Runs L a f arge, Harleyville PA CEMEX, Xenia L a f arge, Sugar Creek, MO Mit su bi s hi , 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 0.025588 0 0.0030 6 0.0109 0.043 0.019972 6 0.0031 7 0.0142 0.050 0.021006 6 0.0025 8 0.0167 0.018763 0 0.0081 9 0.0200 0.025331 6 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/to n

1 N i i 

## n

 

#  N59

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 0.005812 8 NOTE: the pvalue for the t-statistic is calculated as: 2*alpha, where 1-alpha is desired confidence, so if 99% confi d 

#   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 i n i ik k i 

## 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 df p 

## Xt s 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!

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

## 2

, 

# 1 1 df p 

# Xt s n m        Runs MACT N ewMitsubishi, 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/to n

1 N i i 

## n

 

#  N11

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% confi d 

#   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 i n i ik k i 

## 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 = 0.01030247 1 df 

## t

2

, 

## 1 1 df p 

## Xt s n m        new data for Lehigh Evansville

previously omitted run result

revised after QA

00 0 0 0 n clinker)

UPL Pooled Variance=d ence is desired then alpha=0.01 and 2*alpha=2*(0.01 )2.718079183

# 2

, 

# 1 1 df p 

# Xt s n m        