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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 12:14:41 +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/t1418559326l7i24wt51odi1wm.htm/, Retrieved Thu, 16 May 2024 10:10:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267494, Retrieved Thu, 16 May 2024 10:10:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
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 12:14:41] [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=267494&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=267494&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267494&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.I x age
1819202122232425
2601010000
2900001000
3000001000
3210000000
3401010000
3500001000
3710020000
3800010000
3900001000
4001000000
4100011000
4200011000
4300030201
4400010000
4500010000
4600001000
4700010100
4802010000
4902011000
5000200010
5111011100
5211021000
5300023000
5410120000
5502000000
5612230000
5700111110
5801131010
5900110000
6001010000
6102111000
6200000101
6301120000
6400020000
6500000100
6602110000
6700121001
6800020000
6910000000
7000000100
7400000010
8400001000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
AMS.I  x  age \tabularnewline
  & 18 & 19 & 20 & 21 & 22 & 23 & 24 & 25 \tabularnewline
26 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
29 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
30 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
32 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
34 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
35 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
37 & 1 & 0 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline
38 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
39 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
40 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
41 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 \tabularnewline
42 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 \tabularnewline
43 & 0 & 0 & 0 & 3 & 0 & 2 & 0 & 1 \tabularnewline
44 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
45 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
46 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
47 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 \tabularnewline
48 & 0 & 2 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
49 & 0 & 2 & 0 & 1 & 1 & 0 & 0 & 0 \tabularnewline
50 & 0 & 0 & 2 & 0 & 0 & 0 & 1 & 0 \tabularnewline
51 & 1 & 1 & 0 & 1 & 1 & 1 & 0 & 0 \tabularnewline
52 & 1 & 1 & 0 & 2 & 1 & 0 & 0 & 0 \tabularnewline
53 & 0 & 0 & 0 & 2 & 3 & 0 & 0 & 0 \tabularnewline
54 & 1 & 0 & 1 & 2 & 0 & 0 & 0 & 0 \tabularnewline
55 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
56 & 1 & 2 & 2 & 3 & 0 & 0 & 0 & 0 \tabularnewline
57 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 0 \tabularnewline
58 & 0 & 1 & 1 & 3 & 1 & 0 & 1 & 0 \tabularnewline
59 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 \tabularnewline
60 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
61 & 0 & 2 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline
62 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 \tabularnewline
63 & 0 & 1 & 1 & 2 & 0 & 0 & 0 & 0 \tabularnewline
64 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline
65 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
66 & 0 & 2 & 1 & 1 & 0 & 0 & 0 & 0 \tabularnewline
67 & 0 & 0 & 1 & 2 & 1 & 0 & 0 & 1 \tabularnewline
68 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline
69 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
70 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
74 & 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=267494&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]AMS.I  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]26[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]29[/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]30[/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]32[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]34[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]35[/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]37[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]38[/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]39[/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]40[/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]41[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]42[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]43[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][/ROW]
[C]44[/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]45[/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]46[/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]47[/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][/ROW]
[C]48[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]49[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]50[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]51[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]52[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/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]2[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]54[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]55[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]56[/C][C]1[/C][C]2[/C][C]2[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]57[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]58[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]59[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]60[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]61[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]62[/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][/ROW]
[C]63[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]64[/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]65[/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][/ROW]
[C]66[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]67[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[C]68[/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]69[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]70[/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][/ROW]
[C]74[/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=267494&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267494&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.I x age
1819202122232425
2601010000
2900001000
3000001000
3210000000
3401010000
3500001000
3710020000
3800010000
3900001000
4001000000
4100011000
4200011000
4300030201
4400010000
4500010000
4600001000
4700010100
4802010000
4902011000
5000200010
5111011100
5211021000
5300023000
5410120000
5502000000
5612230000
5700111110
5801131010
5900110000
6001010000
6102111000
6200000101
6301120000
6400020000
6500000100
6602110000
6700121001
6800020000
6910000000
7000000100
7400000010
8400001000







Tabulation of Expected Results
AMS.I x age
1819202122232425
260.120.350.210.730.320.140.070.05
290.060.180.110.360.160.070.040.03
300.060.180.110.360.160.070.040.03
320.060.180.110.360.160.070.040.03
340.120.350.210.730.320.140.070.05
350.060.180.110.360.160.070.040.03
370.190.530.321.090.480.210.110.08
380.060.180.110.360.160.070.040.03
390.060.180.110.360.160.070.040.03
400.060.180.110.360.160.070.040.03
410.120.350.210.730.320.140.070.05
420.120.350.210.730.320.140.070.05
430.371.060.642.180.960.420.210.16
440.060.180.110.360.160.070.040.03
450.060.180.110.360.160.070.040.03
460.060.180.110.360.160.070.040.03
470.120.350.210.730.320.140.070.05
480.190.530.321.090.480.210.110.08
490.250.710.421.450.640.280.140.11
500.190.530.321.090.480.210.110.08
510.310.880.531.810.80.350.180.13
520.310.880.531.810.80.350.180.13
530.310.880.531.810.80.350.180.13
540.250.710.421.450.640.280.140.11
550.120.350.210.730.320.140.070.05
560.51.420.852.91.270.570.280.21
570.310.880.531.810.80.350.180.13
580.431.240.742.541.120.50.250.19
590.120.350.210.730.320.140.070.05
600.120.350.210.730.320.140.070.05
610.310.880.531.810.80.350.180.13
620.120.350.210.730.320.140.070.05
630.250.710.421.450.640.280.140.11
640.120.350.210.730.320.140.070.05
650.060.180.110.360.160.070.040.03
660.250.710.421.450.640.280.140.11
670.310.880.531.810.80.350.180.13
680.120.350.210.730.320.140.070.05
690.060.180.110.360.160.070.040.03
700.060.180.110.360.160.070.040.03
740.060.180.110.360.160.070.040.03
840.060.180.110.360.160.070.040.03

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
AMS.I  x  age \tabularnewline
  & 18 & 19 & 20 & 21 & 22 & 23 & 24 & 25 \tabularnewline
26 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
29 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
30 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
32 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
34 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
35 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
37 & 0.19 & 0.53 & 0.32 & 1.09 & 0.48 & 0.21 & 0.11 & 0.08 \tabularnewline
38 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
39 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
40 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
41 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
42 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
43 & 0.37 & 1.06 & 0.64 & 2.18 & 0.96 & 0.42 & 0.21 & 0.16 \tabularnewline
44 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
45 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
46 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
47 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
48 & 0.19 & 0.53 & 0.32 & 1.09 & 0.48 & 0.21 & 0.11 & 0.08 \tabularnewline
49 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
50 & 0.19 & 0.53 & 0.32 & 1.09 & 0.48 & 0.21 & 0.11 & 0.08 \tabularnewline
51 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
52 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
53 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
54 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
55 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
56 & 0.5 & 1.42 & 0.85 & 2.9 & 1.27 & 0.57 & 0.28 & 0.21 \tabularnewline
57 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
58 & 0.43 & 1.24 & 0.74 & 2.54 & 1.12 & 0.5 & 0.25 & 0.19 \tabularnewline
59 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
60 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
61 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
62 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
63 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
64 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
65 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
66 & 0.25 & 0.71 & 0.42 & 1.45 & 0.64 & 0.28 & 0.14 & 0.11 \tabularnewline
67 & 0.31 & 0.88 & 0.53 & 1.81 & 0.8 & 0.35 & 0.18 & 0.13 \tabularnewline
68 & 0.12 & 0.35 & 0.21 & 0.73 & 0.32 & 0.14 & 0.07 & 0.05 \tabularnewline
69 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
70 & 0.06 & 0.18 & 0.11 & 0.36 & 0.16 & 0.07 & 0.04 & 0.03 \tabularnewline
74 & 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=267494&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]AMS.I  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]26[/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]29[/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]30[/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]32[/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]34[/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]35[/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]37[/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]38[/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]39[/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]40[/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]41[/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]42[/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]43[/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]44[/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]45[/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]46[/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]47[/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]48[/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]49[/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]50[/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]51[/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]52[/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]53[/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]54[/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]55[/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]0.5[/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]57[/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]58[/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]59[/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]60[/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]61[/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]62[/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]63[/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]64[/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]65[/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]66[/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]67[/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]68[/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]69[/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]70[/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]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]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=267494&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267494&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.I x age
1819202122232425
260.120.350.210.730.320.140.070.05
290.060.180.110.360.160.070.040.03
300.060.180.110.360.160.070.040.03
320.060.180.110.360.160.070.040.03
340.120.350.210.730.320.140.070.05
350.060.180.110.360.160.070.040.03
370.190.530.321.090.480.210.110.08
380.060.180.110.360.160.070.040.03
390.060.180.110.360.160.070.040.03
400.060.180.110.360.160.070.040.03
410.120.350.210.730.320.140.070.05
420.120.350.210.730.320.140.070.05
430.371.060.642.180.960.420.210.16
440.060.180.110.360.160.070.040.03
450.060.180.110.360.160.070.040.03
460.060.180.110.360.160.070.040.03
470.120.350.210.730.320.140.070.05
480.190.530.321.090.480.210.110.08
490.250.710.421.450.640.280.140.11
500.190.530.321.090.480.210.110.08
510.310.880.531.810.80.350.180.13
520.310.880.531.810.80.350.180.13
530.310.880.531.810.80.350.180.13
540.250.710.421.450.640.280.140.11
550.120.350.210.730.320.140.070.05
560.51.420.852.91.270.570.280.21
570.310.880.531.810.80.350.180.13
580.431.240.742.541.120.50.250.19
590.120.350.210.730.320.140.070.05
600.120.350.210.730.320.140.070.05
610.310.880.531.810.80.350.180.13
620.120.350.210.730.320.140.070.05
630.250.710.421.450.640.280.140.11
640.120.350.210.730.320.140.070.05
650.060.180.110.360.160.070.040.03
660.250.710.421.450.640.280.140.11
670.310.880.531.810.80.350.180.13
680.120.350.210.730.320.140.070.05
690.060.180.110.360.160.070.040.03
700.060.180.110.360.160.070.040.03
740.060.180.110.360.160.070.040.03
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 Statistic290.19
P value0.47

\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 & 290.19 \tabularnewline
P value & 0.47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267494&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]290.19[/C][/ROW]
[ROW][C]P value[/C][C]0.47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267494&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267494&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 Statistic290.19
P value0.47



Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 4 ; par3 = Exact Pearson Chi-Squared by Simulation ;
R code (references can be found in the software module):
par3 <- 'Pearson Chi-Squared'
par2 <- '4'
par1 <- '1'
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')