I0T734 0034294985838 076309 003353 0029102 LIS
Npam OFEtoctSuTomsotfSquaes
[La oa
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0P5r5ob1o2F 0252
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001548
MSoodurecle. ErCrToorul LSaocukrcoefFit TPuoruelEErrrroorr 0M9a9x7S3 q
`ChRoamnnidcoalmOSpaermaptloers
S0umMm5a5r5ypofomFit RRSqquuiarree Adj MRoeoatnMoefaRnesSpqounasree Error Observations (or Sum Weis)
OF AnaSluymsoisfSoqfuVaarreansca
a3
27..867933036855
kg
60566451
OF SLuamcokfoSfqFuitires
a 2
520.711603002378
a
52873065
00.016267101294 31..11028285736
a Mea2nS5q6u4a6o
122961
Moan1S2q8u5a6r1e 00812
TIontrerncept GYERNSDCEHR(EFM-M) AGE
ParamEostioirmeElsotimatesSWEmor tRaio 02374607989782 007.9149689243 137512 0000034143214 0000220180436 102419
SGouErNcDeE.R AYRGSECHEM
Noam OF EfoctSuTomsotfSquaies
(--
36385764
2F9R9ai1o
LFoE
027025556367390 0202415607
2F0R8at5i6o P0r1o1b6a2r 15F 7Ra7t0i7o P0r0o6b1a3r
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0P0ro9bo6F 00.81342398
PAapgpeend1i4x 1
001549
MSooudrecle CErTroorut Source PLuarcekoErfrFoirt TMoatxalREsrqror 07329 TInotmercept YGERNSDCEHRE(FM-M] SGoEuNrcDeER YRSCHEM
`CRheamnidcaolmOSpaermaptloers
SIunmMm5a5r6ypofpmFit RRSSqquuaarree:Adj RMoeoatnoMfeaRnesSpqounaser:e Error `Observations (or Sum Wats)
OF AnaSluymsoisfSofquVaarrieasnce
2
7.638006
44 4
6502596268445415
OF LSaucmkooffSFqituaes
1286
36751620 16.176825
a"
52928445
0.00.8162361817 13..01926275737
a Mean3S8a1u9a0r0e
120292
Mean1S4q1u3a5r2e 089871
F3.R1a7t4i8o ProboF 00515
F1.R5a7t2i8o Prob>F 0.1616
29Es4t6i5ma1t7e 0341253 003379
ParSaWmEemteorrEstima{tReastio
0266731 0.196063
1.05 174
0017293 -195
Npam
DF
Effect Tost SumofSquares
rro oa
4356944217536050
<Pr0o0b0sl1i 0000587818
3.F0R2a0o4 38180
3L4ow8o4r09757% 007036683622
0P.r0o8b8s8F 00571
Appendix I
Page 15
U2p.4p0e89r5s7 0000051308681572
001550
PAapgpeen1dix J
Appendix |
Regression
of
Random sample fluorochemical on
current job engineer/lab gender, years worked in
group (n = 23): chemical and age;
followed
by
regression equationoffluorochemical on gender and years worked in chemical:
001551
MSooudrecel. ErCrToorul SoLaucrkcoefFit PuTortealErErrroorr 0M9a8x1R0Sq InTteormcept YGRENSDCEHRE(FM-M) AGE GSEouNrDceER AYRGSECHEM
RaEnngdionmeeSriaLmapble
SIunmPmFaOrSy pofoFmit RRSsqquuairree Adj MRoeoatnMoefRaenspSoqunasree Error Observations (or Sum Wets)
OF AnaSluymsiosfoSfqVuaarieasnce
13
194.310897338110
2
23496691
OF SLuamckofofSqFiut aes
131
013.3484662671683
19
14309381
002.30941804074 0089637889288
23 Mea3n0S6q2u4a4e
075313
Mea0n7S7qu0a5r8e 0446618
R4.a0t6i6o3 P0r0o2b1s7F
1F 7Ra2t4i4o P0r5o4b3s8F
PAappgeend2ix J
DE6sIti6m8el6o 0(004S6671563626 O03
Neam[a [IoI
ParaSmGeEtweorrEstimaRteas.l 01241345705847 026423 00004378643237 016252 OF EffectSTuomstofSuats
511154186508007 03226016
P0ro6b7ol2l 002031806 05206
6F8R4al0l3o 0144288083
3Lo6we0r4SS7% 01003131617458 0.30872
0P0r1ob7s0F 0052230866
Upp2aosresorsrss 0-.02M7l128i0s0s 00685214
001552
MSooduercle ErCrToorul LSaocurkcoefFit: TPoutraelEErrrroorr 0M8a4x1R8Sq ITntoemrcept GYERNSDCEHRE(FM-M] SGoEuNrcDeE.R YRSCHEM
RaEnngdionmaoSraLmapble
SIunmPmFaOrSy pofpFmit RsRqSquuaarree Adj RMoeoatnMofeRaenspSqounasree Error Observations (or Sum Wgts)
OF AnaSluymsiosfoSfqVuaraieasnce
220
184.683614978038
2
23496691
OF LSaucmkooffSFqituaes
E2l
103971183276157
2
14631983
LSEsItBiEmsIl9o 000523373737714
ParaSmUeEtmoorrEstimaRtaetsio 00220781538728 2S5687 0013818 169
Noam DF EffoctSuTomsotfSquates
[{I --
4280683616675358
0377275 00835155303062 0.93898
5 Mean4S4q3u2a3r5e
073160 Mea0n5S0q9u4a7r6e
0464783
P<r0o0b0sll 0010016880
6F6R4a7i3o 2822
R6a0t58i4o ProboF 0.0088
1.R9a5t6i8o ProboF 0173s
2Lo1w0e4r9659% 00.907025846857
0P0r1ob8s0F 0.1068
APapgpeend3ix J 0Up0pe1r2os0w 000.15022166813
001553
MSooduerlce ErCrToorul LSaocukrcoef.Fit TPoutraelEErrrmoorr 0M9a8x4R9Sq ITnotemrcept YGERNSDCEHRE(MF-M) AGE GSEouNrDceER YARGSECHEM
RaEnngdionmaoSraLmapble
Rsquare SIunmPmHarSy pofpFmit RRoSoqtuaMreeaAnQ)Square Error OMbesaenrvoaftRieosnpso(norseSum Wats)
OF AnSaluymsoisfSofquVaarrieasnce
13
2116932763497106
2
38.300386
OF SLuamcokfoSfqFuitares
131
201537488045164
19
21926470
0043237751123 L2o574a722s1s
2 Mea5n4S5q7u9w7e
LISO2
Moan1S18q6u0w2e 057806
4F7Ra0t5o 0P0r1ob2s5F 2F0R5at1i7o P0r.o5b0o60F
24Fo6i2m0a1l6e 000754416850059 0030306
ParaSmWeEtmeorrEstimattoRselo 0127675684377 217399 00005487956637 OLSIIS
Neam[a
OF EffectSTuomstofSquas 89859716
I Lo
013S02438352614s
P0r1o8b1l7 002061478 0612
F77r8a6c6 0123628020
L6o.w1e8r098535% 10.209484290038 0.153717
P0r0o1b1a7r 0062163428
PApapgeend4ix J 1Uapepseirosrssw -00.115a4s2d0e0r7 009300
001554
SMooudrecle CEmoourr LSoaucrkcoefFit PuTorteal EErmroorr M08a5x4R3Sq TIontmercept YGERNSDCEHRE(MF-M) SoGuErNcDeER YRSCHEM
RaEnngdionmeeSraimapnle
RSquare ISnuPEmHmSaopofrmFyit
041955)
RRoSoqtuaMreeaAngjSquare Error Meanof Response
01306514350080 250721
Observation (o Sum Wyts)
23
OF AnSaluymsoisfSoqfuVaarrieasnca MemSauare
2
16069059 s0Ms3
F72a28t0
22
3282.33010332866
LIST P0r0o04n3k
IOiF
LSaucmkooffSFqituies 18182976
Mean1S51q5u2i5e
2F9R9a4l3o
25
24203418332560 050604 P00r6o3b8
JEsIimeSlo
ParaSmWeEtMeorrEstimatteRsaio 03ST ODE
OOTOTSO 0002157700333 217897
Noam1OFEflotSuTomsotBfSqSuaBws
roa
3899557
P<u0b0ls 0000729
7F8Ra1iso 3509
Lo4w0o%r39653% 0l0a0sss
OProobisF 007s
PAapgpeen5 diJx eUpspeorgssi 0o6serss
001555
SMooudrecle Error CToul SLoaucrkcoefFit PTuortaelEErrrroorr M0a9x45R3Sq TInotenrcept `GENDER(F-M] AYGRESCHEM GSEouNrcDeER YRSCHEM AGE
RaEnndgnoemaSraimLpable
`ISn uPOmAmAoaBfPrFMyit
RRSSqquuaarree:Adj
Root Mean Square Meanof Response
Error
Observations (or Sum Was)
OF ASnumaofloSfqyVuasarriieasnsce
3 19
8.441730 17263008
2
25704738
OF LSaucmkooffSqFiutares
18 1
15.855759 1407248
19
17.263008
00232228347111 0953194 156794
2
MeanSquare 281391 090858
F3R.a0t9i7o0 P0r0o5b1s4F
MeanSquare 018480072858
F0R6a2t6i0o ProbsF 07776
LEOstImaSle 0006362337312976 00271
Npam To ro r
ParaSmWeEtmeorrEstima(tResao
Ls76253 0235879
065 281
00004S2321097 006737
DF EffectSuTmesotfSquares
71953670
3
05318 03551409
Probal| 05252 00405311 0513
FRalo 7.9194 03868 03909
Lower3S% 4319296 0-0L5I6S040%72 0042213
ProbsF oil 04s3l 05393
PaAgppee6ndiJx Upperosw 22789001 00..1127006079199 00767938
001556
MSoodurecle. ErCtToorul SoLaucrkcoef.Fit PTuoruelEErrrroorr 0M.a5x98R4Sq TInotemrcept YGRESNCDHERE(MF-M) SGouErNcDeER 'YRSCHEM
RaEnngdionmoaSriaLmapble
SIunmPmOaArAy pofpFmit RRsSqquuuarree Adj MRoeoatnMoefaRnesSpqounasree Error Observations (or Sum Weis)
OF An'alSyusmisolofSqVuaraieasnce
22
187068168519409
2
25704738
OF SLuamcokoifSFqiutares
2 3
125601025293135
20
17618149
00321446509555 019.3586579647
23 Mean4S0q4ua2r9e
08891
Mean1S2qu5a0r9e 032653
F45a89o9 P0r0ob2a9r F3R8at0i7o P0r0o3b2a6r
PAapgpeend7ix J
CELsOiTmaHlSo 00603087772674
ParSaimWeEtweorrEstima(tResao 00229278788759 267697 00ISI63 OSI
Noam{--DF
EftSuTomsotfSquaes 68604184
[E
02309580
P<r0o0b0sll 00601U432
7F7R8a7i5o 02622
2L6ow0e8r5S1S3% 0-0L2l368I6s56
0P0r1ob1s3F 0642
Up1peaersoissss 000.319631923918
001557
MSooudrecle Ermor C Toul SoLaucrkcoefFit TPoutraelEErrrroorr 0M9a9x9R7Sq ITnotemrcept `YGRESNDCEHRE(MF-M) AGE GSoEuNrcDeE.R AYRGSECHEM
RaEnngdionmaeSraLmapble
ISn uPmFmOaSrAyAofpFpitm RSRqSuquaarree Adj RMoeoatnMoefaRnesSpqounaser:e Error Observations (or Sum Wes)
OF AnaSluymsiosloSfqVuaarieasnce
It]3
3121283663671933
2
4.100406
DF SLuamckolofSFqiut aes
13 1
32.220887 0013726
19
32236613
0206.91051368 1.302561 520328 Mean3S9q5u4a6r0e 169666
Mean1S7qu9a0r6e 001373
23R3at0i8o P0r.o1b0s6F7 130F.R4a2t1i1o P0r.o06b8o8F
2IEs4t2i2ma7t8o O007606B5I6E57 0107688
NeamTo Lo
ParaSmGeEtmeorrEstima(tResao 2013523393838 203999 00007517469757 L1S1I6
DF EffectSTuomstofSquas
2926797517567154
oa
3849343
P0ro3b3s2l4| 0020621703 01484
5F7R1at4i6o 13421 22688
6L.o6w5e0r5S8%6 10404553182% 0257327
r00o2b7s3 02610 014g
APapgpeend8ix J 2U3p6p6o0r0s0s1w 00..1081955382 00419505
001558
SMooudrecle. Error C Toul SLoaucrkcoefFit PTuortaelErErrroorr 0M5a2x3R0Sq TIontmercept YGRENSDCEHRE[FM-M) GSoEuNrcDeE.R YRSCHEM
RaEnngdionmeeSraLmapble
RSquare InSuPmFmOaSrAyAofpFpitm RRoSoqtuaMreeaAndjSquare Error OMbesaenrvoaftiRoensspo(onrsSeum Wis)
OF AnSaluymsoisfSofquVaarrieasnce
202
36800845494597
2
4.100406
1O2F
SLuamcokoftSFqiutares 15048236
28 362.1008357975271
00..019891970352 153.423023482
2 Moan4S0q0ua2r2e
L830
Mean1S2q5ua6r2e 26972
2F2R2a0i9o P0r.o1b34o6r F0E 4R7a6t9o P0r.o3b8s05k
SSmRaMle ODeO0IMS
NoamIo Lo
ParSadmEemteorrEstima(tResal 003476516139 1221500 0021701 065 DF EffoctSuTomsotfSquaws
0779568020331880
P<r0o0bll 000542825
4F4R1a1l7e 0402
Lo6waeirsdasls% 010397313943
P0r0o4p8e6r os22
APpapgeen9dix J rUpeperraesw oooosmiiaeasy
001559
MSooudrecle ErCTroorul SoLaucrkcoef.Fit PToutraelEErrrroorr 0M9a9x4R6Sq TInotemrcept GENDER(F-M) AYRGSECHEM SGoEurNcDeE.R AYGRESCHEM
RaEnngdionemarSiaLmapble
RSquure SIunmMm5a7r0ypofpFmit RRoSoqtuaMreeaAndjSquare Error OMbesaenrvoaftRieosnpso(norseSum Wts)
OF AnaSluymsoisfSofquVaarrieasnce
It3
106785847092450
2
17641966
OF SLuamcokfoSfqFuitares
18 1
106079961174937
19
16887940
00.0140287441 0"934021671823
23 Moa0n2S5a1u3a4r2e
0888839
Mo0a9n3S2q8u7a8w 0096143
0F2R8a2i8o Probar 08m
9F 7R0al3i0o ProboF 02481
20Ed4i1ma2l4e 000027507057244 0033236
NeaTo [LIo
ParaSmWeEtmoorrEstima(tReastio 0125539300326 017336 00005411774476 006642 DF EffoctSTuomstolSquas
003437822344666248 03666614
P0r1o9v1a0 00457496 05284
0F5R3a1i4o 00431820s5
LoSw3er7S7% 006056836727 0.141543
OP4rroabdF 005s2s8ds6
APpapgeend1i0x J 1U1p4p8e9r592s7s 003.118i321320678 00750014
001560
MSooudrecel. ErCrToorul SoLaucrkcoefFit PToutraelEErrrroorr 0M.a4x85R9Sq TIontmercept GYERNSDCERH[EFM-M] SGoEuNrcDeER YRSCHEM
RaEnngdionmasSiiaLmapble
Rquire SuInmMma5r7y0popf mFit RRoSoqtuaMreeaAngSquare Error MOebasenrvoaftRieosnspo(norseSum Wes)
OF AnSaluymsoisfSofquVaarrieasnce
22
107328574630624
2
17641966
OF SLuamcokfoStqFuitares
I]3
98..017804057293
Ed
17254602
000.2017955875 0390218681323
23 Mea0n1S9q%ua8r2e
0862730
Mean0S6q8u2a0r6e LISS
02R2a4o5 P0.r8o00b9F0 F06a01i6 P0r7o9b3o9F
3E0si9m6a8l5e 000104047680824
NoamLo [I
ParaSmUeEtmeorrEstimatteRsa.lio 00222064560957 -1006S4I 0015006 005 DF EffectSuTomsotfSquaes
000305213681177459
P<r0ob0o0lIi 0095538065
0F4R0a7o6 00028
L3o7w1e1rsS752% 0.006310750138
0P5r3ob0s5F 09586
PApapgeend11ix J Uappmoarraesss 003023728078591
001561
MSooduercle ErCrToorul LSaoucrkcoef.Fit TPoutraelEErrrroorr 0M9a9x5R0Sq ITnotemrcept `YGRESNDCEHRE(MF-M) AGE SGoEuNrcDeE.R AYRGSECHEM
RaEnngdnoemeSraLmapble
SInumPmFaOrSyAopfpFimt RsRqSquuiarree Adj MRoeoatnoMefaRensSpoqnusaer.e Error Observations (or Sum Wets)
OF AnSaluymsiosloSfqVuaraieasnce
3 1
0.846121 7.471423
2
73317544
DF SLuamcokfoSfqFuitares
i]1
720130674305730
19
7471423
o0.o11414s5s3 5.13995332052
23 Mean0S2q8u2a0r6e
381429
Mea4n0S0q5u7a8e 036735
R0a0t73i9o P0r9o7b32e 10F 9Ra0t4i4o Probar 02345
SOEsBtSiImaEtTe O0I07060736327 0017139
ParSaWmEomtoorrEstima(tReastio
329618 0483297
18S 036
00100876149778 000126
Neam DF EffectSuTomsotfSquaos [LIJ o 000050900761505038513522533
0Pr0o7bs9l4l 007918907 08747
0F1R3a2l7o 000002064
1L2ow7e4r4s7s0% 0018837s6S2U 020725
0P7r1ob9s7F 009784470
APapgpeend1i2x J 0U7p7p4o4r5o9s8w 01Li7g9798378831 02413001
001562
SMooudrecle ErCrToorul SoLaucrkcoef Fit PTuortaelErErrororr 0M8a3x8R1Sq ITnotemrcept `'GEYNRDSECRH(EFM.M) GSEouNrDceER YRSCHEM
RaEnngdionmaeSraLmapble
Rsquare SInuPmFmaOrSyAopfoFimt RRoSoqtuaMreeaAndjSquare Error OMbesaenrvoaftRieosnpso(norseSum Wes)
OF AnSaluymsoisfSoqfuVaarrieasnce
202
702.576488962105
2
73317544
OF SLuamcokoftSqFiut aes
2s
6101689771360290
2
72568929
000.1008281717 51..93094382458
3 Mea0n3S7q4u3a1e
362845
MeanSSOqSu8aIrLe 148395
F01a0l3c2o P0r9o0v2s5r F34a08t5 P0r0o4b5>2r
SSiimomns
|PaSradmEemteorrEstimaRtoaso 060M36E 906
OOOpLlLlLaIRSs | 0O0d3e0i7si764 0033%5
NoamTo
DF EffectsuTomsotfSquaes 044622510
Lo
04730607
P<r0o0bo0ill 007m2e1s8
0F1R2al3l0o 01304
6L7o3ws9r0s6s8% oosmosss
P0r7o2p0e5r 07218
PAapgpeend1i3x J Uipapievrems cjaoirmee
001563
MSoodurecle ErCrToorul LSaoucrkcoef.Fit PTuoruelEErrrroorr 0M9a9x9R1sq TInotemrcept YGERNSDCEHRE[MF-M] AGE SGoEuNrDceER AYGRESCHEM
RaEnngdionmeeSraLmapble
Rsquare SIunmMm5a5r6ypofpmFit RRoSoqtuaMreeanAdSyquare Error OMbesaernvoaftRieosnpso(norseSum Wats)
OF AnSaluymsiosfoSfqVuaarieasnce
13
28L1i9678990168
2
20362824
OF LSaucmkooffSFqituaes
181
20.0725175515
19
28197906
000.319161793 14.26158023377
2 Mean0S3q8u8a3r1e
143410
MeanLSS6q5u1a2e 002575
R0a2t61i6o P0r8o5b2e1F 6R0a7t69i7o P0r.o1b00a6r
SS3um4el3e 0D0u18k28m7 003428 Noam[a
[[Ia
ParSWaEmeter Estima(tReasbo 0200144686 024920 00006563896463 0O3SI4 OF EffoctSuTomsotfSquares
00126720558661498 038865284
P0u0b8l2 0073683 06147
F0.R176c9 002164199
L1ow0er0s605 0011351109 0105734
P0r.o6b78s7F 0067l34873
PApapgeend1i4x J Urppeosroesrs 0o0s9e4s6i1e5n6 o.17arees
001564
Source ErMrooderl C Toul LSaoucrkcoefFit TPoutraelEErrrroorr M0.a4x85R1sq InTtoermcept YGRESNCDEHRE(MF-M] GSoEuNrcDeER YRSCHEM
RaEnngdionmerSiaLmapble
SIunmMm5a5r6ypofpFmit
RRSSqquuaarree Adj
Root Mean Square MeanofResponse
Error
Observations (or Sum Wats)
OF AnaSluymsiosfoSfqVuaarieasnce
Ea2
280..578766525695
2
29362824
OF LSaucmkooffSFqituaes
2 3
13.4606 15.119953
20
28586559
0026437 1010975059425 4.65037
2 MeanSquae
038813 142933
Mean1S1q2u2a2r2e 188999
Ratio P0r2o7b1o5F 0.7650
R0.a5t9i3o8 ProboF 0.7996
48E3i2m3a6t4e 00050374013417
ParaSmGeEtmeorrEstima(tResao
00239719534158
1274 052
009315 038
Near OF EffectSuTomsotfSquares
ron [E
0.39380354 021064617
Probl <0.060005I4 07051
0F2R7a5l5o 0.1474
Lower35% 5.623603 0007362181784
0P.r6o0b5o4F 0.7051
APapgpeen1di5x J Upporosw 04a0s4s1l1T226 0.047703
001565
APapgpeend1ix K Appendix K RegrersesgiroesnsoifonfelquAuolarltopicaohrnetmioicfciapfallnuotonrcuogrcerhneednmetircj,aoylbeoacnrhsegmweioncrdakelreodapneidrnacytheoaerrmssi(cwnaol=rak6n4e)dd:aignec;hfeomlilcoawled by
001566
Source ErMtoodrel CToul LSaocukrcoef Fit Pure Error MTaotxalRESrqror 09661 InTtoemrcept GENDER(F-M) AYGRESCHEM SGoEuNrDceER AYGRESCHEM
CAhelmiPcaarltiOcpiepraanttsors
ISnuPmFOmSaopfroFymit RRSSqquuaarree Adj MReoaont oMfeRaensSpqounasree Error Observations (or Sum Wes)
OF ASnumaofloSfqyVuasariraienscse.
603
244.845030198614
6
29254145
OF LaScukmooffFSiqruaws
573
230896911563475
60
24853181
0.150430 0.107961 0643599 0.392284
64 MeanSquare
1.46699 041422
MeanSquare 0043138065293
FRatio P3r5o4o1f6 00198
R1a.2t6i6o4 ProboF 04953
Fsimate ParaSmWeEtmeorrEstima(tResa.o
0062633 JDasodes
0401961 010427
016 240
OO7II46 0000079
00001L0I609S82
0L0S1S
Noam OF EffectSuTemsotfSquares
ro ro
23900299 09933570
Loa
00000227
P0r8o7b6s7| 00.01129647 041
SF7Ra7ti0o 2030908011
L-o0w7e4r194508% 000.40549909325 0021478
0P.r0o1b9s4F 00.91924617
PAapgpeen2 dikx 0U8p6p6o6r7g4s3w 00-03.90241231943 00213193
001567
MSooudrecel. ErCrToorul LSaoucrkcoefFit TPoutraelEErrrroorr 0M6a9x1R8Sq ITnotemrcept `'GYERNDSECRH(EFM-M] GSoEuNrcDeE.R YRSCHEM
CheAmlicPaarltiGcpiepraanttsors
Rquire SInuPmFmOaSraylopfpFimt RRoSoqtuaMreeaAndjSquare Error OMbesaenrvoaftRieosnpso(norseSum Weis)
OF AnaSluymsoisfSofquVaarrieasnce
612
244.845030290414
6
20254145
OF LSaucmkoolfSFqituaes
330
91.5081358012804
61
24853204
00..112520548348 00.633982320824
6 Mea2nS2q0u0a7e
040743
Mea0n5S1q0u9ar0e9 0300501
F5E.R4a0t0i9o ProbaF 0.0069
1F.R7a0t0i2o P0r.o0b74>8F
00E5s9ti8m2a4t8e 0020570056473
ParSaGmEemtoorrEstima(tReas.tio
0.132618 0.1088
045 244
0008912 192
Noam OF EffectSTuomstofSquas
L[a oa
214491423963113
P0r6ob5s3l5| 0000610728
5F9r3Ra0i6o 36678
0L2ow0e5r39652% 00040506725635
0P0ro1b7o8F 00602
APapgpeend3ix K U0p3p3or5s0s1w 003-40084846882
001568
SoMoudrecle ECrmToorul SoLaucrkcoefFit TPoutraelEErrrroorr 0M9a8x4R2Sq TInotemrcept `YGRESNDCEHRE(MF-M] AGE SGoEuNrcDeE.R AYGRESCHEM
ChaAmliPcaarliOcppearnattosrs.
SIunmPmFaHrSy pofpFmit
RRSsqquuaarree Adj
Root Mean
MoefaRneSsqpuoanrsee
Error
Observations (or Sum Wats)
OF AnSaluymsiosfoSfqVuaarieasnce
3
2147869967961847
a
4259460
OF LSaucmkofofSqFiutares
E 3
200627233355577
3
24896914
00431856429616 01..62434018645
6 Mea5n8S9q9u2w3e
041495
Mea0n4S2q4u9a7r5e 024452
1F42Ra1t6i8o P<r0o0b0o1F R1a.8t9i3o4 P0r3o3b5s3F
-LEs7i2m0a8l2e 000347800823638 00ST
ParaSmGeEtmoorrEstimatteRsalo 0014004331642 345258 0000U1I0O760I7 045344
Noam DF EffoctSuTomsotfSquaes
F1 E
75283290380496
ro
01191450
P<roo0b0ll <000007 05940
12F6R2a6l6o 10828857110
L2o5w2e6r654% 00052959509031 0.027155
r0.o0b00s7 0<.05090410
APpapgeend4ix K 0U9pp1e7r1s4s4w 000176021058235 001568
001569
SMooudrecle ErCtToorul SLoaucrkcoef.Fit TPoutraelEErrrroorr M0.a5x06R8Sq TIontrenrcept YGERNSDCEHRE(FM-M) SGoEuNrDceER YRSCHEM
CheAmliPcaarliGcippaarnattsors
RSquure SIunmPmFaHrSypofpFmit RRoSoqtuaMreeaAnd)Square Error OMbesaenrvoaftRieosnpso(norseSum Wets)
OF AnaSluymsoisfoSquVaarrieasnca
ol2
2157051768055492
a
42594602
OF SLuamcokfofSqFiut aes
3301
186273805096909
61
25016059
00..349132463984 10..2634005349
6 Mea8n7S8q9u2a7e
041010
Mea0n5S4q1u4a8r4e 0274335
21F 4R3at2i1o Probar <0001 F1R.a9t7i38o P0r0o3b2o9F
LEOsStiIm9at3e 0040435776554
PaSraWmEomtoorrEstimatteRsaio 00110333201572 1346457 0008941 499
Noam OF EftoctSuTomsotfSquaws
[(E --
15014955573367
r<o0b0s0I] <00000005
13F3Ra0i4o 248568
2L1ow9e0r2s4S7% 000528626899735
0P.r0o0b0o5F <0001
Appendix K Page 5 rUpepserossnw 00..016720415035
001570
MSooudrecle ECrTroul LSaocukrcoefFit TPoutraelEErrrroorr 0M9a8x0R7Sq InTtoermcept YGERNSDCEHRE(MF-M] AGE GSoEuNrcDeER AYRGSECHEM
CheAmlicPaarltiOcpiepraanttsors
`ISnuPmmOaArAy pofpFmit RSRqSuquaarree Adj MReoaont oMfeRaensSpqounasree Error Observations (or Sum Wats)
OF AnSaluysmiosfofSuVaarriasnce
63
159..23124503597
6
24530453
OF SLuamcokfoSfqFuitares
57 3
180845713190570
60
19.325057
021249 00516m7i5l2s5 06145263 Mean1S7q3u8a1r3e 032208
Mea0n3S3q0u7a2r1e 0157986
5F.R3a9i6i5o Prob>F 0.0024
2F 0Ra9ti3o P03r0o0b9
04E3s7m0a6l37o O[0003I1S302S2215 0004228
ParaSmWeEtmeorrEstima(tResao
00039516944458
123 341
00000099473435
154 045
Near OF EffectSuTomsotfSquares
ro oa
0377638738574097
roa
00647015
0Pr2o2b>2l4i 00.01021727 065%
11F.R6a0t53o 23856 02009
0L2ow7e1r9s3S9% 00.409074144832 0.023007
0P0r0ob1s2F 0.1277 06556
Appendix K Page 6 1Uplpaogr0csesrw 00.013240s340s7s 00146413
001571
SMooudrecle Error CToul SLoaucrkcofeFit TPoutraelErErrroorr Ma03x815R0iSq ITnotemrcept GYERNSDCEHR(EFM.M) GSEouNrDceER YRSCHEM
ChAelmicPaarltOipceipraanttosrs
ISnuPmOAmAaopfrpFmyit RRSSqquuairree Adj MeRoaont MoefRaensSpqounasree Error Observations (or Sum Wets)
OF ASnumaofloSfqyVuaasrriiaenssce
612
1953.81949765985
8 24539453
OF LaScukmooffFSitquas
330
144584409338709
61
19389758
Cstmale ParamSoUtoErMEstimaRtaetsio 002381772349779 00019107817328 324495 002509 0007871 159
Neam OF EffetSTuomsotfSquaes
1 roa
038807778184
0209854 005.16833799457 0614523
6 MoanSquie
023517748865
Mea0n4Sq7u1ar2e 0ISI346
FRatio P8r.o1b0s0F8 0.0008 F3R.a1t6i5o
ProboF 00011
P0r0ob1s7l1i L00o5wWo0r195%2 000107029 00.040939213016
1R20a99o7 P0r0o0b0o0F 25355 oun
PAapgpeen7 diKx UOpspre1r4s8s0w6 00.0123s5d6s8s8
001572
MSooudrecle Eror CTout SLoaucrkcoefFit Pure Error MToatxalAEsrqror 05025 ITnoterrncept YGRESNDCEHRE(MF-M) AGE GSoEuNrcDeER AYGRESCHEM
CheAmlicPaarltiOcpiepraanttsors
RSquare I`nSPuFmmOaSrAyAofpFoitm RRoSoqtuaMreeaAndjSquare Error OMbesaenrvaoftiRoensspo(nosreS:um Wgts)
OF AnSaluymsoisfSofquVaarrieasnce
63
15140.5635086052
6
165.1867
OF SLuamcokloSfqFuitares
531
134164.210458832
60
150.53065
00004838177325 14..52883699343
64 Mean4S8q8u6a0r1e
250884
Mean2S.q3u5a83r3e 536861
1F .R9a4t7i5o ProboF 01316
0F 4R3at9i3o ProboF 09106
52Es5i2m8a1l3e 00024132573 00265422
ParaSmWeEteorrEstima(tRosao 00295869264184 523013 00002267312989 116001
Near OF EffectSuTomsotfSquaes
[ro ET
160432562222976
oa
2549914
P<r0o00b1l 0010144687 03174
4.F1R2a6l3o 2Lo5166144
TLo2ws3r6954% 0-L0093749s3T6s 0026121
r0.o0b46s7 00.31117448
AppendixK Page 8 3U2pp7e4r0s2s3w 000010078976545 00792083
001573
Source Model Ermor C Toul LSaocurkcoefFit ToPturaelEErrrroorr 0M5a8x5R8sq TInotemrcept YGRESNCDEHRE(MF-M) SGoEuNrcDeER YRSCHEM
CheAmlicPaarltiOcpiepraanttsors
RSquare ISnuPmFmOaSrAyAofpFpimt RRoSoqtuaMreeaAndjSquare Error MeanofResponse: Observations (or Sum Wats)
OF AnaSluymsiosfoSfqVuaarisasnce
2 61
12.10810 15308056
6
165.18867
OF LSaucmkooffSFqituaes
3 30
84.6080 63.41976
6
15308056
43Es1t2i3ma0t4e 00042975506766
ParSaWmEeWteorrEstima(tResao
0329134 025533
-1310 194
002117 125
Noam DF EffectSuTomsotfSquares
rLo oa
934.384978540416
0073299 01058823911456 4.28694
64 MeanSquare
605405 250952
MeanSquae 273099 228066
F24R1at2i4o ProboF 0.0981
1F.R1a9t7i5o ProboF 03117
Probsfi <0001
Lowor95% 497049
0002517714 0-0L70107S9624
3F7R5a9o r0.o0b57s1 15535 02174
APpapgeen9dix K Upper95% 030615544185810 00166594
001574
MSoodurecle ErCrToorul LSaocukrcoef Fit TPoutraelEErrrroorr 0M9a9x6A2Sq ITnotemrcept YGRESNCDEHRE(MF-M) AGE SGoEuNrcDeER AYGRSECHEM
CheAlmliPcaarliOcppearnattsors
`SInumMm5a7r0ypofpmFit RRSqquuiarree Adj RMoeoatnMoefaRneSsqpuoanrseeError Observations (or Sum Weis)
OF AnSaluymsoisfSofquVaarrieasnce
3
7154483203609155
a
90253710
OF LSaucmkooffSqFiutares
573
705304864333596
75.430695
00..112624023397 1L94251644
6 Mea4n9S3q1u0a0e
125718
Mean1S3q1u7a2e7 01isss
R39a30o2 P0r0o1b2s6F 1R1a4t0i2o 0P0r3ob3o5F
laEsnti4mdat6e 0030330747769 0012926
ParSaUmEewtoorrEstima(tResat 00178010625732 117852 00001189623574 200619
Noam OF EffectSuTomsotfSquaes
1 FE
5401969100710793
Lo
06047597
P0r0o8b0l 00004780S 04906
3FR3a9ti8o 0440851600
2Lo6w2e3r9159% 0006797328839 0050205
0P0r7ob3s9F 00.40940865
PAappgeend1i0x K 0U1p7p8e3r0o6s5w 0-003.020802861s 00243593
001575
Source Model Error C Tol SLoaucrkcoefFit Pure Error TMoatxalRESrqror 0.5860 ITnotemrcept GENDER(F-M) YRSCHEM GSoEuNrDceE.R 'YRSCHEM
CheAmlicPaarltiOcpiepraanttsors
RSquare
SIunmMm5a7r0y pofpmFit
RSquare Adj
Root Mean Square Error
Mean of Response
Observations (or Sum Wes)
OF AnaSluymsoisfSofquVaarrieasnce
2 [1
14218255 76035455
6
90253710
OF SLuamcokfoSfqFuitares
31
38667300
30 6
37368155 6.035455
0.157537 0.129915 L166 1.94564
64 Mean Square
7.10913 124648
Mean Square 1.24733 124561
F Ratio 5.7033 Prov>F 0.0054 F Ratio
1.0014 Prob>F 0.4993
LE6sBtMmaTl4o 0343235 004655
Parameter Estimates
02S3W1E9M6o4r
tRatio 724
0.179949 00ISSET
191 299"
Nparm
DF
Effect Test Sum of Squares.
J ro
4.534934 11117067
Probsf| <0001 00612 0.0041
F Ratio 3.6382 8.9187
Lower95% 2148315 0.703066 007719
Prob>F 0.0612 0.0041
APpapgeend11ix K Upper 95% 1216632 0.0165953 0015382
001576
MSooduercle. ErCrToorul SLoaucrkcofe Fit TPoutraelEErrrroorr 0M9a8x2R3Sq TInotemrcept YGERNSDCEHR(EFM-M] AGE SGoEuNrcDeE.R AYRGSECHEM
CheAmlicPaarltiGcpiepraanttsors
SInuPmFmaOrSyAopfoFimt RRSqquuiarree Adj MReoaont oMfeRaenspSqounasree Error Observations (or Sum Wes)
OF AnSaluymsoisfSofquVaarrieasnce
3 21170988155336
&
219.0689
OF LSaucmkooftSqFiutares
57 3
2073.827093213
20108153
0000316147532 13887651674
6 Moan2S6q6u1a7r9e
350803
Mean3S6qu3a1r3e 129308
R0a7t5i66o p0r5ob2s9F F2E 8Ra1t1i2o P0r2o1b4o8r
3E0sti8ma2te O0018261 0013 Noam[a
[[aI
ParSadmEemteorrEstimatteRsalo 0L3I03T87A4 023693 0000331210786 004930 DF EftoctSuTomsotfSquaes
2085346568106907 06625603
0Pr0o1bs0i8| 00635718 06659
F0IRSScI 00.81086833
5L4ow2e6r79655% 00702973533417 007582
0P9ro5bs1F 0063675298
PAapgpeen1d2ixK 0U7pp4e0rnsessw 0004385851044669 00488320
001577
SoMuordecle. ErCrToorul SoLaucrkcoef.Fit TPoutraelEErrrroorr M09a8x2R3Sq TInotemrcept GYERNSDCEHRE(FM-M) AGE SGoEuNrDceER AYGRESCHEM
`ChAelmiPcaarltiGcpiapraantlsors
ISnuPmmFaOrSyAopfoFmi RsRqSuquaarree Adj MReooatnoMfeRaenspSqounasree Error Observations (or Sum Wes)
OF AnSaluymsoisfSofquVaarrieasnce
63 21170988155336
&
219.0689
OF LSaucnkooflFSiqtuaws
57 3
207.2031 3.87923
3
21108153
0000316117532 31.887651671
6 Mean2S6q6u1a7r9e
351803
Mean3S6q3u5a1r3e 129308
R0a7t56i6o probsk 0529 2F8R1a1t2o p0r2o1b4o8F
30f8st3m5a5l2o 00012189261 0013 Nparm[a
[LIo
ParSaWmGeEtmeorrEstima(tResao 0L3I073I847Z44 023693 0000332U2T068 004530 OF EffectSuTomsotfSquares
2085346568106907 06625603
P0r0o1b0l8 0036195218 0665
0FIRsaStIo 00.81086833
L5o4w2e6r7s6s6% 0721531 000079538427
OPgroobssF 0063675398
APpapgeend1i3x K 0Urppaeornorssw ossides 000034535809926
001578
MSooduercle ErCrToorul SLoaucrkocefFit TPoutraelEErrrroorr 0M5a2x4R0Sq TInotemrcept GYERNSDCEHRE(FM-M) GSoEuNrDceER YRSCHEM
CheAmliPcaarltiOcpiepraanttsors
SInuPmFmaOrSyAopfpFmit RRSSqquuairree Adj MRoeoatnMoefaRneSsqpuoanrsee Error Observations (or Sum Wes)
OF AnSaluymsoisfSofquVaarrieasnce
612
21177328248009
& 219.0668
3O1F
LSaucmkooffSqFiutares 107.46461
6310
2110147247490498
00.000313743267 13886631172
6 Mea3n6S6q1u4w0e
347121
Mea3n4S6q6u6w0e 34758
R1a0t5i48o P0r3o5b4s5F R0a9t97i3o P0r5o0b3o7r
35Es6t2i9ma6t8e 0001337300549
NeamTo [I
ParSaWmEemtoorrEstima(tResao 0033080720094 094240 0026012 42 DF EffectSTuomstofSuaes
706081S36T08
P<r0o0b0slf 0016559933
0F1R9a6i3o 2098
4Lo3w1e0r91S5% 000783037532
0P6r5ob9s3F 0.503
PAapgpeend1i4x K U3pp3eirssosrss 004061744935242
001579
`SMooudrecle Emo
CTotal LSoaucrkcoefFit PTuoruelEErrrroorr 0M9a9x7R4Sq InTtoermcept YGERNSDCEHRE(FM-M) AGE SGoEuNrcDeER AYGRESCHEM
CheAlmliPcaarltiOcpiepraanttsors
RSquare `SInuMmm5a8r6ypofpmFit RRoSoqtuaMreeaAndjSquare Error Mean of Response Observations (or Sum Wats)
OF AnSaluysmiosfo SVqauriaasnce
3 6
10282420 65590476
6
5.87289
OF LSaucmkooffSFqituaes
57 3
65396881 0.19359
6
65590476
00.019325259282 1.04555 "3.10248
6 MeanSquae
342747 L937
MeanLSIqAuaLo 006453
3F.R1a3t5i3o ProbsF 00319 F17R.a7t7i9o0 P0r0o1b7s7F
27Es6t5i8ma7t3e 000336063298 0006153 Npam
[rIo [a
PaSraWmEemteorrEstima(tResao
0653 016939
424 216
0017954 0017379
169 035
DF EffectSuTomsotfSquares 3S.211317681 0137028
Prob <o00l 0000935476 0.7245
4F6R7at5i7o 0218265532
Lower95% 4072068 00700656131014 0040916
0P.r0o3b4s6F 0070294557
AppendixK Page 15 Uppers 1.459679 0.027448 0005523 00286099
001580
MSoodurecle ErCrToorul SLoaucrkcoefFit TPoutraelEErrrroorr 0M6a1x9R9Sq ITnotemrcept YGRESNCDEHRE(MF-M) SGouErNcDeER YRSCHEM
CheAmliPcaarliOcpiepraanttosrs.
Rsquire SIunmMm5a5r5ypofoFmit RRSoqoutaMreeaAndjSquare Error OMbesaenrvoaftRieosnpso(norseSum Wits)
OF AnSaluymsiosfoSfqVuaraieansce.
2 6l
6150712475530951
6
75872896
3O1F
SLuamcokfoSfqFuitares 36884521
3610
6258782472590854
00..110353371136 130.3180204287
6 Mea5n0S7a2u1w0e
LO7750
Mean1.S1q8u9w8e2 096143
4F 7R0at7i8o 0P0r1ob2s6F F1R.a2t3i76o P0r2o8b0s7F
29Es8i3ma9l8o 00023430921
Neam[a [E
ParaSmUoElmoorrEstimattReaslio 00126175360678 -2123834 0014492 235 DF EffectsuTomsotfSquaes
55936649463313
P<ro0b0s0lll o002a98
4F9R5a3i1o 5536
L3o4w1esrl9sss% 00.0066390078
0P0r2o0b8F 0219
PAappgeend1i6x K Up3pSorroesew 000005317182
001581
APpapgeen1dix L
Appendix L
Regression
equaAtlilopnaortfifcilpuaonrtocchuermreinctaljoobn
engineer/lab group (n gender, years worked
= 37) in chemical
and
age;
followed
by
regression
equation
of
fluorochemical chemical
on
gender
and
years
worked
in
001582
MSooduercle CETrroour l SoLaucrkcoefFit PTuortaelErErrroorr 0M9a8x7R8Sq ITnotemrcept YGERNSDCEHR(EFM-M) AGE GSEouNrDceER YARGSECHEM
AlElngPianrteiecriipLaanbts
`ISnuPmmFaOrSy pofpFmit RRSSqquuaarree Adj MRoeoatnoMfeRaenspSqounasree Error Observations (or Sum Wets)
OF AnaSluymsiosfoSfqVuairieasnce
n3
21.4417613768508
3
36635438
OF LSaucmkooffSFqituies
2 1
20.04546166128
3
2471780
00..338360681418 0089245023035
37 MeaanSqnuwe
06896
Mea0n6S8qu8a2r8e 0446618
F6R9a3lm P0r.o0b0a1r0
1F 5R4a11l P0r5o7b3o5F
20Es7t1i3ma4l2o 0004I3849246366 0046474
ParSaimGeEtmeorrEstima(tResao 0018655900128 226424 0000221664932 005857
Noam DFEffectSuTomsotfSquaes
L[o It
046561692365779
Lo
02089349
P0r0o2b0l4 0003183338 05834
6F8R5at2i5o 0037066287
3L8ow0e1r0S3s5% 00072M581I8S8 0039152
0P0r1ob3o3F 00358888
Appendix L Page 2 U0papdeiresrssw 000069360775573 006844es
001583
MSooudrecle Ermor
CToul LSaocurkcoefFit PureError TMoataxlRESrqror 07264 InTtoermcept GENDER[F-M] 'YRSCHEM SGoEuNrDceER YRSCHEM
AlEngPairnteiscirpiaLnatbs.
ISnuPmFOmSaopfrpFmyit RRSSqquuaarree:Adj MReoaont oMfeRaensSpqounasree:Error Observations (or Sum Wgts)
OF ASnumaofloSfqyVuaasrriieasnsce
42
2123698504771253
3
36635438
OF SLuamocfkSoqFutitares
11s9
112060528161022
3
22680715
003.34840499018 081675 -094033
3 MeanSquare
606967770386
Me0a.n6S6q6u2a4r2e 0668141
1F0.Ra4t5i9o ProbsF 0.0003
F09R9at7i2o ProboF 05100
LEestilmaate 0439047 00293537
NeaFI [I
ParaSmGeEtmerorEstima(teRsao 0012630998228 276782 0010721 274
OFEffectSuTmesotfSquares 47819718 SO008180
P<r0o00bIl 003 00098
7.F1R6a8o5 7.4966
L2o0w4e0r591s6% 0772296 00075663
0P0r1ob1o3F 0.0098
PAapgpeen3 diLx U-p11p3e99r0s6 0105797
00SII41
001584
MSoodurecle. ErCrToorul SLoaucrkcoefFit TPoutraelEErrrroorr M09a8x9R5Sq TInotemrcept YGRESNCDEHRE(MF-M) AGE SGoEurNcDeER A'GYRESCHEM
EAnllgnPaerotircLiapabnts
Rsquire `ISnumPmFaHrSy pofpFmit RRoSoqtuaMreeaAnjSquare Error OMbesaenrvoaftRieosnpso(norseSum Weis)
OF AnSaluymsoisfSoqf uVaarrieansce.
33
2340562519787883
36
5.181656
OF LSaucmkoolfSFqituaes
32 1
300054738701586
5
30621774
00..340445602753 092653927953
37 Mean8S1q8u6a6r3e
092793
Mea0n9S3q8u8a6r6e 057806
8F 8R2at0i4o P0r.o0b0o02F F1R.a6i2i6o2 P0r5o6b1s6F
AEiOmaSle 0C0O2S5666007S5S 0018228
Neam[a rLoo
ParaSmWeEtmeorrEstima(tResao 00.919923464674 42912 00002350382618 016011 DF EffoctSuTomsotfSquaes
709924704197341 03487090
P0r0o0b0l2 000301622 0541
8F5R4al2o 013072578
6L0ow9s7r19257% 00906205096059 0043879
0P0r0o6b2o 0053414912
APpapgeend4ix L U5poSpooaessry 00.017712103445 00817245
001585
SVoEiudrnec!e Toa LSaocukrocreFi FVTuaorxlREEsrnoer os GTIEonNrmDeEepRt(EM) RSCHEM SGoERuNScDCeEHREM
AEtnpaarniocrpiaanins
Rsqure SIunmPmHaSpfoFm
ors
MRReoqontuoMaefeaARnedSsjqpounasree Er
003o304r347s049
Observations (or Sum Wats
3
oF2 ASnuamPolorrfyvSiaasrnimiassnsce MeanlSouswee
a 30570483
05100
iPFrsroowisnor
% Ss.s16s6
Soon
OWFs LSaicmkoTtiSFaeqimms Mean2S0u5a1r5e F2r5i6o
i3s [20r9a70r485 05813 rGeosr
SEsiumme |PaorSaEmaevteonrrEstimaRlteeas xi Pcuobll O06 oie 299 om
Laoweorsesk aoe
OURS 00228 312 oan core
NoamToOFCEtoctSTuomstosrsiwesms
io
SEs
osForRamoloe
OoProooovor
Appendi1x,
Page 5
TUppomrasn oermm
001586
Source Model Error C Toul SoLaucrkcoef Fit Pure Error Total Error 0M9a6x4R2Sq Torm Intercept GENDER(F-M] YRSCHEM AGE Source GENDER YRSCHEM AGE
AElnlgPianretaicriipLaantbs,
In POAA ppm RSquare. `Summary of Fit RoRSoqtuaMreeaAndjSquare Error MeanofResponse. Observations (or Sum Wats)
OF AnaSluymsoisfSofquVaarrieasnce
3 3
12.006567 27333536
36
39.340103
OF
Lack of Fit SumofSquares
2 1
25.926287 1.407248
33
27333536
0305199 0242035 0910104 "162112
37 Mean Square
4.00219 082829
MeanSquare 081020 1.40725
FRatio 4.8319 Prob>F 0.0068 FRatio 0.5757 Prob>F 0.8031
Estimate 2930403 0521939 0002985 00256936
ParSaWmEemteorrEstima(tReasll
0937648 0.182971
3.13 289
0023923 0.029164
0.12 088
Npamn DF EffectSTuomstof Squares
To J
68958131 00129048
[I
06428967
Probslii 00037 00068 09014 03847
F Ratio 8.3254 00156 07762
Lower95% 4838141 0900194 0051658 003364
Prob>F 0.0068 09014 0.3847
Appendix L Page 6 Uppor 95% 1022846 0.155684 00456859 00850277
001587
Appendix L Page 7
SMooudrecle Error C Toul SoLaucrkcoefFit TPoutraelEErrrroorr 0M7a2x6R9Sq ITnotemrcept GYERNSDCEHRE(FM-M) GSoEuNrcDeER YRSCHEM
AlElnPgairniocoiraLnatbs
SIunmPmOaArAy pofpFmit RSRqSquuaarree Adj MeRoaontoMfeaRnesSpqounasree Error Observations (or Sum Wes)
OF AnSaluymsoislSofquVaarrieasnce
32
21.1937663467312
36 39340103
OF SLuamckolofSFqiut ass
19 Is
1107724341592048
u
2.976432
0.288857 00920477100235 "Lez
37 Mean5S6q8ua1r8e
08228
Me0a.n9S0q6u9a43e 071632
6F 9R0a5i2o Probar 00030 F1R.a2t6i61o P0r3o2b4o9F
ZEIsiTmaAlo 000I5S32672496
NeamTo [I
ParSaImGeEtmoorrEstimaRteas o 00128231223431920974 00107 128 DF EffectSuTomsotfSquaes
7L133448589
P<r0o0b0ll] 002000882
8F6R7a1l1o0 Lets
2L6ow0e2r1S259% 00.900068490236
0P0ro0b5s8F 020m
Ueppsesreossw 00-30.91467612715
001588
MSooudrecle Error CToul LSaocukrcoefFit PuTortealEErrrroorr M0a99x9R8Sq ITnotemrcept GENDER(F-M] YRSCHEM AGE SGoEuNrDceER YRSCHEM AGE
AlEngPianroiecriipLaantbs
InSPuFmOSmAaAorfpFpyimt RRSSqquuaarree:Adj RMoeoatnoMfeRaensSpqounasree Error Observations (or Sum Wets)
OF ASnumaolloSfyqVausraisianscse
3 3
11836056 53456962
36
65293017
OF LSaucmkooffSFqutares
2 1
53443235 0013726
n
53.456962
0.181276 0.106847 15..26752672586
37 MeanSquare
394535 L6I9OL
MeanSquae LET0I0 001373
2F4R3at5i5o ProboF 00822 12F1R.6a7i4o2 Prob 00717
Estimate ParSaWmEetmeorrEstima(teRsao
O3S67711894393
1311276 025588
222830
00270165 0063657
0033456 0040785
081 156
Npam DF EffectSTuomsotfSquaes
J Lo
80905950 10563257
[It
3546258
P0r0o0b8l4 00323 0.4251 0.1281
4F9R9at4i5o 0264532611
L-o6w3e4r5d7S27% 1092437 -004105 0.146634
r00o3b2s3 00.14228511
APapgpeen8 diLx U-p1p0olr0o1s3w8 -00Si26l 000.105935109893
001589
Source ErMroodrel C Toul LSaoucrkcoef.Fit PToutraelEErrrroorr 0M.a6x09R7Sq ITnotemrcept `YGRENSDCEHRE(FM-M] SGoEuNrcDeE.R YRSCHEM
AEllngPairniccairpLaantbs
Rquire ISnuPmFmOaSrAyAofpFpimt RRSoqoutaMreeaAndjSquare Error OMbesaernvoaftRieonsspo(norseSum Wets)
OF AnaSluymsiosfoSfqVuaarieasnce
u2
577..488093729270
3
65293017
OF SLuamcokfoSfqFuitares
1is9
3251.94281102946
3
7.403220
0.120837 010.26999132518 5.65628
3 Mea3nS9q4ua9e
L683)
MeanLS6qSuOaIrIe L697
2F3R3a6i6o ProboF 01120
0F 9R8at9i0o P0r5o1b6o6F
APpapgeendix L
EE6s0tm6at6e 0OS0S8L2I2S58
ParaSmUeEtmoorrEstimatteRasllo 00323620984717 1271010 0017056 LOT
Nam OF EffoctSuTomsotfSquaes
1 [I
7159325708404460
P<r0o0b0Il 0020942280
4FdRsallso 11418
L6o.w3s3r698s79% 108121 0052886
0P0r4ob2s0F 02928
Upopegrasgessw 0020995 0oloass
001590
Source ErMroodrel CToul LSaocukrcoefFit PTuortaelErErrroorr 0M9a9x7R1Sq InTtoemrcept YGRESNDCEHRE(MF-M] AGE GSEouNrDceER AYGRESCHEM
AEnlgPianreteirciiLpaanbts
RSquare: ISnuMm57m0paopfrmFyit RRoSoqtuaMreeaAndjSquare Error MObesaenrvoaftRieosnpso(norseSum Wyts)
OF AnaSluymsoisfSofquVaarrieasnce
33
320374697560338
36
BTA
OF SLumaofocSfqFkiutares
32 1
32253360 0096143
32349503
2F4s8i2ma5l7e 0125208 0O00004I7S33678
Noam F[Ea ro
ParaSmWeEtmeOrrEstima(tResa.o 0.L1O9X90563 304613 00.003216702276 001056 OF EflectSTuemsotfSquares
000308374816941017 002185078
0023179 02.090960506925 "3.19558
37 Mea0n2S5q5u8a7r9e
0980288
MeanSquare 0L0O9O69124
R0a2t6i1o0 ProboF 08529 F10R4a8t3i5o ProboF
0.2406
P0r0o0b1l7 SLoSweer9S5% 009553373 00.503501148113 0882 0059812
FRalio 03957
ProboF 05337
00035 00223
09533 08822
APapgpeen10diLx pUpapoemroossw 002.709474635639 0069285
001591
Source Model Error C Total Source LackofFit Pure Error ToMtaaxlRESrqror 03233 Tom Intercept GENDER(F-M] YRSCHEM Source GENDER YRSCHEM
AEllngPianrteiacri/pLaanbts
SuInmMma7r0ypopfmFit RSquare. RSquare Adj Root Mean Square Error MeanofResponse. `Observations (or Sum Wats)
OF AnSaluymsoisfSofquVaarrieasnce
2 34
0.745787 32371354
36
3.117141
OF SLuamcokfoSfqFuitares
19
9.959941
15
2411413
34
32371354
002252 0.03498 0975755 3.19558
3 Mean Square
0.372894. 0952099
Mean0S.5q2u4a2r1e 1.49409
F Ratio 0.3917 Prob>F 06789 F0.R3a5t0i9o Prob>F 09833
Estimate 3335748 "0.126747 00049036
Noam ro
PSarUamEetreorrEstimatteRastio
0250023 0.195906
-1334 065
0.012608 038
DF
Effect Test Sum of Squares
oa
039853117 013955278
Prob>l| <0001 05220 07042
F Ratio 04186 0.1466
3L8ow4e3r89552% 0524874 0021125
Prob>F 05220 0.7042
APapgpeend11ix L 2U.p8p2e7r694s4% 02713797 00309325
001592
MSoodurecle Ero C Toul SoLaucrkcoefFit TPoutraelEErrrroorr 0M9a9x5R8Sq TInotemrcept YGRESNCDEHRE(MF-M) AGE SGoEuNrcDeER AYGRSECHEM
AlElnPgairntoiecri/paLnatbs
RSquire SInuPmFmaOrSyAopfpFimt RRoSoqtuaMreeaAndjSquare Error `MOebsaenrvoaftiRoensspo(nosreS:um Weis)
OF AnaSluymsiosfoSfqVuaarieasnce
33
8612.59652395467
36
88210203
OF SLuamcokfoSfqFuitares
2 1
85.888903 0.367353
3
86256256
0022151 10.06616677343 57372
3 MeanSquare
026615318332
MoanSquare 268403 036735
0F 2R4at9i2o Prob>F 08613 F7.R3a0t6i4o ProboF
02861
55Es2t3i4ma5t6e 0002139491517189 000946
ParaSmWeEtweorrEstima(tReastio
0136625560634
332 072
0042498 00SI808
047 0.18
Neam OF EffectSuTomsotfSquares
[I Lo
13560164 05764525
[Et
00871452
Probslil 0002
Lower95% 891253
0064471678 00402676157014
08562 0.114862
0F5R1a8i8o r0.o4b76s4 0002230353 00.68451672
APpapgeend1i2x L Uppergss 0.18935436955 0.00.9150962692
001593
MSoodurecle. Error CToul LSaocukrcoefFit TPoutraelEErrrroorr M07a3x6R9Sq InTtoemrcept GENDER(F-M] YRSCHEM SGoEuNrcDeE.R YRSCHEM
AElnlgPnaretoirciipLaantbs.
Rsquare ISnuPmFmOaSryAofpoFimt RRSoqoutaMreeaAndjSquare Error OMbesaenrvoaftRieosnpson(osreS:um Wits)
OF AnaSluymsiosfoSfqVuaraieansce.
32
8613.84636480022
3%
88210203
OF SLuamckofofSFqiut aes
1I9s 2362.10309211911
*
86343102
0000231614623 1.s59m35n85
3 Mea0n9S3q3u4a0e
253951
MeanaSqmuaere 154695
R0a3t6i7o6 P0r6o9b5o1F R2a0ti4o P0r.0o6b8r9
SEBsiIm0al3o 0237186 0012347
NpamTo [I
ParaSmdeEtreorrEstimatteRsaio 0043018939152 1402754 000918 063 DF Efoct STousmtofSquaes
L13O9I5G6S14465
P<r0o0b0ll L6o6w4e7r89653% 0054361326 00.401239022775
0F4Ra9li%o 0P.r4ob6s3F 04003 0.5312
APpapgeen1d3ixL 4U9pp8o8r2o1s2w 00.0857537949476
001594
MSoodurecle ErCToorul SLoaucrkcoefFit TPoutraelEErrrroorr 0M9a9x9R5Sq ITnotrenrcept 'GYERNSDCEHRE(MF-M] AGE SGoEuNrcDeE.R AYGRESCHEM
AElngPianroiscripiaLnatbs
Rsquare SIunmMm5a5r6ypopfmFit RRoSoqtuaMreeaAndjSquare Error OMbesaenrvoaftRieosnpson(osre:Sum Wets)
OF AnSaluymsiosloSfqVuaarieasnce
33
445880170770636
36
50618468
OF LSaucmkoolfSqFiutares
21
404072851795458
n
44807703
0.114795 0L01364s325212 4.6196376 Mean1S9q36u9w2e [EET
Mea1n3S9q9u44e 002575
1F .R4a2t6i5o 025%
54F 3R3at6i6o ProboF 0.1071
TE0st0im3el9e 0001405399425 00719096
ParaSmUeEtmeorrEstimatteRasllo 01223040256177 S08434 000033703643 115903
Npam OF EftoctSuTomsotfSquares
1 [a
0302565701194714
[I
50357474
<Pr0o0bs0llll L9o.w44esr85M%4 0016463012 00.518008523682 00628 0004059
0F1R9a6i8o 0P6ro6b0o2F 2372058070 00.01642381
APpapgeen1d4ix L 4Up5p6e0r9d2s4w 000316732762934 0.147879
001595
SMooudrecle CErmToorul SoLaucrkcoef.Fit TPoutraelEErrrroorr 0M3a7x3R2Sq TInotemrcept YGERNSDCEHRE[FM-M) GSoEuNrcDeE.R YRSCHEM
AEllngPairntaiocirpLaanbts
`SInumMmSarsy pofpmFit RsRqSuquaarree AQ) MRoeoatnMoefaRnesSpqounaser:e Error Observations (or Sum Wts)
OF AnaSluymsoisfSofquVaarrieasnco
u2
490874753041580
3
50618468
OF SLuacmkooffSFiqtuas
i1s9
3118712193589582
3
49843450
000.1054321611 14.62110976768
37 Moan0S3q8u7a5r1e
146598
Mean0S9q5u3a3r6e 21531
F0R2a6t4i3o P0r7o6b9o3F
0FaRsat0i7o P0r9o4b8o6F
AETsGtiAm6atLe 000102S7I269159
Noam[I Lo
PaSraGmEemteorrEstimatteRsaio 00234130029434 1055326 001893 032 DF EffoctSuTomsotfSquares
O04I0S1i9A62T2I3
P<r0o0b0l1 007640733
0F2R7al4l2o 01055
5Lo3w0e4r5S4s8% 000223711366
0P6ro0b3s0F 07473
PAapgpeen1d5ix L U4p1pe3r35s7s4s 0003367647620509
001596
APpapgeend1ix 1
AppendiMx
Scatterplots`m(aalnedcrheegmriecsaslioonpse)roaftofrlsu(onro=ch5e2m)icaanld leenvgeilnseoefrfallalbch(nem=ic2a8l) participant with years worked in chemical
001597
w foetssH psas,cos hnseeng
1
.
Lt
w nwdd pZ . :T s E .
AppendiMx
Page 2
Ean
2sam] TT wo T
w-- enit
RiIsnqpureoSdem -S03o6s8n5roymboai
vRSCHEM omen
RReoomtoo hagenre Err Cronosum Wg
fSrroenoesd FH
EsSootme
or;
rPsEta RvaUra alms
sooS meem G eeare
TH Ho
Sn
TTeoemsn
oCcltuoimasse PGoSaovrTpemSinarTEUmRu30E03s boonenaysl iooommwreiusosn uTbpoeownn
001598
In PFOSdippm = 0.07855P+ol0y.n0o8mi7a1l3 FYitRdSeCgrHoEe=M2- 0.00255 YRSCHEMA2
Require `Summary of Fit
0.152148
RSquare AQ) Root Mean Square Error
o117se2 0630532
MObesaenrvoaftiRoensspoonrseS:um Wats)
0.49465528
SMooudrecle. Error C Toul
OF AnaSluymsiosfoSfqVuaarieasnco MoanSquae F Ratio
92
139..449850896384
174793 039757
4.395 Prob>F
st
2.976802
0017s
TInotemrcept YRSCHEM YRSCHEM"2
Estimate PaSrEamreoterr Estim(aRtaetsio Probsli 000087781535421 000313685739 205478 0060133682 0002546 000129 207 00436
L0ow2e5r39751% 000.10005502166
APpapgeen3dix M 0U4p1p0e8r194s1w 001050502017567
001599
wao irsnco, mns
5
w
aa
05
.
*
.
:
=
2
vr
:
AppendiMx Page 4
an" TTT- TR
rhnie
sKP qo N. EAL
F-- oJm
BAT)bSoncdrewee
Swee2
oSsouoe
o5rTS
J VERSES alm
LMMeemsmme
furomawee
Sa Bo uu
a
yT2omn
SrCHoEimRe OpSSEESREeSonNM Tm olvemn puriese
001600
In PFHSdfpp=m -1.7114P+ol0y.n1o0m0i7a8l YFitRdSoCgrHoEe=M2- 0.00215 YRSCHEMA2
Rsquare `Summary of Fit
033383
RRoSoqtuaMreeaAnd)Square Emor
00.360460673759
`MOebasenrovaftRieosnpso(nosreS:um Wis)
"1.06736 52
SoMuordecle ErCrToorul
OF AnaSluymsiosfoSfqVuarwieasnce MeanSquwre Ratio
2 9
10082003 20119012
504100 04109
122774 ProboF
st 30201015
<0001
TInotemrcept YRSCHEM YRSCHEM"2
Estmalo ParSaUmEemtoerr EstimRaattoiso Probl
0T10U07T79
0010638402296
-1019 293
0<000002l
0002155 0001240 173 00908
L2o0w4e9r19056% 00000436625
APpapgeend5ix M 1U3p7p1o3r7S8s7w 00..10609093657]4
001601
MaielooCAhAaAomaamr!ic5ppaaRsntosCrs E =
APapgpee'sndiMx
SVoidee! ECmoeur Tneormept VRSCHEM
E wo,ST
FER
te
=i
an
C3 w8ou886 8s
m-- Ftit?
InP=0OS55uU7mnA1em5a+aorA0fFr0Py1t6P91YpRSCmHEM
RRSsqquuaarree AG
o00o50r6
RoMoetanitaRneSsqpuoanriee Err Observations (orSum Wis)
0o7s3i9s771s9e 2
os0ir1 0EoSin o0lOmI
A"nSiamleolfyVSoaussrmieieanssce 13r3a00t52)2
GPSadrIEammReotrer Esti(maaStl1ee3s 00075 224
MemLSq5u0w8s 020
Fsaoao Probor
002%
Pcrooobll L0o3weprldss% 00s 000IISI
oUppseroess cos
001602
Term Intercept YRSCHEM YRSCHEM~2
InPOAAppm
=
0.30559
Polynomial + 0.10002
Fit dogroe=2 YRSCHEM -
0.00313
YRSCHEM"2
RSquare `Summary of Fit
0.26762
RSquare Adj Root Mean Square Error
0237727 0467638
MeanofResponse: `Observations (or Sum Wats)
0739719 52
Source Model Error CToul
OF
Analysis of Variance SumofSquares Mean Square
F Ratio
2 o
3.915590 10715579
1.95779 8.9526 021869 ProbF
51
14631169
0.0005
Estimate PaSriaEmemtoerr Estim(aRtaetsio Probl
03055886 0122625 0I000IS7 0025126
249 00161 398 00002
0003133 0000911 344 00012
LowerS5% 00591644 000.04094592665
Appendix 4 Page 7 Uppor9s% 05520129 00.010510350028
001603
AppendiMx
Page 8
JI i ram
anf P
ES
ia ETT
"an
TT -- T
HIn PieOS=TAI leA0ns2I57oYRSCmaHErMa
SRoeoaeteoagnqoeuneSuEmrWeet
Srtionne 2
smtp vases
pF=oM `Source
O30F: SumofLmSSqimuaar]mens aMiele MeanSquare apFfReahoteiedo
[Tomi en
GSfoioisgmasee
cr SuHm EauEe oom Ae
iasnetdn
Lalonaarmomon
Uoupppoweornss
001604
pr
Page 9
whcell,
"w
.
EE] oo 50
ot JZ . :
gmwrei,mg A "rs esrosrmn
pSo R ee Root MeanSquareError
es2 1.189837
m p pmeo7 gr EmTVEREaEEE AnalofyVasriiansce eTAmR OwwE=m
wwfommal. fdveosmm STBETEtErEcROrT wvOoDnnE owTHnmE oWumRm
001605
ar s Hrow -- e,,
mR,
oo >
So
--
Endl
wT el,
nm TT wo~ TS
rls AppendiMx
RIioPqueroSSoSmw3Aa0nndaotttespRmSCH=E-M
NoetohlaogeEe Chain tum Wee)
oYEorvoeon] 2
fHsoocso
o0r:
tVieASrIhvSas aes
eMieim
srSeaheee
Ena 3 nae
eed
Tiaodmcll
GSfoumwEsne SoSamnSHamtEnerStnh 1e%n e pcoeon ooemmlece Ucppoemrmeenesn
001606
worn aetee
----
AppendiMx Page 11
TT va T
rKogeuem, wesa rosis In M55 =-6 2.63d 95-0f .03p 15YRp SCHm EM
Bomn AeTSa--s
aieh"
E sm we T go3r
SwCRaEamLvmEso ues
crwuelenms
oewoneooa
iEo
SA coerwse SScEEEtEsR omyy smmenm gvomr
001607
J,
ww
2
s
2 29 "
`AppendiMx Page 12
sre
nEpomEa)
a te
Fn
aEopeaEnt
Er pr 3
SE Sa w LBEa aBlumm Source:
OF
`Sum of Squares.
kEey Mean Square
eiy F Ratio.
i.
Gumse EA SE py re wren
001608
In
PFOSdfppm
=
-1.6361
Polynomial + 0.13222
Fit degroo=2 YRSCHEM -
0.00282
YRSCHEM2
RSquare `Summary of Fit
0307474
RSquare Adj Root Mean Square Error
0252072 0.845086
M`eOabsnerovfatRieosnpso(norseSum Wats)
066143 2%
SMooudrecle Emor
CToul
OF
Analysis of Variance SumofSquaes
MeanSquare
F Ratio
2 25
7.927078 17854250
396354 071417
55499 ProboF
2
25781328
00101
TInotemrcept YYRRSSCCHHEEMM~2
Estmale ParSaWmEemtoerr EstimattRaetsio Probst
L663 0.132248
0336297 005379
487 <0001 247 00206
0002819 0001489 189 00699
2Lo3w2o8r7S253% 000.02025088835
APpapgeend1i3x M -U0p9p4e3r5903s 0020402032646646
001609
AppendiMx
Page 14
MalAolPEanrgtiincoieparnitLsab InPFHS pom By YRSCHEM
9
:
asd,
"
EEER PA
E: af
.
. aN .
"9 Pos om oH BoB Bw wo
MSooudrecle ErCrToorul TInotemrcept YRSCHEM
-- lit -- Fad La?
InPFHSdfppm = 2.L9i5n2ea2r+F0it.04106 YRSCHEM
RSquire SummaofrFyit
0243114
`RRSoqotuaMreeaAndjSquare Error
00927184005083
Mean ofResponse: Observations (orSum Wis)
22324 28
OF ASnumaofloSfqyVuaasriraienscse MeanSquare FRatio
2|
278.79188571961
079958686709 P8r3o5b1>3F
7
32.860307
00077
Estimate PSardaEmmeoterrEstitmRaatleso Probl 0024910552821 00031104221098 925829 <0000007I7
3Lo5w8e9r9857% 00LISSAL
-U2p3plo4rs96slt 0.070262
001610
PotmFiodrogsooa=2
In
PFHSdfppm = -3.57+13
RsRqquiureeAdj
S0.19o973 YmRoSaCFHiEM
-
0.00454 YRSCHEMA2
o04s0s0s0o8n8
RMoeoaMnetaRnesSpqounasree Eror Oervaions (or Sum Wits)
fExrtioen EF]
NSoodurece
or>
AMeamoyoifvSasarimaesnce oss
MemTSwawee
lRoaoos
EnCreorat n5 5123836304757097 079% paaonst
ITnamept
SEsSme [ oSusEmsor--1R0asli Po<onnil Lowsorrssss
YYRRSSCGHHEEMN2
0010907%4 a00u0ss 330720 00000H8 00000M%
AppendiMx Page 15
Uopaperrss Goanoon
001611
`Appendix 4 Page 16
MaAlloPEanrgtiincoieparnitLsab
In POAAppTMBy YRSCHEM
=
z
mo
:
= En
3>
g
=
Ne
Fam
..
.
an Cos onn onows E wo
SMooudrecle Error
CToul TInotemrcept YRSCHEM
-- mit --Paw ae?
InP=-O1L.i6n4A o2a9+r FA i0t.018p06YRpSCHmEM
RSquare SummaofrFyt
0063628
RSquare Adj Root Mean Square Error
00.903257260123
MOebsaenrvoaftiRoensspo(onrsSeum Wats)
1326223
OF AnSuamololfSyVqasuraiieasnsce MeanSquaro Ratio
21
227153495617951
0L8s74s6109 P1r7o6b6>7F
2
24284865
0.1953
Estimslo PaSrGaEmrootrorEstiRmaatoos Probl 060482087729 0020916365286 515343 <0.010905l3
2L2ow5s2r59057% 0.009867
U1p0pe3r39156% 00459816
001612
Appendix M Page 17
TInotemrcept YYRRSSCCHHEEMM"2
In POAApp = 2.1643 P+o0ly.n1o5m1i6a9lYFiRtSdoCgHroEeM=2Rsquare `Summary of Fit RRoSoqtuaMreeaAndjSquare Error OMbesaenrvofatRieosnpson(osreS:um Wats)
MSooudrecle. ECrTroorul
OF AnSaluymsiosfoSfqVuawrieasnce
22
168205322620614
2
24284865
21Es6t4i2me8l7o O0I0S0I3G8E2T1s
ParSaWmEomtoorr Estim(aRteast
0331972 00S746
640 282
0001496 255
0.00382 YRSCHEM~2 00.21597805552 0".183429622936 2%
Mean3S0a2u6a1e3 R4a3t3i0o 072130 Prob 000
P<r0o0b0l1 2Lo8w6e0rS4S8% 0000721 000040069990712
1Up4p6e8r29256% 002.602030774717
001613
noalAroppaEoraripBgyaonvsPnCHEM
ad
:
i"
El
hPaogpee1n8di1x
J
Lo
TI A waRs Ee
InPFOSAAAfzpSmUa3n.e1ra4r1a1oii0nF0a164 YRSCHEM
RoRRoqokuvreeeaAnd uae ror
oo"oGma2niusezosrs
NeOtavamrovattiRoensspoonrseumWet)
San4
SVFoiouyee
or| A"SnhfosorfrVsyiaur]msa MenTsuhr Resatos 2 son Lenn per
Shoat 7 $2 tious
Gen
TVaRmmSeCnHtEM
SEImSo oPSaursatmemetrer EstiIimRLaatSels P<ohal Doles 0oms Oa oar
celooowsmrtmssee
oTUpspemrmas
001614
In MVSaTAloiopEPnapgrBmiiycepoYarnRitiSsaObHEM
"mn
:
mF
:
:Podwgew. ----Tt t
<n
:
PS 08woAs bE
Appendi4x
Page 19
In $70p=p3m.`1S8n0ue4ma+mr0oaF.if0rt0Fyi328YRSCHEM
RRsSqquurreeAd
000030615836
RoMeoatnoMfeRaensSpqounasreeError Observaions(or Sum Wats)
1"0223440915 2
SoMuodrecle
OF1
A'nSuanolfoSfyqVuasarriieanssce 0050840
Mea0nS5a0u8r4o
0F0r4a8iso
ECroral
72
2213248093135 108959 P0r8o2s7e5
TIonemrcept
SEIstiMmaSte
PaSrUamEeMtrer Esim(aRtaeso 03% 970
P<r0o0b0ll
L3ows8r9Ss%
aUpspiosroissk
YRSCHEM
00st ous 02 ofrs 00s oomsee
001615
In PEiOlASopoAErnas gByciYsnHSeCHEM
in .
-
.t
A
:
go-
fof
BL).--
Vin woass.
AppendiMx Page 20
InPR=OSLu6iS.nm0e7ma9Ar8aF+oirit0dF0yi14f64pYRSpCHmEM
RSRRqoquouaMrraeeAndjSquare Er
0"00016243612549
NhisearnvoafioRnessp(oonrsSeum Wee)
Sei=s
SNoiuocse ori AMenimaoSofirvsiaSzrminseoco MenoSuiise Floassoes
CBorw %7 sGaa2s3a0r5e2r8 20 P1o3o:4t
ITnRoesmpctEm
SEooMimm0d6o OPSasruaEimreostrerEtm1iaRt1ao8is Pcoololl Lmoweroosws eUproress Cols oma Oa 034 00m oosion
001616
TE nfidrspEo--nry --nviw
i"
.
of
JRaf TT
wd
N
TTToTo E
Aroepeandix
InM56 =S43a5a5r5 ryF00y057 YRSCHEM
RoRqtuee dy
o"mSoesnstss
NOReotomrt aMoeiaRonensSqpourarSeaEmrrWores)
Fr3 1.297208
Hsoourier
or" AnneaoSttveiaannsce Menoswswe FoRomc 6 anim ems pee
Eval Srna
fied
TTJosum chm
EGmTs CC[hEm---- Thare Poubnl Goo oss 0m oom
Lmooeowmms
p"aomrdeems
001617
APpapgeend1ix N Appendix N Scatterplotsfe(maanldercehgeremsisciaolnso)peorfatfolrusor(onch=em1i2c)aalndleevenlgsinocferal/llcabhe(mni=ca9l)participant with years worked in chemical
001618
onsAEE rE
os AppendiNx
.:
"1
RN
rNoepe 2 ertbe spornes
BreEN rie
acoope
w=oma or tTErhEEeR Tian oFhs
oRremo
Ste SroEtEi pt GEE mE ETE
iHonEs
uowa
001619
sgn
Page 3
=
1"
-
n --
z 17 .
15 ++
Se
fsinoEurersaS3o0ea8rspsesovcrmsoasmis
SSorbTieSgSeonwg
SraommAes
osoocze
o6rToSnmEutsduL vaaarmna rTwemeos 8 jm
aefcnossuee
i jroamd CSCoiomnhaoSammmEetETsmSeTeen Psoa rglhooaweesms tuppmresnn
001620
FomaAlaiChPaermiceiapaOnptesrators TM InPOAA pom By YRSCHEM
0"" TF . =
Eo
Eon as
20 ;
wWo
u+
PaAgpepe4ndiNx
In POAAppm =`0.LS3i2un1em4a8mr-oFa0if.rt0Fyi3t055YRSCHEM
RRSSqquuuirreeAdj RootMeanSquare Eror
o"o0m0s22is 0715366
OMbesaernvoaftRieonssp(oonrseSum Wt)
007200182
SMooudrecle
oF1
ASnumaolioSfyqVuasraimiaansco adsui
MeCasuurse
Fsreinos
ECrTroul 1i0 53s611734680298 sis P0r3o7b3o6r
TInoermcept YRSCHEM
03E2s1in4e1t9o
PaSrGamEomtrar Esti(mFaatlees OBI 095
P0r3o6v
oLowwelrdss%
Uvpepresrioos
003058 00328 09 036 0l036n 00ssa
001621
rm,
2
"am +
:
.
0
+
+
-
AppendiNx Page 5
001622
Fama AC1rpoamriecpaOpnesrators 1 0570oom gy= vse
1 Ne
ia
.
5
>
a)
v
| 5
wou
Appendix
Page 6
ESoVnuierercre Cou IYTnoRrSeCtHEM
Unoari
In570ppm= 2S.1u0m09m-a0o.rl0P3y7t1 YRSCHEM
RSquare
0.111759
ROboMRsoeSeqartuvnaMaortefeiaARonednsSjpqoounrrsSeeuEmrWoi)
a0T0m2a2i9w3n4 iH
oF| A"sSusmoooraSVsaamreamsneca Mem"OSswtween 10 S095 050305
PFhorwoieuor
1 frie
[34
2E0m0a00n oSPMaEriarsmoietrserEstiimRGaatlelsso Poroobml 0S 00M I 0:2
LoSowaoeorommssk
oeUpmpeoerorsw
001623
----
Page 7
re
m
-
|
J or
sn
ss
rss RsoEoue.
RSHEyogrevis eter
fo=rma
RB oteeSe ve
ro
B toocse noBrnaamU neaspatnevs"rse sTeoemsaanw eepeenlwcudete
Wwwomoh wSCoeommemee eSECenEIrn EEaREnte omwml lDowde Hupeon
001624
Fama aCuhpaarmiaciGapnsoatrs _mM7sssopmeyvasCHEM
APpapgee8ndix
n; tS o. e
Eo
:
2
.
20d
sq.
"50 :
&
wa
.5
EVSmoiueerrc!e Cow YTooRemSreCpHtEM
InMSS6opm =S3u.U1mn4o5ma4raoFirf0tF.y0t5942YRSCHEM
RRSSRqoquotauMrieeeAndjSquare ror
o0o1r9s6e7n3 o54olss
MObesaemrvoaftRieonsspo(noreSum Ws)
Serie2s
o1r| hi DS0EUssisSmeaEllo
A"nSailo\f5myoV3ra6osor59i37isas5nsce wsis50
oPasSrGuaEmsmeothrer Estiim7aRte0as 008107 13%
Mem0iS3wo9es0e pF1r9ro0un0 aise
<Poombli oul
Loawwees oussl
Urppeeronsw Goes
001625
FoAmalloPEanrgticnpcaanrtisLab In PFOS ppm By YASCHEM
] oT
APpapgeend9ix N
Ee . :
$05
Tt-- wos Bos nox
sow
TIontrenrcept YRSCHEM
MSooudrecle. ErCrToorul
In PFOSdfpp=m -L1i.n8o93a9rF+it001024 YRSCHEM
RSquire `SummaofrFiyt
0058759
RRSoqoutaMreeaAndSjquareError
050005745777
MOebasenrvoaftRioensspo(onrsSeum Wets)
-1.80801 9
OF ASnumaofloSfyqVuasarriieanssce MeanSquare Ratio
71
o1.71818156550844 0021515l56087 P0r4o3b7o0F
8
19002048
05297
Estimate PaSrWaEmmeotrer Esti(mRataeos Probf 0L08190293I937 00210257749 809606 0<50209071
2L3ow9e7r09559% 0026388
-U1p3p9e0r796s6w 00463678
001626
JruCsI s A ----
AppendiNx Page 10
TT wa T
drones
RaiInqeP umeegFH r=eF-S 3r.9e8l6d 8+t0f .030p 15YRp SCHm SeoEMromaoes
eeemeSoe ge
i)
Bsi=e a
or7To
oCEnSRmEsaS She
sMeamSmwrmyes
orroawmee
Ve
frToui mit SCchoomemmmee CS CsomwmCmeH oeuTE sne E Calwln saloemnmna rguomeseses
001627
FoAmlalPoaErnigcipnaonatrsLab W In POAApomBy YRSCHEM
19
w
Fw)
amd
19 HER AE BE EBEC IF wow
PAapgpe1en1diNx
SMooudrecle ErCrooru TIonemrcept YRSCHEM
In POAApPm = 2Li.ne5ar+6F0i0t202889 YRSCHEM
Rsquire SummaofrFyit
0001765
RoRoqtuMreeaAndSjquare Error
008.4154205874
OMbesearnvaotfiRoensspo(onrseS.um Ws)
25%)
OF1
AsnumaolioSfyqVuasraiiwasnsco 00089035
Mea0n0S0q8u9a0r4e
0F0R1a2i4o
87
550043576775961 0719539 P0r3o1b4o5r
2E5s2ti7n8at5e
PaaSmWEemtoorr Esti(mRataels 03STOTL US
P0r0o0b0l2
00028915 0025994 OL 09145
Lo3w4sr0S7s3% 0058575
1Up7p1e8r4d3s9i 0064384
001628
FomAalloPaErnicginpoaanrtsiab TE In PFOSAA ppm By YRSCHEM 5 5
f go. al--l
Zan
Tan
an VS
n w8s as8w
PAapgpeen12dix
SMooudrecle CEooarl Tnoirmcept YRSCHEM
In PROS=SLAu6i.nme1mAa4r3ao4i-frdt0Fyi.t0.I2633pYRpSCHmEM
RSRqSuqaurreeAdj Root Mean Square ror
00..10023428646 0957088
ObMseearnvoaftRieosnspoonrseSum We)
"6364315
OF1
ASnuamoliofSyVuasarimiasnsca O77
Me0m7m3S8a4u0w7e
Roadeb)o
87 7614510251229285 0916018 P0r3o9v9o1r
CEsIirMate
SParUameEtor 04S
Esti(mFaatelse 1525
P<r0o0b0ll
LTowoercdso%
0026333 00929 0% 0399 0095686
sUpoperroesw 00430209
001629
FemAalllePaErntigciinpoanatrsLab In MS70 ppmBy YRSCHEM
m
.
Som
an
TT
Et
Es wos nos nok st
APpapgeen1d3ix N
TInetrermcept YRSCHEM
Source EMmodoerl C Toul
In 57=03.52p L3in3e+ap r0.Fi0t1m215 YRSCHEM
RSquare
SummaofrFyit
0030399
RoRSoqtuaMreeanAdSjquare Error
00..81406821028
MeanofResponse: Observations (or Sum Wis)
342136 9
OF AnSuamoloffSyVqausraitiaenssce MoeanSquare
1 7
01571845 50135469
0.157185 0716221
8
51707315
F0R2a1t9i5o P0r6o5b3o7F
Estimate PSaWrEammeotrer EstitmRaatteso Probs
3523219 00121493
0356247 0025934
989 047
<0001 06537
4L.o3w6e5r69756% 0049176
2U.p6p8e0r8983s 00734743
001630
FemAallloPaErntgiciinpeaanrtisLab In PFOSA ppm By YRSCHEM
an
Zin =an
an SS
. .
moo w 8w s g sow
APapgpeend14i.xN
TIontrerncept YRSCHEM
SMooudrecle. ECrTroul
In PFOSAdfppm = -Li5n.e5a2r85Fi+t 0.007 YRSCHEM
RSquare `Summary of Fit
0.002879
RRoSoqtuaMreeaAndjSquare Error
10..61035995372
OMbesaernvoaftRioensspo(onrsSeum Wes)
5.46983 9
OF AnaSluymsiosfoSfqVuaruieasnce MeanSquare
71
108005523112137
02507291022
8
18105239
FR0a0t20i2o ProboF 08910
Estimate SPadrEammoetrer EstitmRaatleos Probsil 0S00S69S96I2 0060746201122 801184 <0o80901l0
7L1ow2e7r0S8S4% 010978
U3pp9e7r99058%5 0.123366
001631
FamAallloPaErnigciinpoaanrtisLab * In M556 ppm By YRSCHEM
ge "
2
.
9 TT
:0 CS
woo wo8m s s so
PAapgpeen1d5ixN
MSooudrecle ECrTroourl ITnotemrcept YRSCHEM
In MS56dfppm = -5L.i0n7e0a1r+Fi0t.02647 YRSCHEM
RSRqSquuiarree Adj `Summary of Fit
00..10109643716
MRoeoatnMoefaRnesSpqounasree Error
04..88846530852
`Observations (or Sum Wes)
9
OF1
AnSaluymsoisfSofquVaarrieasnce 07482412
Mea0n7S4q6u2a4r1e
0F 9R4at9i8o
7 3
5624495997516553 0785674 P0r3ob6s2F
SEsOtimIate
SPaGrEammeotrer EstimtaRtaeiso. 0312-1359
<P0ro0b0sll
0026472 027162 097 03622
5L9ow5s2r491S5% 003757
4Up1p8e7r9358% 0.090701
001632
APpapgeend1ix 0 Appendix O wShcaottweorrplkoetds w(aenrderoenglryesisniotnhse)foiflfmlpuloarnotc(hnem=ic3a6)l wlietvehlsyeoafrsrawnodrokmedsaimnplfei:lm
001633
(MaintOornRlayanncFodioWmmorESkmaeprmlsopyNleueemsbered) 0PFOS ppm 8y YsFim
19 ES
2 it a
5.
Zand
= a5 . an S93
ot
wet.
ee
"& a
Sian
so.
*
ws vie
a
8
a
PAapgpeen2 diOx
IRPF=S2uLO3mi0nm2Se4aaor+fr0lPy0t0p313pYrsFmilm
RRsSqquuiarreeAdj RootMean Square Er
0"000022964388 038965
OMbseearnvoatfiRoenssp(oorrseSum Wets)
2259346
SMooudrecle
OF AraSlumooffVSaraiasnce
|
0034516
Memon0S%qsulaeo
F0.r100a5
ECmoral
34
U117E085S95 033s P0r7o5b3s1F
TIomemrcept
2Es3i0m2a3l7o
SPaUrEammerterEst(iRmaitoes Ol 1379
P<ro0bl
L2oewiesrsss%
eUppeerosst
YrFilm
0003336 00083 032 07531 Ooi ooamisr
001634
Appendix Page 3
ITnotemrcept YrsFilm YrsFilm'2
InPFOSdfppm = 2.5P1o1l7yn+om0i.a0l62Fi0t9dYergsrFeiel=m2 ~ 0.0021 YrsFilm2
RSquare Summary of Fit
0083482
RRoSoqtuaMreeaAndjSquare Error
0027935 0570251
OMbesaenrvoaftiRoensspo(nosreS: um Wats)
22594366
SoMoudrecle ErCrToorul
OF AnSaluymsoisfSofquVaarrieasnce MeanSquare Ratio
2 3
100977371415832
00.342858178266
1.5029 ProboF
35
11708595
02373
2E5s1ti7m0at2e 00000622009879
SPWaWrEarmoorlar EsRtiamtaitoes Probsl 00023053970313 1213733 <0000903I4 0001231 170 00980
2L9ow2e6r193s2% 0000014061072
2U0pp9e7r297s2s 00..305010098445
001635
FoFoaynsdFoipmmosmEmayolraeesn
.
-
gar
ard m
.
Fw {7 TN
sependi0x
Page 4
ZL]
,
*
TTR wr38 3 a
i -- tat
RSquFreSp=S4nu7a5m1saePn00y0958 Yimcons
NRoReowtgboefaRaneSpqosre Ero
oiSsoerzntniite
Onsen orSamWet)
s
NEsaraurece
ori
An"aEsaovtmansece we"nsOammee srs OTR
pForesares
Coat 0 oe
5a
TnYoocmren
GaEoninsne
SGPeaanwmtsEsilimhayoes PCoobill ool 06 oss
LG`oSohweassn
Uohogpueuerdoinosss
001636
Appendix Page 5
ITmoemrcept YYrrssFFiillmm'2
InPFHSdfppm = 5.30P1o9ly+no0m.i1a6l5F2i3t dYergsrFeiel=m2- 0.00548 YrsFilms2
RSquare: Summary of Fit
025279
RRoSoqtuaMreeaAndjSquare Error
007.7290469069
OMbesaernvoaftiRoenssp(oonrsSeum Weis)
45868335
MSooudrecle Eror
C Toul
OF AnalSyusmiosfoSfqVuaarrieasnce MeanSquaw Ratio
22
19.6454738627305
036208796112 P5r4o1b3o2F
3
26021905
00094
53Es0t1i8ma6t4e 001060552438313
SPWaErmamoerter Est{iAmsatoes Prob>| 00209520929896 183.2100 <000000215 0001706 321 00030
5L8ow0e8r69754% 0062798 -0008957
4U.p7p0o5r0o5s3s 02676682 -0.002006
001637
(MaiionOarRnyacFnoidWmoomrESkmaepmrlspolgReousmbsored) In POA pomy Vstim
i
a a
wt
Gm
a bp
Els >
3 nT
:
FN
Appendi0x Page 6
4st
55 PS w 8a 8 vn
Tmoemrcpt Yiskim
SVoiuecro EmCerorat
f-- hrit?
1EP=SO3u5nm3Ae3ma6a+oFrAirf0Fy0t1p719pYrsTMFim
RsRqauurme Adj
000o0l9i2s3s
ROoMheoeatrnvMoaefiaoRnneSssqpuo(anorsreSeEormrWoir s)
0S.a83s8o538l4
or|
A"BnneoatfSVwaiarimasence 0sbore
MemoSmuomrew
Fsoreu:
xn B2416965656 own P02e0t3
AESsmHe 0SPua2trae8merterEstRliamaaets.es Pcuoblmi Laoowwemres
0071s 0019 Lis 024 oo
oUppsarossk obese
001638
InPOAAppM = 3.95P8o5ly+no0m.i1a3l11F5itYdrosgFrialem=2- 0.00401 YrsFilmn2
Rsquare Summary of Fit
0.179823
RRoSoqtuaMreeaAndjSquare Error
00.718278550602
Mean of Response Observations (or Sum Was)
329191 3s
MSoodurecle ErCrToorul
OF AnaSluysmiosiofSVqauriaasnce MeanSquare Ratio
22
149385415046915
20612705157 P3r5o0b8s0F
3
24.196556
0.0419
TInotemrcept YrYrssFFiillm.m2
PaErsatmiemtaetre EstimSatUeEsror 03.915381540647 00025906800068 000013 000124
-R1a3t3i7o Pr<0o0b0l1 223538 0000216446
PAapgpeend7ix
001639
(MaitaOFrlaaynnFcdoioWmmoErmSkpaelmrospylNeeuemsbered) Ww In PFOSAA ppm By Yrsiim
dlb a
49
. L..
=.
F2 anez
n
:
25 an Nate ee --. VS 6 vin8 a8 a
PAapgpee8ndi0x
TInoemcept YrsFilm
MoSoduerlce ErCoorl
InPFOSAAAfpSp=muLm6i.nm1e1a4ao3irrf.t+Fyt000041 YrsFilm
RSRqsuqaurree Ad
00.00300002371
OMRbeosoaetnrvMoafetiaRonenssSp(qoounrasrSeeuEmrrWorats)
0".67.319058375s46
oF| ASnuamolo0if0ySV0a0usr5eii5as3nsco Mom00S0qu0a5r5e3 F00r0i1o0
M5 1188005500051614 0546970 P0r9o7v4o8F
6E4s2ta6t0e 0PSa2Ur1aEm8me8rtor Es2i(m7Ra9atl3oes P<r0o0b0ll L6ow5e9rd9s9%
00004063 0012779 003 098 0025593
USppeewr0ssrs 003640
001640
(MainaOnaRynacnFadiWomamrESkmaapmrlpsolyNaeucmsbered) Ir InM68yV7sFi0im 1 m " gun
To
" an a v5 wn win8s 8s
NSoaudreco ECmorl
M570 = 4.8U0n4o6ar F0.u00844 YF
RRSSqquuauree Ag `SummaofrPyi
o"0000s2t360r6
RoOMeosatenrMovefaatRneiSsoqp(unooasnrrsSeeuEmrrWoeris)
F1.0e895oi33
oF| A"Snumoao0ff2SV5aia0rr1ie5ass8nce MemonxSa0uie
32 "40036610288256 LIE08
InTcorrncept YeFim
4PaSCr0aaMm6metlae2rEsim0aSt3o1os03r4 RSa4t5o Do0sul 00 04s
F02r11a0 POroobie <P0roooblo 06a
PApapgeendi0x
001641
wJn,
50 Te
2
.
2m J
.
:
tBELoot,aenf,LpEa-E --iiozs InM556dfp=pm -6.0381 +0.00926YrsFilm
rEEeE r
_st--
001642