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of Irreproducible Research!

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 14:27:37 +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/t1418567268q3rjkw0q2t2olwa.htm/, Retrieved Thu, 16 May 2024 03:42:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267627, Retrieved Thu, 16 May 2024 03:42:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
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 14:27:37] [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 Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267627&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267627&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267627&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 Maurice George Kendall' @ kendall.wessa.net







Tabulation of Results
AMS.E x CONFSTATTOT
7891011121314151617181920
4200000000001000
5000000010000000
5200000011000000
5300000010000000
5400000002000000
5600100000000000
5800000001000000
5900010200021000
6000001110020000
6100000011020000
6201011200000000
6300010020020010
6401000001211000
6500000111120000
6610000121220000
6701000100200000
6800010202110010
6900000000230000
7001001003100000
7100000010041010
7200010000120100
7300000112101010
7400010000000000
7500101001100000
7601010000021000
7810010100000000
8100000001000000
8400000000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline AMS.E x CONFSTATTOT \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \tabularnewline 42 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline 50 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 52 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 53 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 54 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 56 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 58 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 59 & 0 & 0 & 0 & 1 & 0 & 2 & 0 & 0 & 0 & 2 & 1 & 0 & 0 & 0 \tabularnewline 60 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline 61 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline 62 & 0 & 1 & 0 & 1 & 1 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 63 & 0 & 0 & 0 & 1 & 0 & 0 & 2 & 0 & 0 & 2 & 0 & 0 & 1 & 0 \tabularnewline 64 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 1 & 0 & 0 & 0 \tabularnewline 65 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 2 & 0 & 0 & 0 & 0 \tabularnewline 66 & 1 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 2 & 2 & 0 & 0 & 0 & 0 \tabularnewline 67 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0 \tabularnewline 68 & 0 & 0 & 0 & 1 & 0 & 2 & 0 & 2 & 1 & 1 & 0 & 0 & 1 & 0 \tabularnewline 69 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 3 & 0 & 0 & 0 & 0 \tabularnewline 70 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 3 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 71 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 4 & 1 & 0 & 1 & 0 \tabularnewline 72 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 2 & 0 & 1 & 0 & 0 \tabularnewline 73 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 1 & 0 & 1 & 0 & 1 & 0 \tabularnewline 74 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 75 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 76 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 0 & 0 & 0 \tabularnewline 78 & 1 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 81 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 84 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=267627&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]AMS.E x CONFSTATTOT[/C][/ROW] [ROW][C] [/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][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/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]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]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]52[/C][C]0[/C][C]0[/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][C]0[/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]0[/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]54[/C][C]0[/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][C]0[/C][C]0[/C][/ROW] [C]56[/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][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]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]59[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]60[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/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]61[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]62[/C][C]0[/C][C]1[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]63[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]64[/C][C]0[/C][C]1[/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]1[/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]1[/C][C]1[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]66[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]2[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]67[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/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][C]0[/C][/ROW] [C]68[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]69[/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]2[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]70[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]3[/C][C]1[/C][C]0[/C][C]0[/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]0[/C][C]1[/C][C]0[/C][C]0[/C][C]4[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]72[/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]1[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]73[/C][C]0[/C][C]0[/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]1[/C][C]0[/C][C]1[/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][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]0[/C][C]1[/C][C]0[/C][C]1[/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][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]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]78[/C][C]1[/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][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][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]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=267627&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267627&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 CONFSTATTOT
7891011121314151617181920
4200000000001000
5000000010000000
5200000011000000
5300000010000000
5400000002000000
5600100000000000
5800000001000000
5900010200021000
6000001110020000
6100000011020000
6201011200000000
6300010020020010
6401000001211000
6500000111120000
6610000121220000
6701000100200000
6800010202110010
6900000000230000
7001001003100000
7100000010041010
7200010000120100
7300000112101010
7400010000000000
7500101001100000
7601010000021000
7810010100000000
8100000001000000
8400000000000001







Tabulation of Expected Results
AMS.E x CONFSTATTOT
7891011121314151617181920
420.020.040.020.070.040.110.110.150.120.220.050.010.040.01
500.020.040.020.070.040.110.110.150.120.220.050.010.040.01
520.040.090.040.140.070.210.210.30.250.440.110.020.070.02
530.020.040.020.070.040.110.110.150.120.220.050.010.040.01
540.040.090.040.140.070.210.210.30.250.440.110.020.070.02
560.020.040.020.070.040.110.110.150.120.220.050.010.040.01
580.020.040.020.070.040.110.110.150.120.220.050.010.040.01
590.110.270.110.420.210.640.640.90.741.330.320.050.210.05
600.090.220.090.350.180.530.530.750.621.110.270.040.180.04
610.070.180.070.280.140.420.420.60.50.880.210.040.140.04
620.090.220.090.350.180.530.530.750.621.110.270.040.180.04
630.110.270.110.420.210.640.640.90.741.330.320.050.210.05
640.110.270.110.420.210.640.640.90.741.330.320.050.210.05
650.110.270.110.420.210.640.640.90.741.330.320.050.210.05
660.160.40.160.640.320.960.961.351.121.990.480.080.320.08
670.070.180.070.280.140.420.420.60.50.880.210.040.140.04
680.140.350.140.570.280.850.851.20.991.770.420.070.280.07
690.090.220.090.350.180.530.530.750.621.110.270.040.180.04
700.110.270.110.420.210.640.640.90.741.330.320.050.210.05
710.120.310.120.50.250.740.741.050.871.550.370.060.250.06
720.090.220.090.350.180.530.530.750.621.110.270.040.180.04
730.120.310.120.50.250.740.741.050.871.550.370.060.250.06
740.020.040.020.070.040.110.110.150.120.220.050.010.040.01
750.070.180.070.280.140.420.420.60.50.880.210.040.140.04
760.090.220.090.350.180.530.530.750.621.110.270.040.180.04
780.050.130.050.210.110.320.320.450.370.660.160.030.110.03
810.020.040.020.070.040.110.110.150.120.220.050.010.040.01
840.020.040.020.070.040.110.110.150.120.220.050.010.040.01

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline AMS.E x CONFSTATTOT \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \tabularnewline 42 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 50 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 52 & 0.04 & 0.09 & 0.04 & 0.14 & 0.07 & 0.21 & 0.21 & 0.3 & 0.25 & 0.44 & 0.11 & 0.02 & 0.07 & 0.02 \tabularnewline 53 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 54 & 0.04 & 0.09 & 0.04 & 0.14 & 0.07 & 0.21 & 0.21 & 0.3 & 0.25 & 0.44 & 0.11 & 0.02 & 0.07 & 0.02 \tabularnewline 56 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 58 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 59 & 0.11 & 0.27 & 0.11 & 0.42 & 0.21 & 0.64 & 0.64 & 0.9 & 0.74 & 1.33 & 0.32 & 0.05 & 0.21 & 0.05 \tabularnewline 60 & 0.09 & 0.22 & 0.09 & 0.35 & 0.18 & 0.53 & 0.53 & 0.75 & 0.62 & 1.11 & 0.27 & 0.04 & 0.18 & 0.04 \tabularnewline 61 & 0.07 & 0.18 & 0.07 & 0.28 & 0.14 & 0.42 & 0.42 & 0.6 & 0.5 & 0.88 & 0.21 & 0.04 & 0.14 & 0.04 \tabularnewline 62 & 0.09 & 0.22 & 0.09 & 0.35 & 0.18 & 0.53 & 0.53 & 0.75 & 0.62 & 1.11 & 0.27 & 0.04 & 0.18 & 0.04 \tabularnewline 63 & 0.11 & 0.27 & 0.11 & 0.42 & 0.21 & 0.64 & 0.64 & 0.9 & 0.74 & 1.33 & 0.32 & 0.05 & 0.21 & 0.05 \tabularnewline 64 & 0.11 & 0.27 & 0.11 & 0.42 & 0.21 & 0.64 & 0.64 & 0.9 & 0.74 & 1.33 & 0.32 & 0.05 & 0.21 & 0.05 \tabularnewline 65 & 0.11 & 0.27 & 0.11 & 0.42 & 0.21 & 0.64 & 0.64 & 0.9 & 0.74 & 1.33 & 0.32 & 0.05 & 0.21 & 0.05 \tabularnewline 66 & 0.16 & 0.4 & 0.16 & 0.64 & 0.32 & 0.96 & 0.96 & 1.35 & 1.12 & 1.99 & 0.48 & 0.08 & 0.32 & 0.08 \tabularnewline 67 & 0.07 & 0.18 & 0.07 & 0.28 & 0.14 & 0.42 & 0.42 & 0.6 & 0.5 & 0.88 & 0.21 & 0.04 & 0.14 & 0.04 \tabularnewline 68 & 0.14 & 0.35 & 0.14 & 0.57 & 0.28 & 0.85 & 0.85 & 1.2 & 0.99 & 1.77 & 0.42 & 0.07 & 0.28 & 0.07 \tabularnewline 69 & 0.09 & 0.22 & 0.09 & 0.35 & 0.18 & 0.53 & 0.53 & 0.75 & 0.62 & 1.11 & 0.27 & 0.04 & 0.18 & 0.04 \tabularnewline 70 & 0.11 & 0.27 & 0.11 & 0.42 & 0.21 & 0.64 & 0.64 & 0.9 & 0.74 & 1.33 & 0.32 & 0.05 & 0.21 & 0.05 \tabularnewline 71 & 0.12 & 0.31 & 0.12 & 0.5 & 0.25 & 0.74 & 0.74 & 1.05 & 0.87 & 1.55 & 0.37 & 0.06 & 0.25 & 0.06 \tabularnewline 72 & 0.09 & 0.22 & 0.09 & 0.35 & 0.18 & 0.53 & 0.53 & 0.75 & 0.62 & 1.11 & 0.27 & 0.04 & 0.18 & 0.04 \tabularnewline 73 & 0.12 & 0.31 & 0.12 & 0.5 & 0.25 & 0.74 & 0.74 & 1.05 & 0.87 & 1.55 & 0.37 & 0.06 & 0.25 & 0.06 \tabularnewline 74 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 75 & 0.07 & 0.18 & 0.07 & 0.28 & 0.14 & 0.42 & 0.42 & 0.6 & 0.5 & 0.88 & 0.21 & 0.04 & 0.14 & 0.04 \tabularnewline 76 & 0.09 & 0.22 & 0.09 & 0.35 & 0.18 & 0.53 & 0.53 & 0.75 & 0.62 & 1.11 & 0.27 & 0.04 & 0.18 & 0.04 \tabularnewline 78 & 0.05 & 0.13 & 0.05 & 0.21 & 0.11 & 0.32 & 0.32 & 0.45 & 0.37 & 0.66 & 0.16 & 0.03 & 0.11 & 0.03 \tabularnewline 81 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline 84 & 0.02 & 0.04 & 0.02 & 0.07 & 0.04 & 0.11 & 0.11 & 0.15 & 0.12 & 0.22 & 0.05 & 0.01 & 0.04 & 0.01 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=267627&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]AMS.E x CONFSTATTOT[/C][/ROW] [ROW][C] [/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][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][/ROW] [C]42[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]50[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]52[/C][C]0.04[/C][C]0.09[/C][C]0.04[/C][C]0.14[/C][C]0.07[/C][C]0.21[/C][C]0.21[/C][C]0.3[/C][C]0.25[/C][C]0.44[/C][C]0.11[/C][C]0.02[/C][C]0.07[/C][C]0.02[/C][/ROW] [C]53[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]54[/C][C]0.04[/C][C]0.09[/C][C]0.04[/C][C]0.14[/C][C]0.07[/C][C]0.21[/C][C]0.21[/C][C]0.3[/C][C]0.25[/C][C]0.44[/C][C]0.11[/C][C]0.02[/C][C]0.07[/C][C]0.02[/C][/ROW] [C]56[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]58[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]59[/C][C]0.11[/C][C]0.27[/C][C]0.11[/C][C]0.42[/C][C]0.21[/C][C]0.64[/C][C]0.64[/C][C]0.9[/C][C]0.74[/C][C]1.33[/C][C]0.32[/C][C]0.05[/C][C]0.21[/C][C]0.05[/C][/ROW] [C]60[/C][C]0.09[/C][C]0.22[/C][C]0.09[/C][C]0.35[/C][C]0.18[/C][C]0.53[/C][C]0.53[/C][C]0.75[/C][C]0.62[/C][C]1.11[/C][C]0.27[/C][C]0.04[/C][C]0.18[/C][C]0.04[/C][/ROW] [C]61[/C][C]0.07[/C][C]0.18[/C][C]0.07[/C][C]0.28[/C][C]0.14[/C][C]0.42[/C][C]0.42[/C][C]0.6[/C][C]0.5[/C][C]0.88[/C][C]0.21[/C][C]0.04[/C][C]0.14[/C][C]0.04[/C][/ROW] [C]62[/C][C]0.09[/C][C]0.22[/C][C]0.09[/C][C]0.35[/C][C]0.18[/C][C]0.53[/C][C]0.53[/C][C]0.75[/C][C]0.62[/C][C]1.11[/C][C]0.27[/C][C]0.04[/C][C]0.18[/C][C]0.04[/C][/ROW] [C]63[/C][C]0.11[/C][C]0.27[/C][C]0.11[/C][C]0.42[/C][C]0.21[/C][C]0.64[/C][C]0.64[/C][C]0.9[/C][C]0.74[/C][C]1.33[/C][C]0.32[/C][C]0.05[/C][C]0.21[/C][C]0.05[/C][/ROW] [C]64[/C][C]0.11[/C][C]0.27[/C][C]0.11[/C][C]0.42[/C][C]0.21[/C][C]0.64[/C][C]0.64[/C][C]0.9[/C][C]0.74[/C][C]1.33[/C][C]0.32[/C][C]0.05[/C][C]0.21[/C][C]0.05[/C][/ROW] [C]65[/C][C]0.11[/C][C]0.27[/C][C]0.11[/C][C]0.42[/C][C]0.21[/C][C]0.64[/C][C]0.64[/C][C]0.9[/C][C]0.74[/C][C]1.33[/C][C]0.32[/C][C]0.05[/C][C]0.21[/C][C]0.05[/C][/ROW] [C]66[/C][C]0.16[/C][C]0.4[/C][C]0.16[/C][C]0.64[/C][C]0.32[/C][C]0.96[/C][C]0.96[/C][C]1.35[/C][C]1.12[/C][C]1.99[/C][C]0.48[/C][C]0.08[/C][C]0.32[/C][C]0.08[/C][/ROW] [C]67[/C][C]0.07[/C][C]0.18[/C][C]0.07[/C][C]0.28[/C][C]0.14[/C][C]0.42[/C][C]0.42[/C][C]0.6[/C][C]0.5[/C][C]0.88[/C][C]0.21[/C][C]0.04[/C][C]0.14[/C][C]0.04[/C][/ROW] [C]68[/C][C]0.14[/C][C]0.35[/C][C]0.14[/C][C]0.57[/C][C]0.28[/C][C]0.85[/C][C]0.85[/C][C]1.2[/C][C]0.99[/C][C]1.77[/C][C]0.42[/C][C]0.07[/C][C]0.28[/C][C]0.07[/C][/ROW] [C]69[/C][C]0.09[/C][C]0.22[/C][C]0.09[/C][C]0.35[/C][C]0.18[/C][C]0.53[/C][C]0.53[/C][C]0.75[/C][C]0.62[/C][C]1.11[/C][C]0.27[/C][C]0.04[/C][C]0.18[/C][C]0.04[/C][/ROW] [C]70[/C][C]0.11[/C][C]0.27[/C][C]0.11[/C][C]0.42[/C][C]0.21[/C][C]0.64[/C][C]0.64[/C][C]0.9[/C][C]0.74[/C][C]1.33[/C][C]0.32[/C][C]0.05[/C][C]0.21[/C][C]0.05[/C][/ROW] [C]71[/C][C]0.12[/C][C]0.31[/C][C]0.12[/C][C]0.5[/C][C]0.25[/C][C]0.74[/C][C]0.74[/C][C]1.05[/C][C]0.87[/C][C]1.55[/C][C]0.37[/C][C]0.06[/C][C]0.25[/C][C]0.06[/C][/ROW] [C]72[/C][C]0.09[/C][C]0.22[/C][C]0.09[/C][C]0.35[/C][C]0.18[/C][C]0.53[/C][C]0.53[/C][C]0.75[/C][C]0.62[/C][C]1.11[/C][C]0.27[/C][C]0.04[/C][C]0.18[/C][C]0.04[/C][/ROW] [C]73[/C][C]0.12[/C][C]0.31[/C][C]0.12[/C][C]0.5[/C][C]0.25[/C][C]0.74[/C][C]0.74[/C][C]1.05[/C][C]0.87[/C][C]1.55[/C][C]0.37[/C][C]0.06[/C][C]0.25[/C][C]0.06[/C][/ROW] [C]74[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]75[/C][C]0.07[/C][C]0.18[/C][C]0.07[/C][C]0.28[/C][C]0.14[/C][C]0.42[/C][C]0.42[/C][C]0.6[/C][C]0.5[/C][C]0.88[/C][C]0.21[/C][C]0.04[/C][C]0.14[/C][C]0.04[/C][/ROW] [C]76[/C][C]0.09[/C][C]0.22[/C][C]0.09[/C][C]0.35[/C][C]0.18[/C][C]0.53[/C][C]0.53[/C][C]0.75[/C][C]0.62[/C][C]1.11[/C][C]0.27[/C][C]0.04[/C][C]0.18[/C][C]0.04[/C][/ROW] [C]78[/C][C]0.05[/C][C]0.13[/C][C]0.05[/C][C]0.21[/C][C]0.11[/C][C]0.32[/C][C]0.32[/C][C]0.45[/C][C]0.37[/C][C]0.66[/C][C]0.16[/C][C]0.03[/C][C]0.11[/C][C]0.03[/C][/ROW] [C]81[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]84[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.04[/C][C]0.11[/C][C]0.11[/C][C]0.15[/C][C]0.12[/C][C]0.22[/C][C]0.05[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=267627&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267627&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 CONFSTATTOT
7891011121314151617181920
420.020.040.020.070.040.110.110.150.120.220.050.010.040.01
500.020.040.020.070.040.110.110.150.120.220.050.010.040.01
520.040.090.040.140.070.210.210.30.250.440.110.020.070.02
530.020.040.020.070.040.110.110.150.120.220.050.010.040.01
540.040.090.040.140.070.210.210.30.250.440.110.020.070.02
560.020.040.020.070.040.110.110.150.120.220.050.010.040.01
580.020.040.020.070.040.110.110.150.120.220.050.010.040.01
590.110.270.110.420.210.640.640.90.741.330.320.050.210.05
600.090.220.090.350.180.530.530.750.621.110.270.040.180.04
610.070.180.070.280.140.420.420.60.50.880.210.040.140.04
620.090.220.090.350.180.530.530.750.621.110.270.040.180.04
630.110.270.110.420.210.640.640.90.741.330.320.050.210.05
640.110.270.110.420.210.640.640.90.741.330.320.050.210.05
650.110.270.110.420.210.640.640.90.741.330.320.050.210.05
660.160.40.160.640.320.960.961.351.121.990.480.080.320.08
670.070.180.070.280.140.420.420.60.50.880.210.040.140.04
680.140.350.140.570.280.850.851.20.991.770.420.070.280.07
690.090.220.090.350.180.530.530.750.621.110.270.040.180.04
700.110.270.110.420.210.640.640.90.741.330.320.050.210.05
710.120.310.120.50.250.740.741.050.871.550.370.060.250.06
720.090.220.090.350.180.530.530.750.621.110.270.040.180.04
730.120.310.120.50.250.740.741.050.871.550.370.060.250.06
740.020.040.020.070.040.110.110.150.120.220.050.010.040.01
750.070.180.070.280.140.420.420.60.50.880.210.040.140.04
760.090.220.090.350.180.530.530.750.621.110.270.040.180.04
780.050.130.050.210.110.320.320.450.370.660.160.030.110.03
810.020.040.020.070.040.110.110.150.120.220.050.010.040.01
840.020.040.020.070.040.110.110.150.120.220.050.010.040.01







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic451.81
P value0.03

\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 & 451.81 \tabularnewline
P value & 0.03 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267627&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]451.81[/C][/ROW]
[ROW][C]P value[/C][C]0.03[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267627&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267627&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 Statistic451.81
P value0.03



Parameters (Session):
par1 = 2 ; par2 = 5 ; par3 = Exact Pearson Chi-Squared by Simulation ;
Parameters (R input):
par1 = 2 ; par2 = 5 ; par3 = Exact Pearson Chi-Squared by Simulation ;
R code (references can be found in the software module):
par3 <- 'Exact Pearson Chi-Squared by Simulation'
par2 <- '5'
par1 <- '2'
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')