NC0004987_Worksheets_20200904

Table 1. Project Information
Facility Name
WWTP/WTP Class
NPDES Permit
Outfall
Flow, Qw (MGD)
Receiving Stream
Stream Class
7Q10s (cfs)
7Q10w (cfs)
30Q2 (cfs)
QA (cfs)
1Q10s (cfs)
Data Source(s)
To appy Model IWC %: Flow, Qw (MGD) entered adjust 7Q10s (cfs) value until chronic IWC % obtained. 1Q10s (cfs) defined by program.
2014 Freshwater RPA - 95% Probability/95% Confidence
MAXIMUM DATA POINTS = 58
Marshall Steam Station
I
NC0004987
002 Dewatering 1
3
Lake Norman
WS-IV
60
60
60
60
49.15
Renewal Application
Follow directions for data entry. In some cases a comment menu list the available choices or a dropdown menu will provide a list you may select from. Error message occur if data entry
does not meet input criteria.
Û
Û
Û
Û
Û
Û
REQUIRED DATA ENTRY
Table 2. Parameters of Concern
Par01
Par02
Par03
Par04
Par05
Par06
Par07
Par08
Par09
Par10
Par11
Par12
Par13
Par14
Par15
Par16
Par17
Par18
Par19
Par20
Par21
Par22
Name
Arsenic
Arsenic
Beryllium
Cadmium
Chlorides (AL)
Chlorinated Phenolic Compounds
Total Phenolic Compounds
Chromium
Copper (AL)
Cyanide
Fluoride
Lead
Mercury
Molybdenum
Nickel
Selenium
Silver (AL)
Zinc (AL)
Type
C
C
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
Chronic
50
10
6.5
2
230
1
300
50
7
5
1800
25
12
160
25
5
0.06
50
Modifier
FW
HH/WS
FW
FW
FW
A
A
FW
FW
FW
FW
FW
FW
WS
WS
FW
FW
FW
Acute
15
1022
7.3
22
33.8
261
56
1.23
67
PQL
10
0.5
Units
ug/L
ug/L
ug/L
ug/L
mg/L
ug/L
ug/L
ug/L
ug/L
ug/L
ug/L
ug/L
ng/L
ug/L
ug/L
ug/L
ug/L
ug/L
IMPAIRED?
0
False
False
10
50
0.4
2
1
300
160
2000
C
NC
A
FW
HH
TR
WS
0
1
0
230
250
ppt
mg/L
µg/L
lb/d
25
88
0.06
17
10800
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
False
For all dischargers to all waters of the state:
Narrative aesthetic “Total Phenolic Compounds” water quality standard (300 ug/L). Data should be
supplied using US EPA Method 420.1 (colorimetric) or US EPA Method 420.4 (automated colorimetric),
and will be labeled “Phenols” or “Total Recoverable Phenolics”. (EPA Parameter Code: 32730)
For dischargers to Water Supply (WS) streams that chlorinate the effluent:
“Chlorinated Phenolic Compounds” in Water Supply classified waters is an aesthetic standard
at 1.0 ug/L. Concentrations of all chlorinated phenolic compounds, detected above the PQL, using
US EPA Method 625 data, should be summed* and compared to the 1.0 ug/L water supply water
quality standard for “chlorinated phenolic compounds”. (EPA Parameter Code: 34034)
The following is a list of Chlorinated Phenolic Compounds detected using US EPA Method 625:
2-chlorophenol 2,4-dichlorophenol 2,4,5-trichlorophenol
4-chloro-3-methylphenol pentachlorophenol
Additional chlorinated phenolic compounds MAY be reported. If reported above the PQL, the
additional chlorinated compounds should be added to the five chlorinated compounds listed above
to calculate the total chlorinated phenolics in the sample. NOTE: these additional compounds are NOT
required to be reported by 40 CFR Part 136 regulations for US EPA Method 625.
3-chlorophenol 4-chlorophenol 2,3-dichlorophenol
2,5-dichlorophenol 2,6-dichlorophenol 3,4-dichlorophenol
2,3,6-trichlorophenol 2,4,5-trichlorophenol 2,3,4,6-tetrachlorophenol
4-chloro-2-methylphenol 6-chloro-3-methylphenol
*The following US EPA Method 625 reported non-chlorinated phenolic compounds SHOULD NOT be
summed with the chlorinated data for comparison to the Water Supply standard for chlorinated phenolics:
2,4-Dimethylphenol 2,4-Dinitrophenol 2-Methyl-4,6-dinitrophenol
2-Nitrophenol 4-Nitrophenol Phenol
p-cresol (4-methylphenol)     o-cresol (2-methylphenol)           

1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
3560
Arsenic - FW Standard
BDL=1/2DL
3560
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
3560
0
1
1
3560
3560
ug/L
ug/L
2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
12:00:00 AM
Data
0
3560
Arsenic - HH/WS Standards
BDL=1/2DL
3560
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Automatically copies Arsenic data from FW Standard entries
N/A
3560
0
1
1
3560
3560
ug/L
ug/L
3
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
Beryllium
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
ug/L
ug/L
4
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
<
1
Cadmium
BDL=1/2DL
0.5
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
0.5
0
1
1
0.5
0.5
ug/L
ug/L
5
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
288
Chlorides (AL)
BDL=1/2DL
288
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
288
0
1
1
288
288

mg/L
mg/L
6
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
Chlorinated Phenolic Compounds
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
ug/L
ug/L
7
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
Total Phenolic Compounds
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
ug/L
ug/L
8
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
<
1
Chromium
BDL=1/2DL
0.5
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
0.5
0
1
1
0.5
0.5
ug/L
ug/L
9
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
1.99
Copper (AL)
BDL=1/2DL
1.99
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
1.99
0
1
1
1.99
1.99
ug/L
ug/L
10
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
Cyanide
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
ug/L
ug/L
11
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
2.78
Fluoride
BDL=1/2DL
2.78
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
2.78
0
1
1
2.78
2.78
ug/L
ug/L
12
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
<
1
Lead
BDL=1/2DL
0.5
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
0.5
0
1
1
0.5
0.5
ug/L
ug/L
13
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
1.97
Mercury
BDL=1/2DL
1.97
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
1.97
0
1
1
1.97
1.97
ng/L
ng/L
14
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
854
Molybdenum
BDL=1/2DL
854
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
854
0
1
1
854
854
ug/L
ug/L
15
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
14.8
Nickel
BDL=1/2DL
14.8
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
14.8
0
1
1
14.8
14.8
ug/L
ug/L
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
3.15
Selenium
BDL=1/2DL
3.15
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
3.15
0
1
1
3.15
3.15
ug/L
ug/L
17
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
Silver (AL)
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
ug/L
ug/L
18
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
50
Zinc (AL)
BDL=1/2DL
50
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
N/A
50
0
1
1
50
50
ug/L
ug/L
19
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
0
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
0
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
21
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
0
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
22
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Date
Data
0
BDL=1/2DL
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
Use "PASTE SPECIAL-Values" then "COPY" . Maximum data points = 58
NO DATA
NO DATA
NO DATA
0
N/A
N/A
N/A
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
n =
cv =
5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
7
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
8
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
Hit(s)
0
Arsenic - FW Standard
1
For all dischargers to all waters of the state:
Narrative aesthetic “Total Phenolic Compounds” water quality standard (300 ug/L). Data should be
supplied using US EPA Method 420.1 (colorimetric) or US EPA Method 420.4 (automated colorimetric),
and will be labeled “Phenols” or “Total Recoverable Phenolics”. (EPA Parameter Code: 32730)
For dischargers to Water Supply (WS) streams that chlorinate the effluent:
“Chlorinated Phenolic Compounds” in Water Supply classified waters is an aesthetic standard
at 1.0 ug/L. Concentrations of all chlorinated phenolic compounds, detected above the PQL, using
US EPA Method 625 data, should be summed* and compared to the 1.0 ug/L water supply water
quality standard for “chlorinated phenolic compounds”. (EPA Parameter Code: 34034)
The following is a list of Chlorinated Phenolic Compounds detected using US EPA Method 625:
2-chlorophenol 2,4-dichlorophenol 2,4,5-trichlorophenol
4-chloro-3-methylphenol pentachlorophenol
Additional chlorinated phenolic compounds MAY be reported. If reported above the PQL, the
additional chlorinated compounds should be added to the five chlorinated compounds listed above
to calculate the total chlorinated phenolics in the sample. NOTE: these additional compounds are NOT
required to be reported by 40 CFR Part 136 regulations for US EPA Method 625.
3-chlorophenol 4-chlorophenol 2,3-dichlorophenol
2,5-dichlorophenol 2,6-dichlorophenol 3,4-dichlorophenol
2,3,6-trichlorophenol 2,4,5-trichlorophenol 2,3,4,6-tetrachlorophenol
4-chloro-2-methylphenol 6-chloro-3-methylphenol
*The following US EPA Method 625 reported non-chlorinated phenolic compounds SHOULD NOT be
summed with the chlorinated data for comparison to the Water Supply standard for chlorinated phenolics:
2,4-Dimethylphenol 2,4-Dinitrophenol 2-Methyl-4,6-dinitrophenol
2-Nitrophenol 4-Nitrophenol Phenol
p-cresol (4-methylphenol)     o-cresol (2-methylphenol)           
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Arsenic - HH/WS Standards
1
9
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
10
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n =
cv =
12
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
13
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Round to 2 dec. places to get MF:
14
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
15
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Hit(s)
16
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Beryllium
17
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
18
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
19
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
20
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n =
cv =
21
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
22
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Cadmium
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Chlorides (AL)
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
Chlorinated Phenolic Compounds
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
Total Phenolic Compounds
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Chromium
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Copper (AL)
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
Cyanide
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Fluoride
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Lead
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Mercury
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Molybdenum
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Nickel
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Selenium
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
Silver (AL)
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
1
0
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
1
1
1
'mf calculator'!$B$7
1
'mf calculator'!$C$7
1.38840099773376
1
Round to 2 dec. places to get MF:
Hit(s)
0
Zinc (AL)
1
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
0
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
0
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
0
Interpolate to find Mult. Factor
Find row in M.F. Table -
Find column in M.F. Table -
Pick upper & lower Mult. Factors and interpolate:
n =
cv =
0
NO DATA
which truncates to
value 1 address =
value 1 =
value 2 address =
value 2 =
Interpolated MF value =
0
Round to 2 dec. places to get MF:
Hit(s)
0

PAR #
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
LTMP
Y
N
Y
Y
Y
Y
N
Y
Y
Y
Y
N
Y
Y
Y
Y
Y
Y
Y
Y
Y
Y
Marshall Steam Station
NC0004987
PARAMETER
Arsenic
Arsenic
Beryllium
Cadmium
Chlorides (AL)
Chlorinated Phenolic Compounds
Total Phenolic Compounds
Chromium
Copper (AL)
Cyanide
Fluoride
Lead
Mercury
Molybdenum
Nickel
Selenium
Silver (AL)
Zinc (AL)
Qw (MGD) =
1Q10S (cfs) =
7Q10S (cfs) =
7Q10W (cfs) =
30Q2 (cfs) =
Avg. Stream Flow, QA (cfs) =
Receiving Stream:
TYPE (1)
C
C
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
3
49.15
60
60
60
60
Lake Norman
STANDARDS & CRITERIA (2)
NC WQS / Chronic
50
10
6.5
2
230
1
300
50
7
5
1800
25
12
160
25
5
0.06
50
Applied Standard
FW(7Q10s)
HH/WS(Qavg)
FW(7Q10s)
FW(7Q10s)
FW(7Q10s)
A(30Q2)
A(30Q2)
FW(7Q10s)
FW(7Q10s)
FW(7Q10s)
FW(7Q10s)
FW(7Q10s)
FW(7Q10s)
WS(7Q10s)
WS(7Q10s)
FW(7Q10s)
FW(7Q10s)
FW(7Q10s)
½ FAV / Acute
15
1022
7.3
22
33.8
261
56
1.23
67
PQL
10
0.5
2014 Freshwater RPA - 95% Probability/95% Confidence
MAXIMUM DATA POINTS = 58
UNITS
ug/L
ug/L
ug/L
ug/L
mg/L
ug/L
ug/L
ug/L
ug/L
ug/L
ug/L
ug/L
ng/L
ug/L
ug/L
ug/L
ug/L
ug/L
REASONABLE POTENTIAL RESULTS
n
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
0
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
0
0
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
0
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
1
Note: n ≤ 9
Limited data set
0
1
Note: n ≤ 9
Limited data set
0
0
0
0
# Det.
1
1
0
0
1
0
0
0
1
0
1
0
1
1
1
1
0
1
0
0
0
0
WWTP/WTP Class:
IWC @ 1Q10S =
IWC @ 7Q10S =
IWC @ 7Q10W =
IWC @ 30Q2 =
IWC @ QA =
Stream Class:
Max Pred Cw
3560
Default C.V.
3560
Default C.V.
N/A
0.5
Default C.V.
288
Default C.V.
N/A
N/A
0.5
Default C.V.
1.99
Default C.V.
N/A
2.78
Default C.V.
0.5
Default C.V.
1.97
Default C.V.
854
Default C.V.
14.8
Default C.V.
3.15
Default C.V.
N/A
50
Default C.V.
N/A
N/A
N/A
N/A
I
0.0864
0.0719
0.0719
0.0719
0.0719
WS-IV
Allowable Cw
Acute:
Chronic:
1 value(s) > Allowable Cw
Chronic:
1 value(s) > Allowable Cw
Acute:
Chronic:
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
Acute:
Chronic:
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
Acute:
Chronic:
No value > Allowable Cw
Acute:
Chronic:
Acute:
Chronic:
Acute:
Chronic:
Acute:
Chronic:
NO WQS
695.410292072323
139.082058414465
NO WQS
90.4033379694019
173.611111111111
27.8164116828929
NO WQS
3198.88734353268
NO WQS
13.9082058414465
NO WQS
4172.46175243394
11828.7037037037
695.410292072323
84.4907407407407
97.3574408901252
254.62962962963
69.5410292072323
NO WQS
25034.7705146036
391.203703703704
347.705146036161
NO WQS
166.898470097357
NO WQS
2225.31293463143
3020.83333333333
347.705146036161
648.148148148148
69.5410292072323
14.2361111111111
0.834492350486787
775.462962962963
695.410292072323
PRELIM. RESULTS
Outfall 002 Dewatering 1
Qw = 3 MGD
CHRONIC TEST CONCENTRATION = 7.2%
RECOMMENDED ACTION
add limit
no limit
no limit
no limit
no limit
no limit
no limit
no limit
no limit
no limit
no limit
no limit
USE MENU BUTTON TO SELECT POSSIBLE "RECOMMENDED ACTION"
RP for non-AL - apply Monthly Monitoring with Limit
RP for AL(Cu,Zn,Ag,Fe,Cl) - apply Quarterly Monitoring in conjunction with TOX Test
RP for Limited Dataset (n<8 samples) - apply Quarterly Monitoring
RP for Limited Dataset (n<8) but 2 values > Allowable Cw - apply Monthly Monitoring with Limit
No RP , Predicted Max ≥ 50% of Allowable Cw - apply Quarterly Monitoring
No RP , Predicted Max ≥ 50% of Allowable Cw - defer to LTMP
No RP, Predicted Max < 50% of Allowable Cw - No Monitoring required
No Data (new Permit, New Waste Stream) - apply Monthly Monitoring, Pollutant of concern

1
2
3
4
5
6
7
8
9
10
11
12
13
Date
PQL = 10
Jan. 09
Feb. 09
No PQL or a lower PQL of 9
Jan. 09
Feb. 09
Data
<
<
<
<
10
9
10
9
9
BDL=1/2DL
5
5
5
4.5
Cyanide
Results
Std Dev.
Mean
C.V.
n
Mult Factor =
Max. Value
Max. Pred Cw
NO DATA
NO DATA
NO DATA
0
N/A
0
N/A
ug/L
ug/L

Workbook Names:
Fac_Name
WWTP_Grade
NPDES
Outfall
Qw__MGD
Receiving_Stream
Stream_Class
_7Q10s__cfs
_7Q10w__cfs
_30Q2__cfs
QA__cfs
_1Q10__cfs
HQWF
Name
Type
Chronic
Modifier
Acute
PQL
Units
INPUT Tab only:
Print_Area
=input!$B$5
=input!$B$6
=input!$B$7
=input!$B$8
=input!$B$9
=input!$B$10
=input!$B$11
=input!$B$12
=input!$B$13
=input!$B$14
=input!$B$15
=input!$B$16
=input!$N$6
=input!$E$5:$E$26
=input!$F$5:$F$26
=input!$G$5:$G$26
=input!$H$5:$H$26
=input!$I$5:$I$26
=input!$J$5:$J$26
=input!$K$5:$K$26
=input!$A$1:$K$26
Par_01
Par_02
Par_03
Par_04
Par_05
Par_06
Par_07
Par_08
Par_09
Par_10
Par_11
Par_12
Par_13
Par_14
Par_15
Par_16
Par_17
Par_18
Par_19
Par_20
Par_21
Par_22
=input!$E$5:$K$5
=input!$E$6:$K$6
=input!$E$7:$K$7
=input!$E$8:$K$8
=input!$E$9:$K$9
=input!$E$10:$K$10
=input!$E$11:$K$11
=input!$E$12:$K$12
=input!$E$13:$K$13
=input!$E$14:$K$14
=input!$E$15:$K$15
=input!$E$16:$K$16
=input!$E$17:$K$17
=input!$E$18:$K$18
=input!$E$19:$K$19
=input!$E$20:$K$20
=input!$E$21:$K$21
=input!$E$22:$K$22
=input!$E$23:$K$23
=input!$E$24:$K$24
=input!$E$25:$K$25
=input!$E$26:$K$26
IWC_1Q10S
IWC_7Q10s
IWC_7Q10w
IWC_30Q2
IWC_QA
RPALIST
RPA Tab only:
Print_Area
Print_Titles
=rpa!$L$5
=rpa!$L$6
=rpa!$L$7
=rpa!$L$8
=rpa!$L$9
=rpa1$y$64:$y$77
=rpa!$C1:$P$99
=rpa!$1:$2
_Data01
_Data02
_Data03
_Data04
_Data05
_Data06
_Data07
_Data08
_Data09
_Data10
_Data11
_Data12
_Data13
_Data14
_Data15
_Data16
_Data17
_Data18
_Data19
_Data20
_Data21
_Data22
DATA Tab only:
Print_Area
=data1$D5:$D$204
=data1$M5:$M$204
=data1$V5:$V$204
=data1$AE5:$AE$204
=data1$AN5:$AN$204
=data1$AW5:$AW$204
=data1$BF5:$BF$204
=data1$BO5:$BO$204
=data1$BX5:$BX$204
=data1$CG5:$CG$204
=data1$CP5:$CP$204
=data1$CY5:$CY$204
=data1$DH5:$DH$204
=data1$DQ5:$DQ$204
=data1$DZ5:$DZ$204
=data1$EI5:$EI$204
=data1$ER5:$ER$204
=data1$FA5:$FA$204
=data1$FJ5:$FJ$204
=data1$FS5:$FS$204
=data1$GB5:$GB$204
=data1$GK5:$GK$204
=data!$A$2:$GP$204

Monitoring Frequencies
2B .0500
Notes:
Msg00
Msg01
Msg02
Msg03
Msg04
Msg05
Msg06
Msg07
Msg08
Msg09
Msg10
Effluent Limited
pH
Temp, C
BOD5
TSS
NH3-N
Fecal Col.
TN
TP
Water Quality Limited
Parameter
D.O.
D.O.
pH
Temp, C
Temp, C
BOD5
TSS
NH3-N
TRC
Fecal Col.
Fecal Col.
Conductivity
Conductivity
TN
TP
* Upstream and downstream monitoring in WQ-limited waters is to be conducted
3/Week during Jun, Jul, Aug, and Sep; and 1/Week during the rest of the year.
TN, TP Monitoring
All facilities >= 0.05 MGD will monitor TN and TP
Those < 0.05 MGD will monitor if discharging to NSW
For the Neuse, Tar-Pamlico, and any other river basins classified as NSW, use limits
and monitoring requirements according to the basin's permitting strategy.
For French Broad, Broad, Savannah, New Watauga, Little Tennessee, and Hiwassee:
-
-
For all other river basins:
-
-
E
E
I, E
I, E
E
E
E
E
Location
E
U, D
E
E
U, D
I, E
I, E
E
E
E
U, D
E
U, D
E
E
>= 0.05 MGD
>= 1.0 MGD
>= 0.05 MGD
>= 1.0 MGD
< No Data Entered >
MaxPredCw < Acute
MaxPredCw < Chronic
MaxPredCw << Acute
MaxPredCw << Chronic
MaxPredCw > Acute
MaxPredCw > Chronic
MaxPredCw >> Acute
MaxPredCw >> Chronic
No acute standard or 1/2 FAV
No chronic standard or criterion
2/Month
1/Week
2/Month
2/Month
1/Month
2/Month
See notes below.
See notes below.
Frequency
Class I
1/Week
1/Week
2/Month
Daily
1/Week
2/Month
2/Month
1/Month
2/Week
2/Month
2/Month
1/Week
1/Week
See notes below.
See notes below.
- monitor semi-annually
- monitor quarterly
- monitor quarterly
- monitor monthly
1/Week
1/Week
1/Week
1/Week
2/Month
1/Week
Class II
1/Week
1/Week
1/Week
Daily
1/Week
1/Week
1/Week
2/Month
2/Week
1/Week
1/Week
1/Week
1/Week
3/Week
3/Week
3/Week
3/Week
1/Week
3/Week
Class III
3/Week
3/Week*
3/Week
Daily
3/Week*
3/Week
3/Week
1/Week
3/Week
3/Week
3/Week*
3/Week
3/Week*
NO DATA
MONITOR?
MONITOR?
REMOVE?
REMOVE?
DAILY MAX LIMIT?
MO AVG LIMIT?
DAILY MAX LIMIT?
MO AVG LIMIT?
N/A
N/A
Daily
Daily
Daily
Daily
3/Week
Daily
Class IV
Daily
3/Week*
Daily
Daily
3/Week*
Daily
Daily
3/Week
Daily
Daily
3/Week*
Daily
3/Week*
Sample recommendations:
Daily max limit
Monitor 1/month
Monitor 1/week
Monitor 2/month
Monitoring not necessary in permit
No limit
No limit - assuming no tox (Action Level parameter)
No limit (Action Level parameter)
Continue to monitor at 2/month
Mo. avg. limit (keep wk. avg. if existing)
Revise daily max. limit
Per Memo Dated 7-15-2010
password 'mf calculator' = rpa 2013

9/11/2013
New freshwater RPA based on 95% probability/95% confidence
Statistically 58 points are the maximum number of points allowed under this RPA program. Data fields were estbalished to allow only 58 data point entries.
Additional messages will appear to alert user if more than 58 data points were enter and no predicted values will be calculated
All worksheets are "Protected"
The "mf calculator" is password "Protected"
OTHER CHANGES FROM PREVIOUS RPA PROGRAM:
A. When Model is applied (Check box activated):
B. When Model is not applied (Check box NOT activated):
C. When paremeter's "Impaired?" check box is activated:
10/30/2013
1) Amended "ERR" alert on data sets entreies to activate if "<" entered but no value entered, does not effect RPA calculation, ERR message only
2) Added new calculation feature to count nondetects when both "<" and a value are entered for each data set, used to calculate detected entries
3) Amended "Comments" drop down menu - per Juile
4) Turned the Chronic toxicity concentration message off on the RPA page - per Julie
2/10/14:
ON "data" page changed highlighted area from blue shades to gray
rdb
1) assumes only chroinc dilution known
2) assumes user will insert appropriate flow values for "7Q10s (cfs)", "7Q10w (cfs)", "30Q2 (cfs)", "QA (cfs)" to define chronic dilution in terms of "IWC %", "IWC %" is the same for
all stream flows
3) automatically assigns the entered chronic IWC % to the "IWC @ 7Q10s", "IWC @ 7Q10w", "IWC @ 30Q2", "IWC @ QA" values used in chronic WQS calculations (See "RPA" page)
3) "1Q10s (cfs)" automatically defaults to no acute dilution, acute IWC = 100% ,"IWC @ 1Q10s" = 100% which is used in acute WQS calculatons (See "RPA" page)
1) assumes user will insert appropriate flow values for "7Q10s (cfs)", "7Q10w (cfs)", "30Q2 (cfs)", "QA (cfs)" , "Flow Qw (MGD)" for chronic IWC % calculations, IWC % will vary according
to flows
3) automatically calculates chronic-based IWC % for the "IWC @ 7Q10s", "IWC @ 7Q10w", "IWC @ 30Q2", "IWC @ QA" values used in chronic WQS calculations (See "RPA" page)
3) "1Q10s (cfs)" is automatically calculated bases on entered "7Q10s (cfs)" flow
4) automatically calculates acute-based IWC% for the "IWC @ 1Q10s" value used in acute WQS calculations (See "RPA" page)
1) automtically activtes the "IMPAIRED" message alert on the "RPA" page for that parameter
2) does NOT make any automatic adjustements to WQS calculations
NOTE: If new or expanding discharge and receiving stream impaired, will need to evaluate if additional waste load is allowed
rdb

Reasonable Potential Multiplying Factors - Calculator
0.95
0.95
n
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
Coefficient of Variation
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0
Confidence Level
Upper Boundary of the Effluent Distribution (Percentile Value Not To Exceed)
0.1
1.38840099773376
1.27111469050493
1.21847655713074
1.18633054806632
1.16383762230789
1.14683139026534
1.13331289613294
1.12218344417925
1.11278047299373
1.10467649094385
1.0975810834537
1.09128877035614
1.08564930059071
1.08054977803137
1.0759034127737
1.07164217145935
1.06771181979435
1.06406848582582
1.06067622008102
1.05750522685559
1.05453055811679
1.05173113300623
1.04908899081914
1.04658871423079
1.04421697855844
1.04196219562068
1.03981422949463
1.03776416755025
1.03580413443476
1.03392713975651
1.03212695244948
1.03039799643957
1.02873526345108
1.0271342397058
1.02559084395922
1.0241013748477
1.0226624659285
1.02127104711179
1.01992431143197
1.0186196863014
1.01735480854529
1.01612750264024
1.01493576167913
1.01377773066521
1.01265169180409
1.01155605151552
1.01048932893102
1.00945014567917
1.00843721679075
1.00744934258052
1.00648540138337
1.00554434303981
1.00462518304079
1.00372699725357
1.00284891716167
1.00199012556005
1.00114985265469
1.00032737252227
0.1
0.2
1.91841795258632
1.61006746972714
1.48039592364612
1.40386374629336
1.35151239692748
1.31258667752058
1.28204688845992
1.25717204173971
1.23634448696479
1.21853274710811
1.20304308779725
1.18938891324183
1.17721712771043
1.16626422386939
1.15632886755177
1.14725411263433
1.13891548178509
1.13121275194749
1.12406415385882
1.11740218797592
1.11117054895613
1.10532182671642
1.09981576192347
1.09461790411578
1.08969856675599
1.08503200434338
1.08059575772551
1.07637012830846
1.07233775211411
1.06848325195022
1.0647929512527
1.06125463703585
1.05785736225638
1.05459128004557
1.05144750388683
1.04841798905383
1.04549543157664
1.04267318174132
1.03994516970529
1.03730584126437
1.03475010216702
1.03227326965765
1.02987103016058
1.02753940220186
1.02527470381601
1.02307352380759
1.0209326963376
1.0188492783874
1.01682052972108
1.01484389502382
1.0129169879411
1.01103757678299
1.0092035716911
1.00741301309373
1.00566406129826
1.0039549870902
1.00228416322505
1.00065005671416
0.2
0.3
2.62669843308013
2.02585102922177
1.78876471342079
1.65341392478538
1.56284582937539
1.49658907032767
1.44526433553497
1.40389297917047
1.36955508353583
1.34040963292346
1.31523022146185
1.29316374022033
1.27359564318336
1.25607028691056
1.24024157108187
1.22584113352648
1.21265716517848
1.20051989094086
1.18929136965374
1.17885817112433
1.16912601685888
1.16001579032717
1.15146052094681
1.14340307245172
1.13579434883446
1.12859188603067
1.12175873483633
1.11526256632504
1.10907494911463
1.10317076070306
1.09752770437551
1.09212590996249
1.08694760173368
1.08197682044865
1.07719918940113
1.07260171643632
1.06817262556427
1.06390121306468
1.05977772396972
1.05579324558977
1.05193961536295
1.04820934079833
1.0445955296751
1.0410918289753
1.03769237128325
1.03439172759267
1.03118486563234
1.02806711296108
1.02503412419777
1.02208185184801
1.01920652026818
1.01640460237459
1.01367279876065
1.01100801893225
1.00840736441108
1.00586811348921
1.00338770744672
1.00096373806884
0.3
0.4
3.55150035162866
2.52566375727355
2.14505056582772
1.9346058223633
1.7967403446345
1.69744371835444
1.62146055531199
1.56082200576618
1.51091399272136
1.46885809836273
1.43275411263274
1.40129055064351
1.37352917945214
1.34877863954175
1.32651669217904
1.30634043710655
1.2879333432865
1.27104277173447
1.25546426064401
1.24103029314883
1.22760211090965
1.21506364306948
1.20331693335469
1.1922786469774
1.1818773682469
1.17205148558501
1.16274751867466
1.15391878241792
1.1455243103171
1.13752797971639
1.12989779560009
1.12260530002552
1.11562508191699
1.1089343676412
1.10251267706697
1.0963415330623
1.09040421487089
1.08468554773169
1.07917172259975
1.07385014099861
1.0687092809582
1.063738580727
1.05892833753333
1.05426961914239
1.04975418633665
1.04537442475673
1.04112328479276
1.03699422842355
1.03298118207172
1.02907849468463
1.02528090036838
1.0215834850002
1.01798165632701
1.01447111712676
1.01104784106768
1.00770805094976
1.0044481990548
1.00126494936713
0.4
0.5
4.73032686359608
3.11440741565018
2.54914376195835
2.24598722149331
2.0513457258914
1.91322096795859
1.80874818626603
1.7261619028124
1.65873114318808
1.60229854981972
1.55414279800458
1.5123994654519
1.47574337470984
1.4432036714972
1.41405080631531
1.38772460155721
1.36378686809229
1.34188925908008
1.32175089593955
1.30314244278202
1.28587454402177
1.26978928047142
1.25475375541797
1.24065521067344
1.22739725939894
1.21489694605706
1.20308242715949
1.19189112364748
1.1812682356074
1.17116553823515
1.16154039819888
1.15235496424838
1.14357549672115
1.13517180861878
1.12711679694854
1.11938604758502
1.11195750039222
1.10481116403157
1.09792887196633
1.09129407280451
1.0848916494067
1.07870776220427
1.07272971298591
1.06694582606252
1.06134534424696
1.05591833751177
1.05065562253619
1.0455486916391
1.04058964982885
1.03577115889537
1.03108638763062
1.02652896739798
1.02209295238329
1.01777278395466
1.01356325863746
1.00945949927847
1.00545692902968
1.00155124783124
0.5
0.6
6.19774511718282
3.79453053007246
2.9995330437419
2.58527095612846
2.32430279455888
2.14168362634315
2.00506358236091
1.89802804006431
1.81129089023965
1.73916965686
1.67797400984025
1.62519294663174
1.57905248684544
1.53825997095546
1.50184874303983
1.46907984011047
1.43937755588825
1.41228592423852
1.38743855768804
1.36453726161701
1.34333656316018
1.3236323171549
1.30525317932645
1.28805413250876
1.27191150697978
1.2567191042966
1.24238514715862
1.22882985524571
1.21598350081779
1.20378483586356
1.1921798097788
1.18112051626082
1.17056432255412
1.16047314489305
1.15081284200761
1.14155270462157
1.13266502349704
1.1241247221364
1.1159090430098
1.10799727832972
1.10037053808741
1.09301154940651
1.08590448233686
1.07903479806698
1.0723891162234
1.06595509848321
1.05972134618121
1.05367730996494
1.04781320985696
1.04211996433595
1.03658912725792
1.0312128316129
1.02598373925809
1.02089499589091
1.01594019062792
1.01111331964269
1.0064087533892
1.00182120700002
0.6
0.7
7.98374912951231
4.56618313879838
3.4936178658368
2.94963110856854
2.61299920794086
2.38050337412039
2.20834936642443
2.07460269824599
1.96698292593546
1.87803978858027
1.80297032119068
1.73852722526331
1.682429197884
1.63302222097219
1.58907499153381
1.54965009557449
1.51401996049701
1.48161033301505
1.45196125493847
1.42469949211448
1.39951865487517
1.37616460254547
1.35442455242746
1.33411883354513
1.31509455983938
1.29722071732007
1.28038430704137
1.26448728633155
1.24944412046935
1.23517980612219
1.22162826293287
1.20873101500216
1.19643610257193
1.18469717794169
1.17347274991301
1.16272554879916
1.15242198993325
1.14253171813509
1.13302721910063
1.12388348640972
1.11507773499283
1.10658915359333
1.09839869011038
1.09048886478691
1.08284360707567
1.07544811271902
1.06828871814982
1.06135278978729
1.05462862618591
1.04810537131083
1.04177293747583
1.0356219366972
1.02964361939896
1.0238298195571
1.01817290549865
1.01266573567955
1.00730161885668
1.00207427814738
0.7
0.8
10.1128202360199
5.42758083245977
4.02806699699065
3.33598648308887
2.91478868610216
2.62743097500798
2.41668755890234
2.25423982900864
2.1243850125986
2.01767240087146
1.92805070045864
1.85145270654822
1.7850359512083
1.72674910726042
1.67507148496068
1.62884975425862
1.58719187444797
1.54939603912834
1.51490179332245
1.48325561113186
1.4540861522628
1.42708614738343
1.40199891732425
1.37860819160416
1.35673031537322
1.33620821155648
1.31690665066015
1.29870850710865
1.28151176846606
1.26522712536459
1.24977601375689
1.23508901271518
1.22110452408234
1.20776767732636
1.19502941566768
1.1828457291304
1.17117700745201
1.15998749137064
1.14924480512368
1.13891955635199
1.12898499223822
1.11941670278775
1.11019236381276
1.10129151350048
1.09269535750805
1.08438659838383
1.07634928581201
1.06856868474586
1.06103115896144
1.05372406794803
1.04663567536901
1.03975506759156
1.03307208100345
1.02657723701965
1.02026168383658
1.0141171441222
1.00813586794089
1.00231059030554
0.8
0.9
12.6036472586473
6.37546196432559
4.59915313305057
3.74123048228821
3.22715054685349
2.88040823029246
2.62837838074324
2.43552009698624
2.28230058963914
2.15705060749847
2.05234519294638
1.96322106593156
1.88622618422616
1.81887999682769
1.75935073572155
1.70625402796229
1.65852258228823
1.61531920734148
1.57597716918392
1.53995832023177
1.50682308665814
1.47620855423012
1.44781220023817
1.42137963544992
1.39669524215285
1.37357493576592
1.35186050524347
1.33141514219194
1.3121198754568
1.29387070285214
1.27657626497644
1.26015594443343
1.24453830175397
1.22965977994103
1.21546362492447
1.20189898076977
1.18892012725781
1.17648583416856
1.16455881178511
1.15310524116408
1.14209437087494
1.13149816939914
1.12129102435429
1.11144948128478
1.10195201602576
1.0927788356688
1.0839117039865
1.07533378784915
1.06702952172069
1.05898448777651
1.05118530956281
1.04361955742983
1.03627566423156
1.02914285000293
1.0222110545081
1.01547087670753
1.00891352032223
1.00253074478344
0.9
1
15.4693545897615
7.40554518446137
5.20302458221181
4.16239333629966
3.54778787836855
3.13762654500603
2.84197314519938
2.61726652609014
2.43976253620816
2.2953726114374
2.1751844530576
2.07327059263655
1.98552671284633
1.90901526341926
1.84157477048658
1.78157700134778
1.72777040201755
1.67917594098385
1.63501590783463
1.594664068103
1.55761002831899
1.52343328002745
1.49178397524296
1.46236847176635
1.43493831589395
1.40928174046016
1.3852170293199
1.36258728454502
1.34125626023929
1.32110501620464
1.30202920809991
1.28393687633405
1.26674662912669
1.25038613960133
1.23479089494964
1.21990314935593
1.20567104271799
1.19204785511222
1.17899137304811
1.16646334829295
1.15442903375157
1.14285678380333
1.13171770881035
1.12098537535484
1.11063554524205
1.10064594749774
1.09099607855598
1.08166702662026
1.07264131682603
1.06390277436241
1.05543640314903
1.0472282780266
1.03926544872237
1.03153585410414
1.02402824544829
1.0167321176258
1.00963764726076
1.00273563704363
1
1.1
18.7180536561698
8.5129308173867
5.83590248842469
4.59674104121208
3.8746748672175
3.39754494477921
3.05627471355399
2.79853407791684
2.59601590161045
2.43203012659431
2.29607551320139
2.1812004142819
2.08261116881171
1.99688946202662
1.92152840867409
1.85464527207235
1.79479686773727
1.74085713312101
1.69193366961006
1.64730946895461
1.60640135336829
1.5687297721112
1.5338964782528
1.5015677774127
1.47146178390429
1.44333860378508
1.41699268586589
1.39224679927971
1.36894724588895
1.34696002038933
1.32616770508216
1.30646693950243
1.28776634376644
1.26998480293241
1.25305004078476
1.23689742729417
1.2214689759984
1.20671249670728
1.19258087598543
1.17903146333579
1.16602554528069
1.15352789289868
1.14150637103798
1.12993159954721
1.11877665856378
1.10801683126904
1.09762937862796
1.08759334153397
1.07788936651723
1.0684995517816
1.05940731083557
1.05059725139728
1.04205506759881
1.03376744380285
1.02572196858643
1.01790705764962
1.01031188457823
1.00292631853518
1.1
1.2
22.3535540762492
9.69242210072194
6.49420933028641
5.04182408253639
4.20606775938642
3.65888156593616
3.27031849285715
2.97858495342318
2.75049023166063
2.56657933914122
2.41467236103046
2.28674129781168
2.1772714029258
2.08234356827726
1.99909247847386
1.92537222267337
1.85954209602732
1.80032493898658
1.74671082187391
1.69788995566677
1.6532049518922
1.61211620016143
1.57417632882877
1.53901107557545
1.50630475951896
1.47578910829091
1.44723456603211
1.42044345983371
1.39524457495566
1.37148880969907
1.34904566610815
1.3278003938356
1.30765164889437
1.28850956160321
1.27029413220733
1.25293389076716
1.23636477160441
1.22052916304152
1.20537510120441
1.19085558288425
1.17692797731363
1.16355352053167
1.15069687903415
1.13832577180896
1.1264106417823
1.11492436925094
1.1038420211293
1.09314063086064
1.08279900467485
1.07279755055949
1.06311812687537
1.05374390801477
1.04465926488906
1.0358496583565
1.02730154397252
1.01900228667308
1.01094008419417
1.00310389819335
1.2
1.3
26.3761140630546
10.9387642970826
7.17464218877189
5.49549077231332
4.54049293180859
3.92059031628693
3.48334399535515
3.15685817666571
2.90276880821684
2.69871067710708
2.53074670744421
2.38972765763591
2.26939084491679
2.16529972562659
2.07421994240861
1.99373548967957
1.92200354927042
1.85759277663516
1.79937361687676
1.74644207415217
1.69806557914358
1.65364380659235
1.61267982464568
1.57475852202008
1.53953025076113
1.50669826553185
1.4760089660394
1.44724423623035
1.420215370725
1.39475821607309
1.3707292512987
1.348002401576
1.32646642916375
1.30602278259612
1.28658381244759
1.26807128243626
1.25041512007416
1.23355236284245
1.21742626490954
1.20198553641062
1.18718369276488
1.17297849579329
1.15933147178708
1.14620749437105
1.13357442216038
1.12140278294314
1.10966549752199
1.09833763748765
1.08739621212688
1.07681998043092
1.06658928479884
1.05668590355084
1.04709291979866
1.03779460458084
1.02877631247215
1.02002438813041
1.01152608245728
1.00326947723041
1.3
1.4
30.7831540312166
12.2468114127112
7.87420570529752
5.95587813560145
4.87672252471546
4.18183105265025
3.69476363386734
3.33293881867737
3.05255911835173
2.82822087287024
2.64416175933972
2.49007303936222
2.35892164090499
2.24573995188713
2.14691607715508
2.05975851864126
1.98221887015673
1.91270934990125
1.84997931794133
1.79302963368498
1.74105195702894
1.69338489204542
1.64948174930469
1.60888647858984
1.57121544752831
1.53614346917072
1.50339296228101
1.47272545175325
1.44393483821313
1.41684202003932
1.39129055984286
1.36714316525261
1.34427881019014
1.32259036407465
1.30198262693679
1.28237069125183
1.26367856853043
1.24583803182149
1.22878763534691
1.21247188027491
1.19684050170516
1.18184785669849
1.16745239694295
1.15361621263463
1.14030463653873
1.12748589911533
1.11513082714459
1.1032125795455
1.09170641510958
1.08058948771365
1.06984066526939
1.05944036924119
1.04937043203992
1.03961396999757
1.03015526995958
1.02097968781063
1.01207355748487
1.00342410920965
1.4
1.5
35.5698930284323
13.6116346328969
8.59021786397328
6.42139015536591
5.21374481908213
4.44193855817486
3.90413265737609
3.5065297494294
3.19966667863645
2.95498886286495
2.75485009250488
2.58774982396511
2.44586603724748
2.32368905506656
2.21722278344168
2.12349614197247
2.04025261343352
1.96574643151716
1.89860494197217
1.83773332634703
1.78224719652749
1.73142397434913
1.68466720806302
1.64147997182153
1.60144475441473
1.56420805793406
1.5294684644187
1.49696728981671
1.46648119167043
1.43781626858766
1.41080331054815
1.38529394551908
1.36115749035653
1.3382783596958
1.31655392034516
1.29589270395195
1.27621290974842
1.25744114366551
1.23951135120694
1.22236391005824
1.20594485508646
1.19020521362459
1.17510043306749
1.16058988608834
1.14663644140559
1.13320609013622
1.12026761947062
1.10779232678503
1.09575376843218
1.08412753837311
1.07289107257197
1.0620234757027
1.05150536723676
1.04131874441487
1.03144685996803
1.02187411275721
1.01258594975761
1.00356877802929
1.5
1.6
40.7298922754363
15.0285866982244
9.32029883931167
6.89067013241606
5.5507338312079
4.70039328896558
4.11112217868757
3.67742716063331
3.34397295153609
3.07895589422314
2.86279572412568
2.68277305126706
2.53026176007359
2.39920139632207
2.28520658112212
2.18502367406408
2.09618632581115
2.01678982710952
1.94533901933344
1.8806432052878
1.82174192602115
1.76785150650098
1.71832588185162
1.67262743526128
1.63030497868524
1.59097691103986
1.55431818393333
1.5200501047017
1.48793227954871
1.45775618904483
1.42934002162732
1.40252448592213
1.37716939147125
1.35315083770578
1.33035888813156
1.30869563439896
1.2880735757964
1.26841425556612
1.24964710759155
1.2317084763899
1.21454078064338
1.1980917962213
1.18231403915494
1.16716423260477
1.15260284471627
1.1385936865526
1.12510356114264
1.11210195618362
1.09956077416054
1.08745409464606
1.0757579643688
1.06445021131779
1.05351027971582
1.04291908316395
1.03265887365227
1.0227131244615
1.01306642525697
1.00370438791104
1.6
1.7
46.2555052081215
16.4933345682415
10.0623502821921
7.36257145788138
5.88702063147163
4.95679530678654
4.31549601734278
3.84550012631691
3.48541731361664
3.20010958815084
2.96801999046505
2.77518786951465
2.61217083068348
2.47235089674081
2.35094965956291
2.24442887969315
2.15011132520053
2.06593287332492
1.99027573161111
1.92185339347068
1.85962951126843
1.80275955561739
1.75054811931268
1.70241717412351
1.65788213173264
1.61653355462483
1.57802301714533
1.54205205578846
1.5083634471753
1.47673425970272
1.44697027079855
1.41890144575734
1.39237824922416
1.36726861522569
1.343455442119
1.32083450900295
1.29931273284735
1.27880670283994
1.25924144165443
1.24054935353215
1.22266932699016
1.20554596617009
1.1891289297276
1.17337236003775
1.15823438858178
1.14367670586084
1.1296641861815
1.11616455927942
1.10314812206787
1.09058748487885
1.07845734745277
1.06673430066677
1.05539665059919
1.04442426203435
1.0337984189341
1.0235016997574
1.01351786580696
1.00383176103396
1.7
1.8
52.1382415362333
18.0018702233702
10.8145300360148
7.83612931709461
6.22206759624425
5.21084186474443
4.51709138304927
4.01067395535369
3.62398266094434
3.31847144065649
3.07057064699824
2.86505999249629
2.69167118101085
2.54322364764172
2.41454334733447
2.30180619010417
2.20212356824499
2.1132718764958
2.03351085302084
1.96145846922565
1.89600283460723
1.83623893203985
1.78142237771885
1.73093508470357
1.6842593977109
1.64095835377668
1.60066043778336
1.56304768034764
1.52784627165792
1.49481909064492
1.46375970751328
1.43448753064229
1.40684385033626
1.38068859134373
1.35589762989953
1.33236056370058
1.30997884778569
1.28866422792485
1.26833741738163
1.24892697390729
1.23036834236706
1.21260303508205
1.19557792723278
1.17924464884115
1.16355905817295
1.14848078406867
1.13397282685928
1.1200012092651
1.10653467009297
1.09354439470714
1.08100377720168
1.06888820998883
1.05717489716907
1.04584268859055
1.03487193195836
1.02424434073283
1.01394287587534
1.00395163976906
1.8
1.9
58.3690563861855
19.5505070436071
11.5752254815614
8.31053464954712
6.55544600748837
5.4623085829738
4.71580307472424
4.17291686533932
3.75968410177637
3.43408717099406
3.1705135859029
2.95246855880704
2.76885047302658
2.61191254355809
2.47608343935563
2.35725262609534
2.2523200878445
2.15890299641195
2.07513902294092
1.99955107874224
1.9309522057118
1.86837736251969
1.81103362761776
1.75826326358581
1.70951592383861
1.66432746336766
1.62230359025477
1.58310711327037
1.54644789391733
1.51207485549723
1.47976957320474
1.44934109123207
1.42062170075074
1.39346347670266
1.36773541854244
1.34332107521794
1.3201165610874
1.29802888949852
1.27697456606701
1.25687839549312
1.23767246491637
1.21929527397243
1.20169098735424
1.18480879014515
1.1686023297503
1.1530292311037
1.13805067412559
1.12363102426529
1.10973750847854
1.09633993022619
1.0834104180978
1.07092320350236
1.0588544235627
1.04718194592772
1.03588521269856
1.02494510106852
1.01434379861588
1.00406469147507
1.9
2
64.938576433246
21.1358671612958
12.3430274412892
8.78511093500099
6.88681696511248
5.71103388978656
4.91157072918516
4.33222944597897
3.89256017954102
3.54701935835004
3.26792662181415
3.03750086178757
2.84380161215751
2.67851345146336
2.53566691927131
2.41086499009185
2.30079658638958
2.20292018391552
2.11525198040061
2.03622042748046
1.96456407603529
1.8992583987744
1.83946243068466
1.78447923338159
1.73372617545996
1.68671229627388
1.64302085688829
1.60229574092719
1.56423074823347
1.52856108700286
1.49505655433104
1.46351602612042
1.43376297161025
1.40564177649463
1.37901470918212
1.35375940238443
1.32976675048498
1.30693914455446
1.28518898324559
1.26443741040309
1.24461324000513
1.22565203669483
1.20749532617219
1.19008991447599
1.17338729897538
1.15734315692631
1.14191689989257
1.1270712843098
1.1127720700805
1.09898772040314
1.08568913711881
1.07284942674872
1.06044369313319
1.04844885319546
1.03684347286443
1.02560762061872
1.01472273647392
1.00417151453808
2
Coefficient of Variation
2.1
71.8372743100275
22.754863581045
13.1167057191603
9.25929392667423
7.21591534823811
5.95690630182327
5.10436862836519
4.48863640289905
4.02266612228065
3.65734187985877
3.36289488148079
3.12024851073087
2.91661954090341
2.74312252766782
2.59338971286346
2.46273798623844
2.34764586571025
2.24541387400752
2.15393748162441
2.07155138979048
1.99692031325877
1.92896083367572
1.86678447796395
1.80965558614862
1.75695967010309
1.70817933548953
1.66287573716779
1.62067413797971
1.58125254828053
1.54433270494197
1.50967284571321
1.47706187488345
1.44631461694617
1.41726792830369
1.38977749101684
1.36371515272483
1.33896670697068
1.31543003097036
1.29301351527737
1.27163473319855
1.25121930821198
1.23169994575657
1.21301560214602
1.19511076841049
1.1779348508895
1.16144163361794
1.14558881013772
1.13033757446331
1.11565226263378
1.10150003767598
1.08785061194598
1.07467600175739
1.06195030998436
1.04964953297427
1.03775138864533
1.0262351630957
1.01508157343076
1.00427264483493
2.1
2.2
79.055601291154
24.4046796572001
13.8951867990152
9.73261420380319
7.54253646559964
6.19985410310226
5.2941976067696
4.64218013246776
4.15006868982648
3.76513574664241
3.45550742076997
3.20080467320576
2.98739898775109
2.80583438123148
2.64934519346586
2.51296300999016
2.39295685417812
2.28647021240929
2.19127869473484
2.10562404576428
2.02809785855694
1.95755846063113
1.89307043586603
1.83385990280008
1.77928095899775
1.72879016803068
1.68192692562496
1.63829818198133
1.59756643210102
1.55944018594992
1.52366634035737
1.49002402365758
1.45831959127502
1.42838252842524
1.40006207344033
1.37322441782705
1.34775037111761
1.32353340275644
1.300477991723
1.27849822879124
1.25751662733212
1.23746310715782
1.21827412265794
1.19989191181778
1.18226384695714
1.16534187142794
1.14908200924369
1.13344393682628
1.11839060785324
1.10388792365655
1.08990444282851
1.07641112468245
1.06338110203625
1.05078947946893
1.03861315376828
1.02683065376329
1.01542199713447
1.00436856213119
2.2
2.3
86.5840867548843
26.0827476469045
14.6775338808709
10.2046822930213
7.8665250148057
6.43983701355254
5.48107865805106
4.79291574892399
4.27484226709519
3.87048601398845
3.54585477176079
3.27926212607862
3.05623292181104
2.8667408551766
2.70362322964875
2.5616274147256
2.43681405417811
2.32617065307786
2.22735392212784
2.13851350771297
2.05816863993489
1.98512005935856
1.91838599224314
1.8571548492096
1.80074976447196
1.74860165615744
1.70022851048054
1.65521927392001
1.61322119978201
1.57392981419415
1.53708088954045
1.50244397150497
1.46981711951152
1.43902260293749
1.40990335617838
1.38232004070764
1.35614859606183
1.3312781872373
1.3076094754796
1.28505315443738
1.26352870526606
1.24296333332789
1.22329105625258
1.20445191874905
1.18639131403355
1.16905939531831
1.15241056368328
1.13640302098037
1.12099837831022
1.10616131215435
1.09185926151127
1.07806216042691
1.06474220117167
1.05187362403169
1.03943253027835
1.02739671537872
1.01574551992832
1.00445969614029
2.3
2.4
94.4134114550765
27.786727439666
15.4629292311853
10.675176060508
8.18776598926589
6.67683948701781
5.66504790274354
4.9409072538293
4.39706592188806
3.97347951075608
3.63402718940873
3.35571190668654
3.12321152430914
2.92593025422803
2.75630961964034
2.60881411394619
2.47929728116541
2.36459180927109
2.2622365433786
2.17028993840203
2.08719965216947
2.01170952621552
1.94279202764397
1.87959838043705
1.82142121042888
1.76766618839923
1.71783024035942
1.67148461646935
1.6282615996797
1.58784397250869
1.54995659621386
1.51435962380542
1.4808429883755
1.4492218954138
1.41933311182436
1.39103189188464
1.36418941599637
1.33869064499877
1.31443251334055
1.29132240018287
1.269276829721
1.24822036153968
1.22808463929699
1.20880757194232
1.19033262637198
1.17260821418316
1.15558715820669
1.13922622693936
1.12348572697901
1.1083291451824
1.09372283359191
1.07963573126837
1.06603911806951
1.05290639616245
1.04021289568254
1.02793570147235
1.01605349827276
1.00454643210639
2.4
2.5
102.534460315985
29.5144861368002
16.2506587108866
11.1438300722537
8.50617720883986
6.91086533276066
5.84615263921886
5.08622459885259
4.51682120513568
4.07420319008952
3.72011342117263
3.43024240628245
3.18842153550307
2.98348689212207
2.80748579828932
2.65460141615966
2.52048160143125
2.40180547421463
2.29599510270511
2.20101869221699
2.11525314094726
2.03738609245593
1.96634486033985
1.90124400638982
1.84134610349865
1.78603197186464
1.73477782409648
1.68713751818511
1.64272863436647
1.6012214478419
1.56233011803141
1.52580559122275
1.49142983989234
1.45901115375522
1.42838026497518
1.39938713993705
1.37189830740291
1.34579462115105
1.32096937674556
1.29732671863896
1.27478028662315
1.25325206063273
1.23267137074385
1.21297404540308
1.19410167584134
1.17600097855969
1.15862324093445
1.14192383754116
1.12586180687001
1.11039947979525
1.09550215254694
1.08113779807288
1.06727681062125
1.05389177915567
1.0409572858661
1.02844972658267
1.01634715035678
1.0046291158575
2.5
2.6
110.938359329428
31.2640788636102
17.0400982901631
11.6104266378126
8.82170319354547
7.1419334060342
6.02444825289296
5.22894144438458
4.63419052032544
4.1727429491706
3.80419986542672
3.50293878716946
3.2519458719237
3.03949086508717
2.85722873337484
2.69906301818658
2.56043740216918
2.43787875189277
2.32869348765045
2.23076053137623
2.14238684817821
2.06220459174033
1.98909653034271
1.92214108763727
1.86057123673024
1.80374334053801
1.75111324089639
1.70221770322572
1.65665986797432
1.61409773458977
1.57423496529487
1.53681348110053
1.50160745525864
1.46841840570045
1.43707115869158
1.40741050833389
1.37929843576407
1.35261178152151
1.32724028712214
1.30308493920179
1.28005656299755
1.25807462238143
1.23706619185526
1.21696507238546
1.19771102809608
1.17924912494391
1.16152915579846
1.14450513901302
1.1281348797346
1.11237958496378
1.09720352481906
1.08257373364864
1.06845974561399
1.05483336018373
1.04166843365429
1.02894069338034
1.01662757187319
1.0047080583252
2.6
2.7
119.616500191249
33.0337310036978
17.8307023392529
12.0747882813884
9.13431014247458
7.37007415916206
6.19999580348969
5.36913345862531
4.74925592787336
4.26918280160058
3.88637001731451
3.57388263496763
3.31386343629424
3.09401798321046
2.90561095105394
2.74226810368433
2.59923054673988
2.47287425620336
2.36039116191767
2.25957188426351
2.16865428921952
2.08621575088211
2.0110950992865
1.94233514082499
1.87913969756927
1.82084106336562
1.76687504649286
1.71676161389462
1.67008972371566
1.6265053259275
1.58570178512642
1.54741217367097
1.51140302242234
1.47746921722949
1.44542980327674
1.41512451422344
1.38641088407064
1.35916183064813
1.33326362318545
1.30861416452334
1.28512153251294
1.26270273604887
1.24128264972887
1.22079309787754
1.20117206402812
1.18236300623402
1.16431426201668
1.14697852952996
1.13031241377088
1.11427602850081
1.09883264604319
1.08394838835922
1.06959195382335
1.05573437496654
1.04234880315942
1.02941031679629
1.01689575003405
1.0047835395553
2.7
2.8
128.560555545413
34.8218219190117
18.6219934851965
12.5367714159709
9.44398181926313

7.59532688379239
6.37286014703938
5.506877035615
4.86209828092648
4.36360431379958
3.96670412582503
3.64315178017028
3.37424906303634
3.14713981003168
2.95270064714069
2.78428150904363
2.63692258200874
2.50685034944843
2.39114342690158
2.28750512355116
2.19410504242491
2.10946648666175
2.03238495113653
1.96186814053979
1.89709116864416
1.83736264213634
1.7820986666289
1.73080269849605
1.68304976511328
1.63847398759608
1.59675862714661
1.55762807908575
1.52084138403392
1.48618693109105
1.45347810511032
1.42254968736681
1.39325486170028
1.36546271049332
1.33905610941501
1.31392994871047
1.28998962338922
1.26714974601175
1.24533304466829
1.22446941576139
1.20449510677426
1.18535200865444
1.16698704101231
1.14935161621588
1.13240117079964
1.11609475451038
1.10039466887167
1.08526614843098
1.07067707891197
1.05659774737201
1.04300062019565
1.02986014536441
1.01715257595503
1.00485581224827
2.8
2.9
137.762487086102
36.6268701399566
19.4135538364689
12.9962610276508
9.75071617980424
7.81773750769798
6.54310847912709
5.64224833747719
4.97279661302254
4.45608623817472
4.04527900495031
3.71082024021374
3.43317355756806
3.19892377444246
2.99856185327041
2.82516392995287
2.67357097468831
2.53986140022533
2.42100169469256
2.31460884924254
2.21878503819909
2.13200019767967
2.05300708426602
1.98077880953986
1.91446221448275
1.85334259334095
1.79681667297601
1.74437168044377
1.69556895760136
1.65003101144028
1.60743118851095
1.56748537360942
1.52994526453451
1.49459288458985
1.46123607499441
1.42970476894809
1.39984789363558
1.37153078004584
1.34463298604271
1.31904645772351
1.29467396924979
1.2714277931247
1.24922856213023
1.22800429142455
1.20768953508186
1.18822465597236
1.1695551915837
1.1516313013733
1.1344072836641
1.11784115207014
1.10189426305391
1.08653098754574
1.07171842065155
1.05742612438432
1.0436258991102
1.03029158003184
1.01739885556061
1.00492510487399
2.9
3
147.214548275944
38.4475199621724
20.2050173948439
13.4531662062314
10.054522607168
8.03735683632278
6.71080920977974
5.77532258719389
5.08142771656043
4.54670429213241
4.12216795619922
3.77695824604812
3.49070379893114
3.24943332905514
3.04325463600015
2.86497214996859
2.70922936081945
2.57195804724254
2.45001376112849
2.34092816697782
2.2427368394283
2.15385704444241
2.07299938924249
1.99910289269101
1.93128655036851
1.86881271097428
1.81105903911376
1.75749680681486
1.70767390918466
1.66120144781368
1.61774303779035
1.57700621477768
1.53873547645445
1.50270660693697
1.46872201650764
1.43660689091734
1.40620599080856
1.37738097670149
1.35000816152312
1.32397661300451
1.299186543988
1.27554794091522
1.25297939034609
1.23140707091243
1.21076388410111
1.19098870204274
1.1720257143173
1.15382385888167
1.13633632473203
1.11952011595631
1.10333566850326
1.08774651236824
1.07271897302935
1.0582219069066
1.04422646639834
1.03070589070124
1.01763531916684
1.00499162440678
3
3.1
156.90928304923
40.2825293599698
20.9960634932812
13.9074163840175
10.3554196432079
8.25423915104364
6.87603109934128
5.90617355467578
5.18806586530971
4.63553104443801
4.19744077059925
3.84163232671453
3.54690288365412
3.29872813658648
3.08683531342288
2.90375927821339
2.7439477976595
2.60318746014854
2.47822407153324
2.36650495556603
2.26599990838541
2.17507421375423
2.09239690923411
2.01687341223938
1.94759529158634
1.88380230906282
1.8248533758088
1.77020407597885
1.7193890901198
1.67200831709774
1.627715818181
1.58621093620585
1.54723110677235
1.51054599714737
1.47595269545825
1.44327173703978
1.41234380280543
1.38302696069838
1.35519434878605
1.32873221964355
1.30353828195131
1.27952028789539
1.25659482487525
1.23468627784037
1.21372593477522
1.19365121279708
1.17440498629635
1.15593500174721
1.13819336640752
1.12113610023743
1.10472274209168
1.08891600265962
1.07368145779629
1.05898727685813
1.04480398146226
1.03110423076184
1.01786262989322
1.00505555872467
3.1
3.2
166.839521562517
42.1307591136681
21.7864111180734
14.3589581669996
10.6534331266222
8.46844109365335
7.03884259967046
6.03487319169037
5.29278264515629
4.72263587986522
4.27116378647693
3.90490543251384
3.60183029492435
3.3468642711887
3.12935667859128
2.94157498746421
2.77777301088687
2.63359359166858
2.50567397460619
2.39137812019823
2.28861085740474
2.19568616542441
2.11123208165326
2.03412090355431
1.96341718263
1.89833844386113
1.83822514585031
1.78251744482193
1.73073703235759
1.68247280125467
1.63736943111097
1.59511822323276
1.55544968461211
1.51812748383171
1.48294349183264
1.44971368707924
1.41827475437575
1.38848124405228
1.36020318670622
1.33332408049642
1.30773918482462
1.28335406733133
1.26008336138287
1.23784969930282
1.2165827930042
1.19621863878474
1.17669882714181
1.15796994176423
1.13998303453216
1.12269316553303
1.10605899888181
1.09004244659628
1.0746083539844
1.05972422099967
1.04535995485133
1.03148764984935
1.01808139104474
1.00511707871355
3.2
3.3
176.998373814592
43.9911630442472
22.5758139918263
14.8077526617127
10.948594663897
8.68002078063425
7.19931135680464
6.16149138115472
5.39564686569635
4.80808502023844
4.34339998543062
3.96683708261188
3.65554208567623
3.3938944255816
3.17086822244669
2.97846574684699
2.81074863260041
2.6632174175801
2.53240196187442
2.41558382949268
2.31060368209821
2.21572486058286
2.12953496076842
2.05087363143958
1.97877880677602
1.91244611637657
1.85119785931161
1.79445901660815
1.74173850992679
1.69261441670452
1.64672220161866
1.60374527083799
1.56340733175944
1.52546616839038
1.48970853575915
1.45594594563434
1.42401116725157
1.39375530547506
1.3650453482413
1.33776209766514
1.31179841657773
1.28705773578266
1.26345277789617
1.2409044619707
1.21934095970631
1.19869687931997
1.17891255736448
1.1599334421901
1.14170955549815
1.12419502067805
1.10734764845308
1.09112857186613
1.07550192387865
1.060434551884
1.04589576429189
1.03185710505318
1.01829215259196
1.0051763401134
3.3
3.4
187.37922176967
45.862779250452
23.3640563105596
15.2537732171379
11.2409403731635
8.88903710203804
7.35750384052426
6.28609577401651
5.49672453174303
4.89194158539884
4.41420911350042
4.02748352682673
3.70809106753024
3.43986811768557
3.21141635138866
3.01447504544835
2.84291542739137
2.69209716260394
2.55844389144677
2.43915573566027
2.33200997685733
2.23521997172729
2.14733342172022
2.06715778770657
1.99370477692873
1.92614845629842
1.86379325045103
1.80604921079842
1.75241270166302
1.7024511699908
1.6557910270092
1.61210792536398
1.57111889754043
1.53257595315136
1.4962608290166
1.46198065713545
1.42956436875486
1.39885969271737
1.369730636636
1.34205536269021
1.31572438777204
1.29063905164892
1.26671020771459
1.24385709948737
1.22200639281974
1.20109133920698
1.18105104992872
1.16182986426002
1.14337679782407
1.1256450594666
1.10859162691808
1.09217687305907
1.07636423588057
1.06111992628893
1.04641266878329
1.03221347076641
1.01849541686352
1.00523348513921
3.4
3.5
197.975710470755
47.7447222485112
24.1509490430908
15.6970035144976
11.530509852081
9.09554916876653
7.5134850735583
6.40875169293571
5.59607885875624
4.97426568173789
4.48364781797995
4.08689791423407
3.75952699995366
3.48483189251436
3.25104459636272
3.04964360463015
2.87431150501426
2.72026851134324
2.58383319569831
2.46212517782618
2.35285913301044
2.25419907514347
2.16465334680452
2.08299767105069
2.00821790891964
1.93946688862578
1.87603143763173
1.81730691626973
1.76277733776863
1.71199969774783
1.66459151031526
1.6202208115705
1.57859807958023
1.53946965595099
1.50261235356002
1.46782900844148
1.43494478859291
1.40380411369068
1.37426807099853
1.34621223670792
1.31952483042364
1.29410514486141
1.26986220405082
1.24671361217661
1.2245845621929
1.20340697892468
1.18311877584104
1.16366320828595
1.14498830886758
1.12704639307905
1.10979362516165
1.09318963581283
1.07719718465286
1.06178186144991
1.0469118210051
1.03255754735161
1.01869164355194
1.00528864390578
3.5
3.6
208.781738515477
49.6361759214494
24.936326713925
16.1374359490408
11.8173453298594
9.29961587921466
7.66731843891584
6.52952208662705
5.6937703199984
5.05511450905906
4.55176979289031
4.14513046336363
3.80989677579286
3.5288295165691
3.28979381158101
3.08400957786286
2.90497251903889
2.7477648041109
2.6086010730971
2.48452136901986
2.37317852038905
2.27268782664608
2.18151879512383
2.09841585045251
2.02233937857511
1.95242128437684
1.88793106769155
1.82824962939754
1.77284883168386
1.72127539245496
1.67313808004155
1.62809744648588
1.58585753188371
1.54615911257047
1.50877416844179
1.47350132037477
1.44016204513607
1.40859751761574
1.37866596244574
1.35024042171611
1.32320686451102
1.29746257875119
1.27291479737454
1.24947951997473
1.22708049821392
1.20564835905986
1.18511984448979
1.16543715000263
1.1465473472745
1.12840187872792
1.11095611377417
1.09416895812162
1.07800250888841
1.06242174937176
1.04739427825111
1.0328900687743
1.01888125412121
1.00534193568169
3.6
3.7
219.791448177441
51.5363871926169
25.7200446021932
16.5750702572549
12.101490970843
9.5012955819567
7.81906554834949
6.64846752233332
5.78985671612853
5.13454247888923
4.61862592806316
4.20222863033788
3.85924460062131
3.57190216303735
3.32770236185966
3.11760873760375
2.93493185144239
2.77461721795001
2.63277666475403
2.50637156763348
2.39299365327735
2.29071012175026
2.19795215682159
2.11343331339667
2.03608886390201
1.96503009676785
1.89950944617469
1.83889357842327
1.78264239869065
1.73029251538914
1.68144409758701
1.63575034142478
1.59290896157781
1.55265526833324
1.51475649639401
1.47900712941794
1.44522502235644
1.41324816732825
1.38293198189826
1.35414702397821
1.32677705710412
1.30071740501618
1.27587354632724
1.25215990939912
1.22949883493589
1.20781967968849
1.18705803937882
1.16715507274654
1.14805691169299
1.12971414499399
1.11208136509363
1.09511676916518
1.0787818070046
1.06304086946377
1.04786101207851
1.0332117093367
1.01906463569335
1.00539346999469
3.7
3.8
230.999215386654
53.4446603459012
26.5019762989518
17.0099123507011
12.3829923030128
9.70064581572513
7.96878615851614
6.76564620670591
5.88439326017902
5.21260133915025
4.68426445821948
4.25823727246518
3.90761216428453
3.61408858685521
3.36480629816218
3.15047464922715
2.96422078347813
2.80085493344448
2.65638721649702
2.52770123431005
2.41232834182873
2.30828824145061
2.2139742931447
2.12806960020242
2.0494846737168
1.97731048420484
1.91078265477386
1.84925383545175
1.7921721625817
1.73906429808959
1.68952195363342
1.6431910934316
1.59976321554098
1.55896826005104
1.52056880122049
1.48435526067834
1.45014193848877
1.41776370375704
1.38707322049341
1.35793861048477
1.33024147498497
1.30387521260766
1.27874358297762
1.25475947527231
1.2318438483657
1.20992481532211
1.18893684982082
1.16882009598258
1.14951976621661
1.13098561426598
1.11317147271924
1.09603484597077
1.07953655102549
1.0636403997116
1.04831291683617
1.03352308962697
1.01924214448091
1.00544334760751
3.8
3.9
242.399639728616
55.3603519227406
27.2820115735161
17.4419733240919
12.6618957495858
9.89772311158452
8.11653812420797
6.88111402755274
5.97743267257443
5.28934030145523
4.74873110950403
4.31319880565119
3.95503880369735
3.65542528922133
3.40113952135148
3.18263883233145
2.99286865339722
2.82650528808998
2.67945822738997
2.54853417529522
2.4312048300688
2.32544298478906
2.22960466355831
2.14234292571651
2.06254386398266
1.98927842135557
1.92176565724484
1.85934441732739
1.80145125162431
1.74760303353938
1.6973831546767
1.65043046729331
1.60643035802845
1.56510748939015
1.52621985702969
1.48955389311043
1.45492040736151
1.42215120347927
1.39109624347617
1.36162125928813
1.33360573153007
1.30694117126061
1.28152965309664
1.25728255783463
1.2341194905038
1.21196734596085
1.19075949908654
1.17043510062902
1.15093846296187
1.13221852264456
1.11422836881277
1.09692482818034
1.08026809888079
1.06422142657122
1.04875081721472
1.03382478178431
1.0194141088237
1.00549166138092
3.9
4
253.987534579764
57.2828661333092
28.0600545066579
17.8712686105605
12.9382482458068
10.0925828451273
8.26237738024287
6.99492461061403
6.06902528216774
5.36480616831873
4.81206924173426
4.36715335461396
4.0015616564291
3.69594667151901
3.43673393442939
3.21413090994974
3.02090300173927
2.85159391708665
2.7020135856664
2.56889267330356
2.44964392159291
2.34219378935835
2.24486144108347
2.15627028955067
2.07528234303843
2.00094879947914
1.9324723949573
1.86917837653372
1.81049188494
1.75592015815788
1.70503840076435
1.65747846915254
1.61291974028886
1.57108168861663
1.53171781022994
1.49461061787862
1.45956749324069
1.42641723015483
1.39500713832974
1.3652006044306
1.33687502853378
1.3099200703061
1.28423615204888
1.25973317580108
1.23632941964968
1.21395058472724
1.19252896944337
1.17200275157455
1.15231536213422
1.13341493762504
1.11525383946331
1.09778823115989
1.08097770531993
1.06478495374578
1.0491754749419
1.03411731416633
1.01958083187994
1.00553849703835
4
Coefficient of Variation
4.1
265.757917464524
59.2116507259564
28.8360218545841
18.2978172614861
13.2120969262199
10.2852791288632
8.40635794535601
7.1071293868529
6.15921913028105
5.43904345834403
4.87431998521441
4.42013889533785
4.04721580495098
3.73568517885196
3.47161958372035
3.24497874631071
3.04834970498225
2.87614488244985
2.72407569305228
2.58879760692826
2.46766509402427
2.35855884082965
2.25976161695669
2.16986757596373
2.08771496681257
2.01233551709321
1.94291587314376
1.87876788315616
1.81930545031429
1.76402632558977
1.71249765539422
1.66434441264357
1.61924006306159
1.57689897957505
1.53707023510567
1.4995324906426
1.46408975993206
1.4305678805487
1.39881155781717
1.36868187610046
1.34005419356988
1.31281635332575
1.28686715682365
1.26211505584927
1.23847702742342
1.21587760249498
1.19424802446202
1.1735255177304
1.1536526498906
1.13457677383258
1.11624953835478
1.09862645765663
1.08166653161401
1.06533190998508
1.0495875947304
1.03440117549416
1.01974259401551
1.00558393384449
4.1
4.2
277.706000694175
61.146193265125
29.6098416128091
18.7216413319047
13.4834888703078
10.4758647368576
8.54853194282172
7.21777766678191
6.24806007551407
5.51209452803421
4.93552237140179
4.47219138952478
4.09203441165365
3.77467143356289
3.50582478956355
3.27520857385947
3.07523309836813
2.90018079133332
2.74566557842646
2.6082685595795
2.48528660323941
2.37455517252123
2.27432109562947
2.1831496444002
2.09985562502214
2.02345156196196
1.95310823880901
1.88812429884641
1.82790257434836
1.77193147317442
1.71977020842845
1.67103697837416
1.62539943274553
1.58256692665892
1.54228418369962
1.5043260784573
1.46849331480007
1.43460882576593
1.40251475852515
1.37206993657339
1.34314771341548
1.31563414913938
1.28942645466391
1.26443165896385
1.24056546289661
1.2177512498743
1.19591922892124
1.1750056899167
1.1549523542669
1.13570580704787
1.11721699894444
1.09944080818281
1.08233565419506
1.06586315602868
1.04998782957107
1.0346768185402
1.01989965492899
1.00562804520871
4.2
4.3
289.827182328443
63.0860177735219
30.381451753443
19.1427653555764
13.7524708965096
10.6643910551897
8.68894963363509
7.32691671915478
6.33559189767958
5.58399968931247
4.99571345703276
4.52334491102969
4.13604884490101
3.81293435920656
3.53937626713645
3.30484511027157
3.10157608871698
2.92372290443275
2.76680300172381
2.62732391887858
2.50252557829921
2.3901987559485
2.28855478104278
2.19613041160933
2.11171731926474
2.03430908529366
1.96306085116685
1.89725824363087
1.83629318576942
1.77964488188462
1.72686473278336
1.67756426748467
1.631405411941
1.58809258444426
1.54736623064242
1.50899750189799
1.4727838482836
1.43854534824879
1.40612163542938
1.37536931242873
1.34615976399707
1.31837729955598
1.29191756869411
1.26668620400977
1.24259765417654
1.21957417686957
1.19754496659859
1.17644539684348
1.1562163594039
1.1368036867302
1.11815764533327
1.1002324902812
1.08298607236273
1.06637949079761
1.0503767854519
1.03494466341492
1.02005225554518
1.00567089922258
4.3
4.4
302.11703748591
65.0306816992942
31.1507991131781
19.5612158963141
14.0190893963662
10.8509080530208
8.82765945895634
7.43459185198303
6.42185639968198
5.65479732216547
5.05492844154718
4.57363176442609
4.1792887964884
3.85050129550713
3.5722992380563
3.3339116661903
3.12740025801775
2.94679123529663
2.78750654893168
2.64598096737057
2.51939810795125
2.40550458321696
2.30247665502842
2.20882292618235
2.12331223382417
2.04491946894823
1.97278434538226
1.90617965631745
1.8444865726285
1.7871752304377
1.73378933557126
1.68393384993331
1.63726506498618
1.59348254058019
1.55232251349532
1.51355247294869
1.47696666941921
1.44238237501971
1.40963675293779
1.37858422346979
1.34909423726117
1.32104938426453
1.2943437808975
1.26888168885933
1.24457632774334
1.22134885048409
1.19912745619787
1.17784661941323
1.157446418275
1.13787194721829
1.11907280198553
1.10100262680732
1.08361871517101
1.06688165692586
1.05075502557276
1.03520510050166
1.02020061970535
1.0057125591396
4.4
4.5
314.57131001811
66.9797731734138
31.9178384124482
19.9770211642839
14.2833902019649
11.035464270052
8.96470808921501
7.54084649433073
6.50689350650378
5.72452398206789
5.11320077781748
4.6230825959549
4.22178239093587
3.88739810485712
3.60461753340698
3.36243024439682
3.15272595854677
2.96940464132164
2.80779371897081
2.66425596535148
2.53591931949698
2.42048674204341
2.31609984861016
2.22123943626538
2.13465179992836
2.05529338637311
1.98228869031528
1.9148978491739
1.85249143403522
1.79453064420375
1.74055160429419
1.69015280808229
1.64298499903761
1.59874295446057
1.55715876910527
1.51799632912824
1.48104673782128
1.44612450759454
1.41306437281207
1.38171860872507
1.35195476532298
1.32365374319446
1.29670815274978
1.27102090935751
1.24650402580247
1.22307757051275
1.20066876563238
1.17921120354283
1.1586441640928
1.13891201776542
1.11996370243445
1.10175226334563
1.08423444759318
1.06737034571079
1.05112307411634
1.03545849308179
1.02034495567883
1.00575308380408
4.5
4.6
327.185904553588
68.9329085264225
32.6825313889615
20.3902106877493
14.5454184810246
11.2181068169441
9.10014047782395
7.64572227772482
6.59074136073195
5.79321450202696
5.17056227630456
4.6717264971793
4.26355628708029
3.92364927092122
3.63635368882275
3.39042163109095
3.17757240022117
2.99158090715595
2.82768100319081
2.68216422653927
2.5521034507467
2.43515848411796
2.32943670690323
2.23339145112941
2.14574675412295
2.06544085791057
1.99158324088871
1.92342155747785
1.86031592700712
1.80171873946585
1.7471586486215
1.69622777609385
1.64857140118052
1.60387959213985
1.56188036641251
1.52233406427145
1.48502869251446
1.44977604893973
1.41640847931933
1.38477614986051
1.35474474220203
1.32619349663441
1.2990135437776
1.27310647637384
1.24838312188136
1.22476248373204
1.2021708248547
1.18054087167741
1.15981112054912
1.13992523154569
1.120831497093
1.10248237486156
1.08483407605025
1.06784620155127
1.05148141962807
1.03570517968709
1.02048545751719
1.0057925280353
4.6
4.7
339.95687891182
70.8897300371957
33.444846031125
20.8008150321975
14.8052186549244
11.3988813859221
9.23399991789271
7.74925911631923
6.67343641425779
5.86090208921773
5.22704320284403
4.71959110171012
4.30463577244337
3.95927798989905
3.66752903223525
3.41790547992223
3.20195773084633
3.01333682117893
2.8471839581503
2.69972018725441
2.56796391571913
2.44953228745102
2.34249884824125
2.24528979721014
2.1566071913545
2.07537130105139
2.00067678563442
1.93175898447286
1.8679677089469
1.80874666352477
1.75361713822247
1.70216497558613
1.65403007199836
1.60889785790151
1.5664923360987
1.52657035633342
1.48891687796618
1.45334102780159
1.41967280192282
1.38776029229297
1.35746734341657
1.32867156336252
1.30126262827695
1.27514083115879
1.25021583487064
1.22640559667114
1.20363543740019
1.18183723314668
1.1609487110229
1.1409128337504
1.12167726027399
1.10319387167869
1.08541835337712
1.0683098259336
1.05183051805098
1.03594547621144
1.02062230626961
1.00583094297222
4.7
4.8
352.880436882165
72.8499038894824
34.2047558988603
21.2088655600212
15.0628343357693
11.577832269307
9.366328100681
7.85149528518493
6.75501351593737
5.92761841627475
5.28267237031838
4.76670267538835
4.34504485085097
3.99430625498238
3.6981637648581
3.4449003893692
3.22589910986772
3.03468824567166
2.86631727229366
2.71693746971481
2.58351336467986
2.46361991328659
2.35529721809699
2.25694466916713
2.16724261329553
2.08509357614843
2.00957758991296
1.93991784220581
1.87545397620389
1.81562113108478
1.75993333707158
1.70797024794765
1.65936645598103
1.61380282283999
1.57099939741806
1.53070959254091
1.4927153676258
1.45682322069653
1.42286083578332
1.39067426425961
1.36012554367461
1.33109067701011
1.30345791039785
1.2771262591949
1.25200424168544
1.22800878712432
1.20506429078985
1.18310179349562
1.16205826687405
1.14187598887879
1.1225019965098
1.1038876048583
1.08598798329126
1.06876178101722
1.05217079545518
1.03617967780968
1.02075567107556
1.00586837638329
4.8
4.9
365.952921359551
74.8131183147174
34.962239521
21.6143942249566
15.3183082792433
11.7550023841456
9.49716517481205
7.95246749628011
6.83550599511429
5.99339370737311
5.33747722450397
4.81308620031845
4.38480632376835
4.02875493451755
3.72827703594845
3.47142397402252
3.24941277618952
3.05565018124051
2.88509482708168
2.73382893999393
2.59876373905592
2.47743245810534
2.36784213830526
2.26836567645454
2.1776619723866
2.09461602804831
2.01829343524711
1.94790538866878
1.88278149912481
1.82234845730827
1.76611313459644
1.71364908366275
1.66458566910726
1.61859925077481
1.57540598251346
1.53475589217693
1.49642798523997
1.46022617181642
1.42597586031013
1.39352109406713
1.36272213287112
1.33345340085387
1.30560173777589
1.27906490271013
1.2537502887003
1.22957381454563
1.20645896592059
1.18433596290457
1.16314103492598
1.14281578731405
1.12330664625134
1.10456437104938
1.08654362442062
1.06920259286603
1.0525026504971
1.03640806060812
1.02088571014881
1.00590487294544
4.9
5
379.170807826183
76.7790819020176
35.7172798599032
22.0174333963503
15.5716823505409
11.9304333014561
9.62654980548914
8.05221097179587
6.91494574099145
6.05825681927758
5.39148392439915
4.85876545314407
4.42394186579817
4.06264384435506
3.75788701184835
3.49749293028488
3.27251411057575
3.07623682600684
2.90352975308243
2.75040676113822
2.61372632171075
2.49098040118844
2.38014335204428
2.27956188584457
2.1878737120209
2.10394652405013
2.02683165516197
1.95572846162162
1.88995665395392
1.82893458788307
1.77216207399632
1.71920664896046
1.66969252389812
1.62329162177843
1.57971625848448
1.5387131272506
1.50005832418263
1.46355321107326
1.42902095597219
1.39630362571792
1.36525973057535
1.33576214120773
1.30769631386992
1.28095877200007
1.25545580209289
1.23110232944888
1.20782094555482
1.18554106379983
1.16419818422717
1.14373325126421
1.12409209101546
1.10522491686828
1.08708589394003
1.06963275436514
1.05282645663882
1.0366308832478
1.02101257166514
1.00594047449569
5
5.1
392.53069816686
78.7475220584086
36.4698638351674
22.4180157090542
15.8229975011139
12.1041652788852
9.75451923313567
8.15075951468218
6.99336327790151
6.12223531756873
5.44471741734705
4.90376307794766
4.4624720947667
4.09599181483831
3.78701093977231
3.52312309696
3.29521769310587
3.09646163002992
2.9216344814812
2.76668244189273
2.62841178301634
2.50427364816554
2.39221006498503
2.29054186029834
2.19788580325096
2.11309248855629
2.03519916788158
1.96339350943012
1.89698545190265
1.8353851264078
1.77808537802234
1.72464781006361
1.67469155220444
1.62788415356732
1.58393414744318
1.5425849412752
1.50360976500927
1.46680747048073
1.43199901955463
1.39902453308689
1.36774079917032
1.33801915956532
1.30974370914531
1.28280975568803
1.25712249721484
1.23259588192154
1.20915162200782
1.18671833774347
1.16523081217087
1.14462934013797
1.12485915804165
1.10586994285998
1.08761537085968
1.07005272785785
1.05314256415419
1.0368483882793
1.02113639456448
1.00597522025851
5.1
5.2
406.029314804454
80.7181836042087
37.2199818993771
22.8161739353664
16.0722937543484
12.2762372958085
9.8811093310214
8.24814557624236
7.07078783657045
6.18535554827293
5.4972015092656
4.94810065414159
4.50041663679956
4.12881675285256
3.81566520677159
3.54832951116384
3.31753735611548
3.11633734538753
2.93942079142548
2.78266688143996
2.64283022311558
2.51732157092724
2.40405098297548
2.30131369453763
2.20770577835729
2.1220609347409
2.04340250619388
1.97090661921798
1.90387356567338
1.84170535936669
1.7838879724775
1.72997715528341
1.6795870259611
1.63238082097663
1.58806334476629
1.54637476635143
1.50708549142154
1.46999189904718
1.43491277802467
1.40168633280202
1.37016765578753
1.34022658362586
1.3117458712262
1.28461963003673
1.25875198709428
1.23405592934768
1.21045230411924
1.18786895168017
1.16623995004251
1.14550495541665
1.12560862451145
1.10650010708668
1.08813259900346
1.07046294753363
1.05345130194512
1.0370608034253
1.02125730927686
1.00600914705146
5.2
5.3
419.663495141466
82.6908274901554
37.967627659746
23.2119408759548
16.3196101985901
12.4466870900885
10.0063546615494
8.34440032074875
7.14724742150019
6.24764270513268
5.5489589302912
4.99179875970095
4.53779418676371
4.16113569932492
3.84386539427209
3.57312645995477
3.33948623301447
3.13587607229957
2.95689985358078
2.79837041051741
2.65699121072904
2.53013304424414
2.4156743465892
2.3118850476341
2.21734076158261
2.13085849352692
2.0514478447622
1.97827354259828
1.91062635369066
1.84790027893509
1.78957450766604
1.73519901517771
1.68438297611471
1.6367853737143
1.59210733572885
1.55008583873028
1.51048850480607
1.47310927633441
1.43776480115144
1.40429139596398
1.37254248316282
1.34238641732074
1.31370463412516
1.28639006741172
1.26034579016185
1.23548384342406
1.21172422358515
1.18899400360964
1.16722656805594
1.14636094507639
1.12634122137752
1.10711602838375
1.08863808971088
1.07086382159396
1.05375297918865
1.03726834272532
1.02137543838047
1.00604228947166
5.3
5.4
433.430186293297
84.6652296243265
38.7127975402939
23.6053492671405
16.5649849861998
12.6155511958608
10.1302885309681
8.43955368708057
7.22276887461763
6.309120892756
5.60001139613231
5.03487703006939
4.57462256442686
4.19296488253652
3.87162632854978
3.59752752804479
3.36107680333974
3.15508930164397
2.97408227023781
2.8138028292438
2.67090381882472
2.54271647939931
2.42708796283358
2.32226317289934
2.22679749730323
2.13949144013175
2.05934102513169
1.98549971922131
1.91724888226558
1.85397460383045
1.79514937799615
1.74031748096626
1.68908320990832
1.64110135256802
1.59606941068302
1.55372121301015
1.51382163749333
1.4761622248188
1.44055751300779
1.40684195882451
1.37486733952511
1.34450054994443
1.31562172664625
1.28812264398481
1.26190533728141
1.23688091654327
1.21296854071758
1.19009452774527
1.16819157993253
1.14719810760801
1.12705763684374
1.10771828931836
1.08913232429163
1.0712557342196
1.05404788683278
1.03747120757511
1.02149089719916
1.00607468006502
5.4
5.5
447.326440098903
86.6411797982012
39.4554904798806
23.9964317022953
16.8084553375323
12.782864981844
10.2529430423441
8.5336344474211
7.297377935351
6.36981318588226
5.65037966541694
5.07735421304957
4.61091876666109
4.22431976758024
3.89896212747793
3.62154564192269
3.38232093436714
3.17398795418193
2.99097811227833
2.82897344195133
2.68457665743784
2.55507985511066
2.4382992342829
2.33245494533013
2.23608237588095
2.14796571841376
2.06708757865231
1.99259029835012
1.92374594589462
1.85993279839999
1.80061673991777
1.74533642137549
1.69369132668604
1.64533210421934
1.59995267892783
1.55728377510533
1.51708756486523
1.47915322117606
1.44329320246751
1.40934013252945
1.37714416761663
1.34657076448128
1.31749878004627
1.289818846756
1.26343197815716

1.23824836760947
1.21418634969092
1.19117149921207
1.16913584707052
1.14801719567659
1.12775851953268
1.10830743888188
1.0896157562591
1.07163904736034
1.05433629895697
1.037669587672
1.02160379434567
1.00610634948009
5.5
5.6
461.349408394637
88.6184807023476
40.1957076620033
24.3852205654195
17.0500575489135
12.9486626897709
10.3743491466863
8.62667026307833
7.37109929730147
6.42974168499595
5.70008359330397
5.11924821996995
4.64669901599351
4.25521510227072
3.92588624385169
3.64519311069071
3.40322991957776
3.19258241677926
3.00759695327793
2.84389108929261
2.69801790389915
2.56723074599123
2.44931518587433
2.34246688683657
2.24520145741322
2.15628696322771
2.07469274751685
1.99955015865274
1.93012208587239
1.86577909011586
1.80598052835723
1.75025949806588
1.69821073236294
1.64948079480204
1.6037600813991
1.56077625410774
1.52028881642627
1.48208460659689
1.44597403279854
1.41178791202048
1.3793748029321
1.34859874520963
1.31933733502937
1.2914800799628
1.26492698718064
1.23958734734463
1.21537868332776
1.19222583833145
1.17006018234691
1.14881891945781
1.12844448137293
1.10888399494367
1.09008881336532
1.07201410236543
1.05461847401151
1.03786366187574
1.02171423221633
1.00613732660816
5.6
5.7
475.496338537455
90.5969470232369
40.9334522727712
24.7717479752421
17.2898270038414
13.1129774726216
10.4945366921576
8.71868773751193
7.44395666168161
6.48892756851274
5.74914218161315
5.16057617340006
4.68197880578396
4.28566495978841
3.95241150556992
3.66848166388938
3.42381451424653
3.21088257588424
3.02394790099707
2.85856417786444
2.71123533070462
2.579176348771
2.46014248958068
2.3523051894578
2.25416049357685
2.16446052097543
2.08216150409126
2.00638392637972
1.93638160737892
1.87151748562985
1.81124447179325
1.75509017977909
1.70264465268935
1.65355042232696
1.60749440229486
1.56420123315042
1.52342778594006
1.48495859622925
1.44860205044166
1.41418718417889
1.38156098125469
1.35058608465512
1.32113884814163
1.29310767093853
1.26639156877388
1.24089894313647
1.21654651747053
1.1932584145343
1.170965353589
1.14960394968385
1.12911610023447
1.10944844649042
1.09055189945806
1.07238122147115
1.05489465594794
1.03805359899373
1.02182230744212
1.00616763871095
5.7
5.8
489.764569164045
92.5764046135764
41.6687292839106
25.1560457384133
17.5277981867607
13.2758414324108
10.6135344713425
8.80971246666307
7.51597278769142
6.54739114175258
5.79757362571409
5.2013544516673
4.71677294228815
4.31568277831666
3.97855015292988
3.69142248656099
3.44408496839683
3.22889784849759
3.04003962648791
2.87300070756728
2.72423633123656
2.5909235064812
2.47078748715242
2.36197573674901
2.26296494774068
2.1724914685185
2.08949856869632
2.01309599207819
1.94252859518482
1.87715178552403
1.81641210610319
1.7598317553265
1.70699614542517
1.65754382808206
1.61115827973882
1.56756115936922
1.52650674072191
1.4877772878323
1.45117919305419
1.41653973528578
1.38370434555766
1.3525342899574
1.32290469762487
1.29470287547405
1.26782686227864
1.24218418347371
1.21769077498019
1.19427004993971
1.17185208674862
1.150372920428
1.12977392233768
1.11000125567271
1.0910053961775
1.07274070915984
1.05516507525178
1.03823955849818
1.02192811130072
1.00619731153723
5.8
5.9
504.15152617299
94.5566897293485
42.4015452580359
25.5381453105546
17.7640046988699
13.4372856573326
10.731370266569
8.89976908669217
7.5871695400005
6.60515188290472
5.84539535839906
5.24159873041033
4.75109558384477
4.34528139790899
4.00431387326833
3.71402625177972
3.46405105734218
3.24663721084843
3.05588039102271
2.88720829689806
2.73702794352547
2.60247873078256
2.4812562111021
2.37148412350484
2.27162001350453
2.18038463060311
2.0967084259832
2.01969052597788
1.94856692810291
1.88268559787896
1.82148678729509
1.76448734552862
1.71126811152706
1.66146370710523
1.61475421557356
1.57085835304904
1.52952783016835
1.49054266971758
1.45370729688946
1.41884725786459
1.38580645233323
1.35444478870711
1.32463618878237
1.29626688273143
1.2692339464362
1.24344404200912
1.2188123293987
1.19526152263209
1.17272106880841
1.15112643165371
1.13041846445807
1.11054285967792
1.09144966450889
1.07309285340323
1.05542994988706
1.03842169118195
1.02203173009315
1.00622636942949
5.9
6
518.654718917542
96.5376483274419
43.1319081737496
25.9180777641055
17.9984792755042
13.5973402581167
10.8480708933002
8.98888131923492
7.65756793349991
6.66222848617874
5.89262409094984
5.28132402138659
4.78496027740578
4.37447309480429
4.02971383316256
3.73630315085601
3.48372211001629
3.26410922496998
3.07147807103018
2.90119420635496
2.7496168722237
2.61384822260061
2.49155440408685
2.38083567396797
2.28013063180593
2.1881445959315
2.10379534003063
2.02617149217044
1.95450029230145
1.88812235076867
1.8264717032285
1.76905991420279
1.71546330544091
1.66531261781647
1.6182845843652
1.57409501603131
1.53249309359586
1.49325662804542
1.4561881035754
1.42111135696502
1.38786877740352
1.35631893430414
1.3263345589033
1.29780081975264
1.27061384349718
1.24467944128629
1.21991200830781
1.19623356966608
1.1735729504462
1.15186505155113
1.13105021594705
1.1110736724463
1.09188504620493
1.07343792680132
1.05568948616153
1.03860013975923
1.02213324548873
1.00625483542152
6
6.1
533.27173659722
98.5191354183908
43.8598272684277
26.2958737620435
18.2312538047162
13.7560344034837
10.9636622416291
9.07707201428963
7.7271881754822
6.7186389023248
5.93927585159494
5.32054470873543
4.81837999261194
4.40326961338933
4.05476070838627
3.75826292140466
3.50310703527404
3.281322063351
3.08684018120841
2.91496536011587
2.76200950894552
2.62503789121582
2.50168753682998
2.39003545865654
2.28850150672202
2.19577573200102
2.11076336827887
2.0325426616911
1.96033219358235
1.89346530378027
1.83136988441698
1.77355227828677
1.71958434458193
1.66909299088747
1.62175164169291
1.57727323945186
1.5354044674534
1.49592095353666
1.45862326634867
1.423333555941
1.38989272126236
1.35815801088218
1.32800098178799
1.29930575560192
1.27196752299665
1.2458912561624
1.22099059641319
1.19718688982529
1.17440834848078
1.15258931868157
1.13166964058612
1.1115940862457
1.09231186509068
1.07377618762717
1.05594387952016
1.03877503941636
1.02223273484139
1.00628273132795
6.1
n
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58