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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationSun, 14 Dec 2014 14:42:24 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/14/t14185681632m4e2b532v34anp.htm/, Retrieved Thu, 31 Oct 2024 22:52:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267641, Retrieved Thu, 31 Oct 2024 22:52:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2014-12-14 14:42:24] [6baf0af87d9d8aa2cb91b54f39a0a5b0] [Current]
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Dataseries X:
26 50 0 21 13 12 13 13 21
57 62 1 22 8 8 13 16 22
37 54 0 21 14 11 11 11 22
67 71 1 21 16 13 14 10 18
43 54 1 21 14 11 15 9 23
52 65 1 21 13 10 14 8 12
52 73 0 21 15 7 11 26 20
43 52 1 23 13 10 13 10 22
84 84 1 22 20 15 16 10 21
67 42 1 25 17 12 14 8 19
49 66 1 21 15 12 14 13 22
70 65 1 23 16 10 15 11 15
52 78 1 22 12 10 15 8 20
58 73 0 21 17 14 13 12 19
68 75 0 21 11 6 14 24 18
62 72 0 25 16 12 11 21 15
43 66 1 21 16 14 12 5 20
56 70 0 21 15 11 14 14 21
56 61 1 20 13 8 13 11 21
74 81 0 24 14 12 12 9 15
65 71 1 23 19 15 15 8 16
63 69 1 21 16 13 15 17 23
58 71 0 24 17 11 14 18 21
57 72 1 23 10 12 14 16 18
63 68 1 21 15 7 12 23 25
53 70 1 22 14 11 12 9 9
57 68 1 20 14 7 12 14 30
51 61 0 18 16 12 15 13 20
64 67 1 21 15 12 14 10 23
53 76 0 22 17 13 16 8 16
29 70 0 22 14 9 12 10 16
54 60 0 21 16 11 12 19 19
58 72 1 21 15 12 14 11 25
43 69 1 25 16 15 16 16 18
51 71 1 22 16 12 15 12 23
53 62 1 22 10 6 12 11 21
54 70 0 20 8 5 14 11 10
56 64 1 21 17 13 13 10 14
61 58 1 21 14 11 14 13 22
47 76 0 21 10 6 16 14 26
39 52 1 22 14 12 12 8 23
48 59 1 21 12 10 14 11 23
50 68 1 24 16 6 15 11 24
35 76 1 22 16 12 13 13 24
30 65 1 22 16 11 16 15 18
68 67 0 21 8 6 16 15 23
49 59 1 22 16 12 12 16 15
61 69 1 19 15 12 12 12 19
67 76 0 22 8 8 16 12 16
47 63 1 23 13 10 12 17 25
56 75 1 20 14 11 15 14 23
50 63 1 20 13 7 12 15 17
43 60 1 23 16 12 13 12 19
67 73 1 20 19 13 12 13 21
62 63 1 23 19 14 14 7 18
57 70 1 21 14 12 14 8 27
41 75 0 22 15 6 11 16 21
54 66 1 21 13 14 10 20 13
45 63 0 21 10 10 12 14 8
48 63 1 19 16 12 11 10 29
61 64 1 22 15 11 16 16 28
56 70 0 21 11 10 14 11 23
41 75 0 21 9 7 14 26 21
43 61 1 21 16 12 15 9 19
53 60 0 21 12 7 15 15 19
44 62 1 21 12 12 14 12 20
66 73 0 21 14 12 13 21 18
58 61 1 22 14 10 11 20 19
46 66 1 22 13 10 16 20 17
37 64 0 18 15 12 12 10 19
51 59 0 21 17 12 15 15 25
51 64 0 23 14 12 14 10 19
56 60 0 19 11 8 15 16 22
66 56 1 19 9 10 14 9 23
37 78 0 21 7 5 13 17 14
59 53 1 21 13 10 6 10 28
42 67 0 21 15 10 12 19 16
38 59 1 21 12 12 12 13 24
66 66 0 20 15 11 14 8 20
34 68 0 19 14 9 14 11 12
53 71 1 21 16 12 15 9 24
49 66 0 19 14 11 11 12 22
55 73 0 19 13 10 13 10 12
49 72 0 19 16 12 14 9 22
59 71 1 20 13 10 16 14 20
40 59 0 19 16 9 13 14 10
58 64 1 19 16 11 14 10 23
60 66 1 19 16 12 16 8 17
63 78 0 20 10 7 11 13 22
56 68 0 19 12 11 13 9 24
54 73 0 18 12 12 13 14 18
52 62 1 19 12 6 15 8 21
34 65 1 21 12 9 12 16 20
69 68 1 18 19 15 13 14 20
32 65 0 18 14 10 12 14 22
48 60 1 19 13 11 14 8 19
67 71 0 21 16 12 14 11 20
58 65 1 20 15 12 16 11 26
57 68 1 24 12 12 15 13 23
42 64 1 22 8 11 14 12 24
64 74 1 21 10 9 13 13 21
58 69 1 21 16 11 14 9 21
66 76 0 19 16 12 15 10 19
26 68 1 19 10 12 14 12 8
61 72 1 20 18 14 12 11 17
52 67 1 18 12 8 7 13 20
51 63 0 19 16 10 12 17 11
55 59 0 19 10 9 15 15 8
50 73 0 20 14 10 12 15 15
60 66 0 21 12 9 13 14 18
56 62 0 18 11 10 11 10 18
63 69 0 19 15 12 14 15 19
61 66 1 19 7 11 13 14 19




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267641&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267641&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267641&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ yule.wessa.net







Tabulation of Results
AMS.E x CONFSOFTTOT
56789101112131415
4200000001000
5000000001000
5200000101000
5300000100000
5400000020000
5600000100000
5800000010000
5900002103000
6000110021000
6100010102000
6202010101000
6300100301010
6400000032100
6500001311000
6600001132020
6701010101000
6801201012001
6900000012101
7010001121000
7100000113101
7200000004010
7300100202110
7400001000000
7502100010000
7601010002100
7810100100000
8100000001000
8400000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
AMS.E  x  CONFSOFTTOT \tabularnewline
  & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \tabularnewline
42 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
50 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
52 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 \tabularnewline
53 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline
54 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline
56 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline
58 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
59 & 0 & 0 & 0 & 0 & 2 & 1 & 0 & 3 & 0 & 0 & 0 \tabularnewline
60 & 0 & 0 & 1 & 1 & 0 & 0 & 2 & 1 & 0 & 0 & 0 \tabularnewline
61 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 2 & 0 & 0 & 0 \tabularnewline
62 & 0 & 2 & 0 & 1 & 0 & 1 & 0 & 1 & 0 & 0 & 0 \tabularnewline
63 & 0 & 0 & 1 & 0 & 0 & 3 & 0 & 1 & 0 & 1 & 0 \tabularnewline
64 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 2 & 1 & 0 & 0 \tabularnewline
65 & 0 & 0 & 0 & 0 & 1 & 3 & 1 & 1 & 0 & 0 & 0 \tabularnewline
66 & 0 & 0 & 0 & 0 & 1 & 1 & 3 & 2 & 0 & 2 & 0 \tabularnewline
67 & 0 & 1 & 0 & 1 & 0 & 1 & 0 & 1 & 0 & 0 & 0 \tabularnewline
68 & 0 & 1 & 2 & 0 & 1 & 0 & 1 & 2 & 0 & 0 & 1 \tabularnewline
69 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 0 & 1 \tabularnewline
70 & 1 & 0 & 0 & 0 & 1 & 1 & 2 & 1 & 0 & 0 & 0 \tabularnewline
71 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 3 & 1 & 0 & 1 \tabularnewline
72 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 4 & 0 & 1 & 0 \tabularnewline
73 & 0 & 0 & 1 & 0 & 0 & 2 & 0 & 2 & 1 & 1 & 0 \tabularnewline
74 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
75 & 0 & 2 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
76 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 2 & 1 & 0 & 0 \tabularnewline
78 & 1 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline
81 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
84 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267641&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]AMS.E  x  CONFSOFTTOT[/C][/ROW]
[ROW][C] [/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][/ROW]
[C]42[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]50[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]52[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]53[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]54[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]56[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]58[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]59[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]60[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]61[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]62[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]63[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]3[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]64[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]65[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]66[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]2[/C][C]0[/C][C]2[/C][C]0[/C][/ROW]
[C]67[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]68[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[C]69[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]1[/C][/ROW]
[C]70[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]71[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]0[/C][C]1[/C][/ROW]
[C]72[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]4[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]73[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]74[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]75[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]76[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]78[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]81[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]84[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267641&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267641&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
AMS.E x CONFSOFTTOT
56789101112131415
4200000001000
5000000001000
5200000101000
5300000100000
5400000020000
5600000100000
5800000010000
5900002103000
6000110021000
6100010102000
6202010101000
6300100301010
6400000032100
6500001311000
6600001132020
6701010101000
6801201012001
6900000012101
7010001121000
7100000113101
7200000004010
7300100202110
7400001000000
7502100010000
7601010002100
7810100100000
8100000001000
8400000000001







Tabulation of Expected Results
AMS.E x CONFSOFTTOT
56789101112131415
420.020.060.060.040.060.170.160.30.040.040.04
500.020.060.060.040.060.170.160.30.040.040.04
520.040.120.120.090.120.340.320.60.090.090.07
530.020.060.060.040.060.170.160.30.040.040.04
540.040.120.120.090.120.340.320.60.090.090.07
560.020.060.060.040.060.170.160.30.040.040.04
580.020.060.060.040.060.170.160.30.040.040.04
590.110.370.370.270.371.010.961.810.270.270.21
600.090.310.310.220.310.840.81.50.220.220.18
610.070.250.250.180.250.670.641.20.180.180.14
620.090.310.310.220.310.840.81.50.220.220.18
630.110.370.370.270.371.010.961.810.270.270.21
640.110.370.370.270.371.010.961.810.270.270.21
650.110.370.370.270.371.010.961.810.270.270.21
660.160.560.560.40.561.511.432.710.40.40.32
670.070.250.250.180.250.670.641.20.180.180.14
680.140.50.50.350.51.351.272.410.350.350.28
690.090.310.310.220.310.840.81.50.220.220.18
700.110.370.370.270.371.010.961.810.270.270.21
710.120.430.430.310.431.181.122.110.310.310.25
720.090.310.310.220.310.840.81.50.220.220.18
730.120.430.430.310.431.181.122.110.310.310.25
740.020.060.060.040.060.170.160.30.040.040.04
750.070.250.250.180.250.670.641.20.180.180.14
760.090.310.310.220.310.840.81.50.220.220.18
780.050.190.190.130.190.50.480.90.130.130.11
810.020.060.060.040.060.170.160.30.040.040.04
840.020.060.060.040.060.170.160.30.040.040.04

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
AMS.E  x  CONFSOFTTOT \tabularnewline
  & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 \tabularnewline
42 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
50 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
52 & 0.04 & 0.12 & 0.12 & 0.09 & 0.12 & 0.34 & 0.32 & 0.6 & 0.09 & 0.09 & 0.07 \tabularnewline
53 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
54 & 0.04 & 0.12 & 0.12 & 0.09 & 0.12 & 0.34 & 0.32 & 0.6 & 0.09 & 0.09 & 0.07 \tabularnewline
56 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
58 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
59 & 0.11 & 0.37 & 0.37 & 0.27 & 0.37 & 1.01 & 0.96 & 1.81 & 0.27 & 0.27 & 0.21 \tabularnewline
60 & 0.09 & 0.31 & 0.31 & 0.22 & 0.31 & 0.84 & 0.8 & 1.5 & 0.22 & 0.22 & 0.18 \tabularnewline
61 & 0.07 & 0.25 & 0.25 & 0.18 & 0.25 & 0.67 & 0.64 & 1.2 & 0.18 & 0.18 & 0.14 \tabularnewline
62 & 0.09 & 0.31 & 0.31 & 0.22 & 0.31 & 0.84 & 0.8 & 1.5 & 0.22 & 0.22 & 0.18 \tabularnewline
63 & 0.11 & 0.37 & 0.37 & 0.27 & 0.37 & 1.01 & 0.96 & 1.81 & 0.27 & 0.27 & 0.21 \tabularnewline
64 & 0.11 & 0.37 & 0.37 & 0.27 & 0.37 & 1.01 & 0.96 & 1.81 & 0.27 & 0.27 & 0.21 \tabularnewline
65 & 0.11 & 0.37 & 0.37 & 0.27 & 0.37 & 1.01 & 0.96 & 1.81 & 0.27 & 0.27 & 0.21 \tabularnewline
66 & 0.16 & 0.56 & 0.56 & 0.4 & 0.56 & 1.51 & 1.43 & 2.71 & 0.4 & 0.4 & 0.32 \tabularnewline
67 & 0.07 & 0.25 & 0.25 & 0.18 & 0.25 & 0.67 & 0.64 & 1.2 & 0.18 & 0.18 & 0.14 \tabularnewline
68 & 0.14 & 0.5 & 0.5 & 0.35 & 0.5 & 1.35 & 1.27 & 2.41 & 0.35 & 0.35 & 0.28 \tabularnewline
69 & 0.09 & 0.31 & 0.31 & 0.22 & 0.31 & 0.84 & 0.8 & 1.5 & 0.22 & 0.22 & 0.18 \tabularnewline
70 & 0.11 & 0.37 & 0.37 & 0.27 & 0.37 & 1.01 & 0.96 & 1.81 & 0.27 & 0.27 & 0.21 \tabularnewline
71 & 0.12 & 0.43 & 0.43 & 0.31 & 0.43 & 1.18 & 1.12 & 2.11 & 0.31 & 0.31 & 0.25 \tabularnewline
72 & 0.09 & 0.31 & 0.31 & 0.22 & 0.31 & 0.84 & 0.8 & 1.5 & 0.22 & 0.22 & 0.18 \tabularnewline
73 & 0.12 & 0.43 & 0.43 & 0.31 & 0.43 & 1.18 & 1.12 & 2.11 & 0.31 & 0.31 & 0.25 \tabularnewline
74 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
75 & 0.07 & 0.25 & 0.25 & 0.18 & 0.25 & 0.67 & 0.64 & 1.2 & 0.18 & 0.18 & 0.14 \tabularnewline
76 & 0.09 & 0.31 & 0.31 & 0.22 & 0.31 & 0.84 & 0.8 & 1.5 & 0.22 & 0.22 & 0.18 \tabularnewline
78 & 0.05 & 0.19 & 0.19 & 0.13 & 0.19 & 0.5 & 0.48 & 0.9 & 0.13 & 0.13 & 0.11 \tabularnewline
81 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
84 & 0.02 & 0.06 & 0.06 & 0.04 & 0.06 & 0.17 & 0.16 & 0.3 & 0.04 & 0.04 & 0.04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267641&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]AMS.E  x  CONFSOFTTOT[/C][/ROW]
[ROW][C] [/C][C]5[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][/ROW]
[C]42[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]50[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]52[/C][C]0.04[/C][C]0.12[/C][C]0.12[/C][C]0.09[/C][C]0.12[/C][C]0.34[/C][C]0.32[/C][C]0.6[/C][C]0.09[/C][C]0.09[/C][C]0.07[/C][/ROW]
[C]53[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]54[/C][C]0.04[/C][C]0.12[/C][C]0.12[/C][C]0.09[/C][C]0.12[/C][C]0.34[/C][C]0.32[/C][C]0.6[/C][C]0.09[/C][C]0.09[/C][C]0.07[/C][/ROW]
[C]56[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]58[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]59[/C][C]0.11[/C][C]0.37[/C][C]0.37[/C][C]0.27[/C][C]0.37[/C][C]1.01[/C][C]0.96[/C][C]1.81[/C][C]0.27[/C][C]0.27[/C][C]0.21[/C][/ROW]
[C]60[/C][C]0.09[/C][C]0.31[/C][C]0.31[/C][C]0.22[/C][C]0.31[/C][C]0.84[/C][C]0.8[/C][C]1.5[/C][C]0.22[/C][C]0.22[/C][C]0.18[/C][/ROW]
[C]61[/C][C]0.07[/C][C]0.25[/C][C]0.25[/C][C]0.18[/C][C]0.25[/C][C]0.67[/C][C]0.64[/C][C]1.2[/C][C]0.18[/C][C]0.18[/C][C]0.14[/C][/ROW]
[C]62[/C][C]0.09[/C][C]0.31[/C][C]0.31[/C][C]0.22[/C][C]0.31[/C][C]0.84[/C][C]0.8[/C][C]1.5[/C][C]0.22[/C][C]0.22[/C][C]0.18[/C][/ROW]
[C]63[/C][C]0.11[/C][C]0.37[/C][C]0.37[/C][C]0.27[/C][C]0.37[/C][C]1.01[/C][C]0.96[/C][C]1.81[/C][C]0.27[/C][C]0.27[/C][C]0.21[/C][/ROW]
[C]64[/C][C]0.11[/C][C]0.37[/C][C]0.37[/C][C]0.27[/C][C]0.37[/C][C]1.01[/C][C]0.96[/C][C]1.81[/C][C]0.27[/C][C]0.27[/C][C]0.21[/C][/ROW]
[C]65[/C][C]0.11[/C][C]0.37[/C][C]0.37[/C][C]0.27[/C][C]0.37[/C][C]1.01[/C][C]0.96[/C][C]1.81[/C][C]0.27[/C][C]0.27[/C][C]0.21[/C][/ROW]
[C]66[/C][C]0.16[/C][C]0.56[/C][C]0.56[/C][C]0.4[/C][C]0.56[/C][C]1.51[/C][C]1.43[/C][C]2.71[/C][C]0.4[/C][C]0.4[/C][C]0.32[/C][/ROW]
[C]67[/C][C]0.07[/C][C]0.25[/C][C]0.25[/C][C]0.18[/C][C]0.25[/C][C]0.67[/C][C]0.64[/C][C]1.2[/C][C]0.18[/C][C]0.18[/C][C]0.14[/C][/ROW]
[C]68[/C][C]0.14[/C][C]0.5[/C][C]0.5[/C][C]0.35[/C][C]0.5[/C][C]1.35[/C][C]1.27[/C][C]2.41[/C][C]0.35[/C][C]0.35[/C][C]0.28[/C][/ROW]
[C]69[/C][C]0.09[/C][C]0.31[/C][C]0.31[/C][C]0.22[/C][C]0.31[/C][C]0.84[/C][C]0.8[/C][C]1.5[/C][C]0.22[/C][C]0.22[/C][C]0.18[/C][/ROW]
[C]70[/C][C]0.11[/C][C]0.37[/C][C]0.37[/C][C]0.27[/C][C]0.37[/C][C]1.01[/C][C]0.96[/C][C]1.81[/C][C]0.27[/C][C]0.27[/C][C]0.21[/C][/ROW]
[C]71[/C][C]0.12[/C][C]0.43[/C][C]0.43[/C][C]0.31[/C][C]0.43[/C][C]1.18[/C][C]1.12[/C][C]2.11[/C][C]0.31[/C][C]0.31[/C][C]0.25[/C][/ROW]
[C]72[/C][C]0.09[/C][C]0.31[/C][C]0.31[/C][C]0.22[/C][C]0.31[/C][C]0.84[/C][C]0.8[/C][C]1.5[/C][C]0.22[/C][C]0.22[/C][C]0.18[/C][/ROW]
[C]73[/C][C]0.12[/C][C]0.43[/C][C]0.43[/C][C]0.31[/C][C]0.43[/C][C]1.18[/C][C]1.12[/C][C]2.11[/C][C]0.31[/C][C]0.31[/C][C]0.25[/C][/ROW]
[C]74[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]75[/C][C]0.07[/C][C]0.25[/C][C]0.25[/C][C]0.18[/C][C]0.25[/C][C]0.67[/C][C]0.64[/C][C]1.2[/C][C]0.18[/C][C]0.18[/C][C]0.14[/C][/ROW]
[C]76[/C][C]0.09[/C][C]0.31[/C][C]0.31[/C][C]0.22[/C][C]0.31[/C][C]0.84[/C][C]0.8[/C][C]1.5[/C][C]0.22[/C][C]0.22[/C][C]0.18[/C][/ROW]
[C]78[/C][C]0.05[/C][C]0.19[/C][C]0.19[/C][C]0.13[/C][C]0.19[/C][C]0.5[/C][C]0.48[/C][C]0.9[/C][C]0.13[/C][C]0.13[/C][C]0.11[/C][/ROW]
[C]81[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[C]84[/C][C]0.02[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.06[/C][C]0.17[/C][C]0.16[/C][C]0.3[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267641&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267641&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
AMS.E x CONFSOFTTOT
56789101112131415
420.020.060.060.040.060.170.160.30.040.040.04
500.020.060.060.040.060.170.160.30.040.040.04
520.040.120.120.090.120.340.320.60.090.090.07
530.020.060.060.040.060.170.160.30.040.040.04
540.040.120.120.090.120.340.320.60.090.090.07
560.020.060.060.040.060.170.160.30.040.040.04
580.020.060.060.040.060.170.160.30.040.040.04
590.110.370.370.270.371.010.961.810.270.270.21
600.090.310.310.220.310.840.81.50.220.220.18
610.070.250.250.180.250.670.641.20.180.180.14
620.090.310.310.220.310.840.81.50.220.220.18
630.110.370.370.270.371.010.961.810.270.270.21
640.110.370.370.270.371.010.961.810.270.270.21
650.110.370.370.270.371.010.961.810.270.270.21
660.160.560.560.40.561.511.432.710.40.40.32
670.070.250.250.180.250.670.641.20.180.180.14
680.140.50.50.350.51.351.272.410.350.350.28
690.090.310.310.220.310.840.81.50.220.220.18
700.110.370.370.270.371.010.961.810.270.270.21
710.120.430.430.310.431.181.122.110.310.310.25
720.090.310.310.220.310.840.81.50.220.220.18
730.120.430.430.310.431.181.122.110.310.310.25
740.020.060.060.040.060.170.160.30.040.040.04
750.070.250.250.180.250.670.641.20.180.180.14
760.090.310.310.220.310.840.81.50.220.220.18
780.050.190.190.130.190.50.480.90.130.130.11
810.020.060.060.040.060.170.160.30.040.040.04
840.020.060.060.040.060.170.160.30.040.040.04







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic268.83
P value0.52

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Exact Pearson Chi Square Statistic & 268.83 \tabularnewline
P value & 0.52 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267641&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates)[/C][/ROW]
[ROW][C]Exact Pearson Chi Square Statistic[/C][C]268.83[/C][/ROW]
[ROW][C]P value[/C][C]0.52[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267641&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267641&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic268.83
P value0.52



Parameters (Session):
par1 = 2 ; par2 = 6 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 2 ; par2 = 6 ; par3 = Exact Pearson Chi-Squared by Simulation ;
R code (references can be found in the software module):
library(vcd)
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
simulate.p.value=FALSE
if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE
x <- t(x)
(z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
bitmap(file='pic1.png')
assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, table1[nr, nc], 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
if (par3 == 'McNemar Chi-Squared') {
(cst <- mcnemar.test(table1))
}
if (par3=='Fisher Exact Test') {
(cst <- fisher.test(table1))
}
if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1,TRUE)
for(nc in 1:ncol(table1)){
a<-table.element(a, colnames(table1)[nc], 1, TRUE)
}
a<-table.row.end(a)
for(nr in 1:nrow(table1) ){
a<-table.element(a, rownames(table1)[nr], 1, TRUE)
for(nc in 1:ncol(table1) ){
a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$method, 2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
if (par3=='Fisher Exact Test') {
if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
} else {
a<-table.element(a, '--', 1,FALSE)
}
} else {
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
}
a<-table.row.end(a)
if(!simulate.p.value){
if(par3!='Fisher Exact Test') {
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$parameter, 1,FALSE)
a<-table.row.end(a)
}
}
a<-table.row.start(a)
a<-table.element(a, 'P value', 1, TRUE)
a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')