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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 14:23:08 +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/t1418567004puk9dmucpsxoupc.htm/, Retrieved Thu, 16 May 2024 21:35:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267619, Retrieved Thu, 16 May 2024 21:35:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
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 14:23:08] [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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267619&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267619&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267619&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Tabulation of Results
AMS.E x age
1819202122232425
4200000001
5000010000
5200001100
5300010000
5400020000
5601000000
5800010000
5902031000
6002020100
6110111000
6211012000
6302110200
6411012100
6510121100
6603141000
6710030000
6813110020
6902020001
7000132000
7100131110
7201110101
7311230000
7400010000
7500121000
7601013000
7800111000
8100000010
8400001000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
AMS.E  x  age \tabularnewline
  & 18 & 19 & 20 & 21 & 22 & 23 & 24 & 25 \tabularnewline
42 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
50 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
52 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 \tabularnewline
53 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
54 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline
56 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
58 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
59 & 0 & 2 & 0 & 3 & 1 & 0 & 0 & 0 \tabularnewline
60 & 0 & 2 & 0 & 2 & 0 & 1 & 0 & 0 \tabularnewline
61 & 1 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline
62 & 1 & 1 & 0 & 1 & 2 & 0 & 0 & 0 \tabularnewline
63 & 0 & 2 & 1 & 1 & 0 & 2 & 0 & 0 \tabularnewline
64 & 1 & 1 & 0 & 1 & 2 & 1 & 0 & 0 \tabularnewline
65 & 1 & 0 & 1 & 2 & 1 & 1 & 0 & 0 \tabularnewline
66 & 0 & 3 & 1 & 4 & 1 & 0 & 0 & 0 \tabularnewline
67 & 1 & 0 & 0 & 3 & 0 & 0 & 0 & 0 \tabularnewline
68 & 1 & 3 & 1 & 1 & 0 & 0 & 2 & 0 \tabularnewline
69 & 0 & 2 & 0 & 2 & 0 & 0 & 0 & 1 \tabularnewline
70 & 0 & 0 & 1 & 3 & 2 & 0 & 0 & 0 \tabularnewline
71 & 0 & 0 & 1 & 3 & 1 & 1 & 1 & 0 \tabularnewline
72 & 0 & 1 & 1 & 1 & 0 & 1 & 0 & 1 \tabularnewline
73 & 1 & 1 & 2 & 3 & 0 & 0 & 0 & 0 \tabularnewline
74 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
75 & 0 & 0 & 1 & 2 & 1 & 0 & 0 & 0 \tabularnewline
76 & 0 & 1 & 0 & 1 & 3 & 0 & 0 & 0 \tabularnewline
78 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline
81 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline
84 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267619&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]AMS.E  x  age[/C][/ROW]
[ROW][C] [/C][C]18[/C][C]19[/C][C]20[/C][C]21[/C][C]22[/C][C]23[/C][C]24[/C][C]25[/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][/ROW]
[C]50[/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]52[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]53[/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]54[/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]1[/C][C]0[/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]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]59[/C][C]0[/C][C]2[/C][C]0[/C][C]3[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]60[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]61[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]62[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]63[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][/ROW]
[C]64[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]65[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]66[/C][C]0[/C][C]3[/C][C]1[/C][C]4[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]67[/C][C]1[/C][C]0[/C][C]0[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]68[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][/ROW]
[C]69[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[C]70[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]71[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]72[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][/ROW]
[C]73[/C][C]1[/C][C]1[/C][C]2[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]74[/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]75[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/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]3[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]78[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/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]1[/C][C]0[/C][/ROW]
[C]84[/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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267619&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267619&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 age
1819202122232425
4200000001
5000010000
5200001100
5300010000
5400020000
5601000000
5800010000
5902031000
6002020100
6110111000
6211012000
6302110200
6411012100
6510121100
6603141000
6710030000
6813110020
6902020001
7000132000
7100131110
7201110101
7311230000
7400010000
7500121000
7601013000
7800111000
8100000010
8400001000







Tabulation of Expected Results
AMS.E x age
1819202122232425
420.060.180.110.360.160.070.040.03
500.060.180.110.360.160.070.040.03
520.120.350.210.730.320.140.070.05
530.060.180.110.360.160.070.040.03
540.120.350.210.730.320.140.070.05
560.060.180.110.360.160.070.040.03
580.060.180.110.360.160.070.040.03
590.371.060.642.180.960.420.210.16
600.310.880.531.810.80.350.180.13
610.250.710.421.450.640.280.140.11
620.310.880.531.810.80.350.180.13
630.371.060.642.180.960.420.210.16
640.371.060.642.180.960.420.210.16
650.371.060.642.180.960.420.210.16
660.561.590.963.271.430.640.320.24
670.250.710.421.450.640.280.140.11
680.51.420.852.91.270.570.280.21
690.310.880.531.810.80.350.180.13
700.371.060.642.180.960.420.210.16
710.431.240.742.541.120.50.250.19
720.310.880.531.810.80.350.180.13
730.431.240.742.541.120.50.250.19
740.060.180.110.360.160.070.040.03
750.250.710.421.450.640.280.140.11
760.310.880.531.810.80.350.180.13
780.190.530.321.090.480.210.110.08
810.060.180.110.360.160.070.040.03
840.060.180.110.360.160.070.040.03

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
AMS.E  x  age \tabularnewline
  & 18 & 19 & 20 & 21 & 22 & 23 & 24 & 25 \tabularnewline
42 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
50 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
52 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
53 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
54 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
56 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
58 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
59 & 0.37 & 1.06 & 0.64 & 2.18 & 0.96 & 0.42 & 0.21 & 0.16 \tabularnewline
60 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
61 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
62 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
63 & 0.37 & 1.06 & 0.64 & 2.18 & 0.96 & 0.42 & 0.21 & 0.16 \tabularnewline
64 & 0.37 & 1.06 & 0.64 & 2.18 & 0.96 & 0.42 & 0.21 & 0.16 \tabularnewline
65 & 0.37 & 1.06 & 0.64 & 2.18 & 0.96 & 0.42 & 0.21 & 0.16 \tabularnewline
66 & 0.56 & 1.59 & 0.96 & 3.27 & 1.43 & 0.64 & 0.32 & 0.24 \tabularnewline
67 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
68 & 0.5 & 1.42 & 0.85 & 2.9 & 1.27 & 0.57 & 0.28 & 0.21 \tabularnewline
69 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
70 & 0.37 & 1.06 & 0.64 & 2.18 & 0.96 & 0.42 & 0.21 & 0.16 \tabularnewline
71 & 0.43 & 1.24 & 0.74 & 2.54 & 1.12 & 0.5 & 0.25 & 0.19 \tabularnewline
72 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
73 & 0.43 & 1.24 & 0.74 & 2.54 & 1.12 & 0.5 & 0.25 & 0.19 \tabularnewline
74 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
75 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
76 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
78 & 0.19 & 0.53 & 0.32 & 1.09 & 0.48 & 0.21 & 0.11 & 0.08 \tabularnewline
81 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
84 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267619&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]AMS.E  x  age[/C][/ROW]
[ROW][C] [/C][C]18[/C][C]19[/C][C]20[/C][C]21[/C][C]22[/C][C]23[/C][C]24[/C][C]25[/C][/ROW]
[C]42[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]50[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]52[/C][C]0.12[/C][C]0.35[/C][C]0.21[/C][C]0.73[/C][C]0.32[/C][C]0.14[/C][C]0.07[/C][C]0.05[/C][/ROW]
[C]53[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]54[/C][C]0.12[/C][C]0.35[/C][C]0.21[/C][C]0.73[/C][C]0.32[/C][C]0.14[/C][C]0.07[/C][C]0.05[/C][/ROW]
[C]56[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]58[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]59[/C][C]0.37[/C][C]1.06[/C][C]0.64[/C][C]2.18[/C][C]0.96[/C][C]0.42[/C][C]0.21[/C][C]0.16[/C][/ROW]
[C]60[/C][C]0.31[/C][C]0.88[/C][C]0.53[/C][C]1.81[/C][C]0.8[/C][C]0.35[/C][C]0.18[/C][C]0.13[/C][/ROW]
[C]61[/C][C]0.25[/C][C]0.71[/C][C]0.42[/C][C]1.45[/C][C]0.64[/C][C]0.28[/C][C]0.14[/C][C]0.11[/C][/ROW]
[C]62[/C][C]0.31[/C][C]0.88[/C][C]0.53[/C][C]1.81[/C][C]0.8[/C][C]0.35[/C][C]0.18[/C][C]0.13[/C][/ROW]
[C]63[/C][C]0.37[/C][C]1.06[/C][C]0.64[/C][C]2.18[/C][C]0.96[/C][C]0.42[/C][C]0.21[/C][C]0.16[/C][/ROW]
[C]64[/C][C]0.37[/C][C]1.06[/C][C]0.64[/C][C]2.18[/C][C]0.96[/C][C]0.42[/C][C]0.21[/C][C]0.16[/C][/ROW]
[C]65[/C][C]0.37[/C][C]1.06[/C][C]0.64[/C][C]2.18[/C][C]0.96[/C][C]0.42[/C][C]0.21[/C][C]0.16[/C][/ROW]
[C]66[/C][C]0.56[/C][C]1.59[/C][C]0.96[/C][C]3.27[/C][C]1.43[/C][C]0.64[/C][C]0.32[/C][C]0.24[/C][/ROW]
[C]67[/C][C]0.25[/C][C]0.71[/C][C]0.42[/C][C]1.45[/C][C]0.64[/C][C]0.28[/C][C]0.14[/C][C]0.11[/C][/ROW]
[C]68[/C][C]0.5[/C][C]1.42[/C][C]0.85[/C][C]2.9[/C][C]1.27[/C][C]0.57[/C][C]0.28[/C][C]0.21[/C][/ROW]
[C]69[/C][C]0.31[/C][C]0.88[/C][C]0.53[/C][C]1.81[/C][C]0.8[/C][C]0.35[/C][C]0.18[/C][C]0.13[/C][/ROW]
[C]70[/C][C]0.37[/C][C]1.06[/C][C]0.64[/C][C]2.18[/C][C]0.96[/C][C]0.42[/C][C]0.21[/C][C]0.16[/C][/ROW]
[C]71[/C][C]0.43[/C][C]1.24[/C][C]0.74[/C][C]2.54[/C][C]1.12[/C][C]0.5[/C][C]0.25[/C][C]0.19[/C][/ROW]
[C]72[/C][C]0.31[/C][C]0.88[/C][C]0.53[/C][C]1.81[/C][C]0.8[/C][C]0.35[/C][C]0.18[/C][C]0.13[/C][/ROW]
[C]73[/C][C]0.43[/C][C]1.24[/C][C]0.74[/C][C]2.54[/C][C]1.12[/C][C]0.5[/C][C]0.25[/C][C]0.19[/C][/ROW]
[C]74[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]75[/C][C]0.25[/C][C]0.71[/C][C]0.42[/C][C]1.45[/C][C]0.64[/C][C]0.28[/C][C]0.14[/C][C]0.11[/C][/ROW]
[C]76[/C][C]0.31[/C][C]0.88[/C][C]0.53[/C][C]1.81[/C][C]0.8[/C][C]0.35[/C][C]0.18[/C][C]0.13[/C][/ROW]
[C]78[/C][C]0.19[/C][C]0.53[/C][C]0.32[/C][C]1.09[/C][C]0.48[/C][C]0.21[/C][C]0.11[/C][C]0.08[/C][/ROW]
[C]81[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[C]84[/C][C]0.06[/C][C]0.18[/C][C]0.11[/C][C]0.36[/C][C]0.16[/C][C]0.07[/C][C]0.04[/C][C]0.03[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267619&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267619&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 age
1819202122232425
420.060.180.110.360.160.070.040.03
500.060.180.110.360.160.070.040.03
520.120.350.210.730.320.140.070.05
530.060.180.110.360.160.070.040.03
540.120.350.210.730.320.140.070.05
560.060.180.110.360.160.070.040.03
580.060.180.110.360.160.070.040.03
590.371.060.642.180.960.420.210.16
600.310.880.531.810.80.350.180.13
610.250.710.421.450.640.280.140.11
620.310.880.531.810.80.350.180.13
630.371.060.642.180.960.420.210.16
640.371.060.642.180.960.420.210.16
650.371.060.642.180.960.420.210.16
660.561.590.963.271.430.640.320.24
670.250.710.421.450.640.280.140.11
680.51.420.852.91.270.570.280.21
690.310.880.531.810.80.350.180.13
700.371.060.642.180.960.420.210.16
710.431.240.742.541.120.50.250.19
720.310.880.531.810.80.350.180.13
730.431.240.742.541.120.50.250.19
740.060.180.110.360.160.070.040.03
750.250.710.421.450.640.280.140.11
760.310.880.531.810.80.350.180.13
780.190.530.321.090.480.210.110.08
810.060.180.110.360.160.070.040.03
840.060.180.110.360.160.070.040.03







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic198.31
P value0.34

\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 & 198.31 \tabularnewline
P value & 0.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267619&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]198.31[/C][/ROW]
[ROW][C]P value[/C][C]0.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267619&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267619&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 Statistic198.31
P value0.34



Parameters (Session):
par1 = 2 ; par2 = 4 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 2 ; par2 = 4 ; 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')