Runs

Lafarge, 

Harleyville 

PA

CEMEX, 

Xenia

Lafarge, 

Sugar Creek, 

MO

Mitsubishi, 

Lucerne 

Valley, CA

1

2 0.0879 0.0185 0.0004 0.0028

3 0.0967 0.03135 0.0049 0.0099

4 0.1054 0.03 0.0085 0.0048

5 0.0271 0.061 0.0255880 0.0030

6 0.0109 0.043 0.0199726 0.0031

7 0.0142 0.050 0.0210066 0.0025

8 0.0167 0.0187630 0.0081

9 0.0200 0.0253316 0.0081

10 0.0450 0.0247617 0.0063

11 0.0094 0.0261849 0.0101

12 0.0614 0.0279137 0.0104

13 0.0087 0.0271205 0.0136

14 0.0300652

15 0.0314742

16 0.0279057

17 0.0198

18 0.0134

19 0.0086

20 0.0652

21 0.0152

22 0.0145

23 0.0380571

24 0.0299579

25 0.0719015

26 0.0636305

27 0.0709737

28 0.0970582

29 0.0439

30 0.0587

31 0.0409

32

33

34

35

ni = number test runs = 0 0 12 6 30 12

Total Number of sources = 6

n =Total # test runs = 60

Emissions (lb/ton

1

N

i

i

n





N
59

This step is for QC only:

means #DIV/0! 0.04 0.04 0.03 0.01

0.03

Mean =

Pooled Variance = 0.0007

m= number future runs = 30

Term1 0.0500

Term2 0.0000

Squared root Term2 0.0058128

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confid

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 i N n

ij

i j

X x

n  

 

1 1

n m



2 1 1

s

n m

      

1

1

N

i

i

df n 

        

df t

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

1

N

i

i

n




t‐statistic = quantile t‐distribution with df degrees of freedom at .99 confidence level =

UPL  POOLED VARIANCE = 0.043746063

df t

2

,

1 1 Xt s df p n m

       
new data for Lehigh Evansville

previously omitted run result

revised after QA

00 0 0 0

n clinker)

UPL Pooled 

Variance=
#DIV/0!

dence is desired then alpha=0.01 and 2*alpha=2*(0.01)
2.391228822
2

,

1 1 Xt s df p n m

       
Runs

MACT NewMitsubishi, 

Lucerne 

Valley, CA

1

2 0.0028

3 0.0099

4 0.0048

5 0.0030

6 0.0031

7 0.0025

8 0.0081

9 0.0081

10 0.0063

11 0.0101

12 0.0104

13 0.0136

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

ni = number test runs = 0 0 0 0 0 12

Total Number of sources = 1

n =Total # test runs = 12

Emissions (lb/ton

1

N

i

i

n





N
11

This step is for QC only:

means 0.0069

0.01

Mean =

Pooled Variance = 0.0000

m= number future runs = 30

Term1 0.1167

Term2 0.0000

Squared root Term2 0.0012593

NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confid

 2 2

1

1

1

n

i

i

s x X

n 

   

1 1

1 i N n

ij

i j

X x

n  

 

1 1

n m



2 1 1

s

n m

      

1

1

N

i

i

df n 

        

2 1 1

s

n m

      

1

1 ni

i ik

i k

x x

n 

 

1

N

i

i

n




t‐statistic = quantile t‐distribution with df degrees of freedom at .99 confidence level =

UPL  POOLED VARIANCE = 0.010302471

df t

2

,

1 1 Xt s df p n m

       
new data for Lehigh Evansville

previously omitted run result

revised after QA

00 0 0 0

n clinker)

UPL Pooled 

Variance=
dence is desired then alpha=0.01 and 2*alpha=2*(0.01)
2.718079183
2

,

1 1 Xt s df p n m

       