Free Statistics

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 computationWed, 16 Nov 2011 08:17:30 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/16/t1321449612ymbzef80avn50rh.htm/, Retrieved Thu, 18 Apr 2024 23:16:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143865, Retrieved Thu, 18 Apr 2024 23:16:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98
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] [chi-squared test WS6] [2011-11-16 13:17:30] [ae47d588931629dc57e50b2172c5fe3b] [Current]
-   P     [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi squared ] [2011-11-16 13:25:09] [430266ea0cf3e59522f72a6c9ff36aef]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [chi] [2011-11-16 13:33:17] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 13:39:10] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 13:42:45] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 13:46:48] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 13:48:47] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 13:52:16] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 13:54:44] [430266ea0cf3e59522f72a6c9ff36aef]
-   PD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 14:00:28] [430266ea0cf3e59522f72a6c9ff36aef]
- R PD      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [hap] [2012-10-22 18:46:12] [15cbcfe738d59edaf37329746b028204]
-             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Workshop 6 - task...] [2012-11-13 10:20:54] [353c914a8c7d77469810ba8608b2dc88]
-             [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [workshop 6 - blog 1] [2012-11-13 12:32:27] [4b5d54c77ed936bc7098bee572b32092]
- R           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Happiness & Depre...] [2012-11-13 15:45:33] [74be16979710d4c4e7c6647856088456]
-               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Happiness & Separate] [2012-11-13 15:53:16] [74be16979710d4c4e7c6647856088456]
- R           [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [workshop 6 (1)] [2012-11-13 15:57:42] [158deb8d8315125fbdd5a102cf8b998e]
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Dataseries X:
41	38	13	12	14	12	53
39	32	16	11	18	11	86
30	35	19	15	11	14	66
31	33	15	6	12	12	67
34	37	14	13	16	21	76
35	29	13	10	18	12	78
39	31	19	12	14	22	53
34	36	15	14	14	11	80
36	35	14	12	15	10	74
37	38	15	6	15	13	76
38	31	16	10	17	10	79
36	34	16	12	19	8	54
38	35	16	12	10	15	67
39	38	16	11	16	14	54
33	37	17	15	18	10	87
32	33	15	12	14	14	58
36	32	15	10	14	14	75
38	38	20	12	17	11	88
39	38	18	11	14	10	64
32	32	16	12	16	13	57
32	33	16	11	18	7	66
31	31	16	12	11	14	68
39	38	19	13	14	12	54
37	39	16	11	12	14	56
39	32	17	9	17	11	86
41	32	17	13	9	9	80
36	35	16	10	16	11	76
33	37	15	14	14	15	69
33	33	16	12	15	14	78
34	33	14	10	11	13	67
31	28	15	12	16	9	80
27	32	12	8	13	15	54
37	31	14	10	17	10	71
34	37	16	12	15	11	84
34	30	14	12	14	13	74
32	33	7	7	16	8	71
29	31	10	6	9	20	63
36	33	14	12	15	12	71
29	31	16	10	17	10	76
35	33	16	10	13	10	69
37	32	16	10	15	9	74
34	33	14	12	16	14	75
38	32	20	15	16	8	54
35	33	14	10	12	14	52
38	28	14	10	12	11	69
37	35	11	12	11	13	68
38	39	14	13	15	9	65
33	34	15	11	15	11	75
36	38	16	11	17	15	74
38	32	14	12	13	11	75
32	38	16	14	16	10	72
32	30	14	10	14	14	67
32	33	12	12	11	18	63
34	38	16	13	12	14	62
32	32	9	5	12	11	63
37	32	14	6	15	12	76
39	34	16	12	16	13	74
29	34	16	12	15	9	67
37	36	15	11	12	10	73
35	34	16	10	12	15	70
30	28	12	7	8	20	53
38	34	16	12	13	12	77
34	35	16	14	11	12	77
31	35	14	11	14	14	52
34	31	16	12	15	13	54
35	37	17	13	10	11	80
36	35	18	14	11	17	66
30	27	18	11	12	12	73
39	40	12	12	15	13	63
35	37	16	12	15	14	69
38	36	10	8	14	13	67
31	38	14	11	16	15	54
34	39	18	14	15	13	81
38	41	18	14	15	10	69
34	27	16	12	13	11	84
39	30	17	9	12	19	80
37	37	16	13	17	13	70
34	31	16	11	13	17	69
28	31	13	12	15	13	77
37	27	16	12	13	9	54
33	36	16	12	15	11	79
37	38	20	12	16	10	30
35	37	16	12	15	9	71
37	33	15	12	16	12	73
32	34	15	11	15	12	72
33	31	16	10	14	13	77
38	39	14	9	15	13	75
33	34	16	12	14	12	69
29	32	16	12	13	15	54
33	33	15	12	7	22	70
31	36	12	9	17	13	73
36	32	17	15	13	15	54
35	41	16	12	15	13	77
32	28	15	12	14	15	82
29	30	13	12	13	10	80
39	36	16	10	16	11	80
37	35	16	13	12	16	69
35	31	16	9	14	11	78
37	34	16	12	17	11	81
32	36	14	10	15	10	76
38	36	16	14	17	10	76
37	35	16	11	12	16	73
36	37	20	15	16	12	85
32	28	15	11	11	11	66
33	39	16	11	15	16	79
40	32	13	12	9	19	68
38	35	17	12	16	11	76
41	39	16	12	15	16	71
36	35	16	11	10	15	54
43	42	12	7	10	24	46
30	34	16	12	15	14	82
31	33	16	14	11	15	74
32	41	17	11	13	11	88
32	33	13	11	14	15	38
37	34	12	10	18	12	76
37	32	18	13	16	10	86
33	40	14	13	14	14	54
34	40	14	8	14	13	70
33	35	13	11	14	9	69
38	36	16	12	14	15	90
33	37	13	11	12	15	54
31	27	16	13	14	14	76
38	39	13	12	15	11	89
37	38	16	14	15	8	76
33	31	15	13	15	11	73
31	33	16	15	13	11	79
39	32	15	10	17	8	90
44	39	17	11	17	10	74
33	36	15	9	19	11	81
35	33	12	11	15	13	72
32	33	16	10	13	11	71
28	32	10	11	9	20	66
40	37	16	8	15	10	77
27	30	12	11	15	15	65
37	38	14	12	15	12	74
32	29	15	12	16	14	82
28	22	13	9	11	23	54
34	35	15	11	14	14	63
30	35	11	10	11	16	54
35	34	12	8	15	11	64
31	35	8	9	13	12	69
32	34	16	8	15	10	54
30	34	15	9	16	14	84
30	35	17	15	14	12	86
31	23	16	11	15	12	77
40	31	10	8	16	11	89
32	27	18	13	16	12	76
36	36	13	12	11	13	60
32	31	16	12	12	11	75
35	32	13	9	9	19	73
38	39	10	7	16	12	85
42	37	15	13	13	17	79
34	38	16	9	16	9	71
35	39	16	6	12	12	72
35	34	14	8	9	19	69
33	31	10	8	13	18	78
36	32	17	15	13	15	54
32	37	13	6	14	14	69
33	36	15	9	19	11	81
34	32	16	11	13	9	84
32	35	12	8	12	18	84




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143865&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143865&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143865&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'AstonUniversity' @ aston.wessa.net







Tabulation of Results
Connected x Seperate
222327282930313233343536373839404142
27000001010000000000
28100000110000000000
29000001210100000000
30001100000230000000
31011100103021010000
32001211126211110010
33000000302213301100
34001001212021221100
35000010113300301010
36000000031141110000
37001000131231141000
38000100120123014010
39000001130101030100
40000000110000100000
41000000010000011000
42000000000000100000
43000000000000000001
44000000000000001000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Connected x Seperate \tabularnewline & 22 & 23 & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 \tabularnewline 27 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 28 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 29 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 30 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 2 & 3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 31 & 0 & 1 & 1 & 1 & 0 & 0 & 1 & 0 & 3 & 0 & 2 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 32 & 0 & 0 & 1 & 2 & 1 & 1 & 1 & 2 & 6 & 2 & 1 & 1 & 1 & 1 & 0 & 0 & 1 & 0 \tabularnewline 33 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 0 & 2 & 2 & 1 & 3 & 3 & 0 & 1 & 1 & 0 & 0 \tabularnewline 34 & 0 & 0 & 1 & 0 & 0 & 1 & 2 & 1 & 2 & 0 & 2 & 1 & 2 & 2 & 1 & 1 & 0 & 0 \tabularnewline 35 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 1 & 3 & 3 & 0 & 0 & 3 & 0 & 1 & 0 & 1 & 0 \tabularnewline 36 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 1 & 1 & 4 & 1 & 1 & 1 & 0 & 0 & 0 & 0 \tabularnewline 37 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 3 & 1 & 2 & 3 & 1 & 1 & 4 & 1 & 0 & 0 & 0 \tabularnewline 38 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 2 & 0 & 1 & 2 & 3 & 0 & 1 & 4 & 0 & 1 & 0 \tabularnewline 39 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 3 & 0 & 1 & 0 & 1 & 0 & 3 & 0 & 1 & 0 & 0 \tabularnewline 40 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 41 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 \tabularnewline 42 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 43 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline 44 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=143865&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Connected x Seperate[/C][/ROW] [ROW][C] [/C][C]22[/C][C]23[/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]41[/C][C]42[/C][/ROW] [C]27[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]28[/C][C]1[/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][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]0[/C][C]1[/C][C]2[/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]30[/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]2[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]31[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]3[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]32[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]6[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]33[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]0[/C][C]2[/C][C]2[/C][C]1[/C][C]3[/C][C]3[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]34[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]2[/C][C]0[/C][C]2[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/C][C]1[/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]1[/C][C]1[/C][C]3[/C][C]3[/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]36[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]1[/C][C]1[/C][C]4[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]37[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]2[/C][C]3[/C][C]1[/C][C]1[/C][C]4[/C][C]1[/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]1[/C][C]2[/C][C]0[/C][C]1[/C][C]2[/C][C]3[/C][C]0[/C][C]1[/C][C]4[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]39[/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]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]3[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]40[/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]1[/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]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]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]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][C]0[/C][C]0[/C][/ROW] [C]43[/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]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW] [C]44[/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]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=143865&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143865&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
Connected x Seperate
222327282930313233343536373839404142
27000001010000000000
28100000110000000000
29000001210100000000
30001100000230000000
31011100103021010000
32001211126211110010
33000000302213301100
34001001212021221100
35000010113300301010
36000000031141110000
37001000131231141000
38000100120123014010
39000001130101030100
40000000110000100000
41000000010000011000
42000000000000100000
43000000000000000001
44000000000000001000







Tabulation of Expected Results
Connected x Seperate
222327282930313233343536373839404142
270.010.010.060.060.020.060.190.250.220.190.220.150.160.170.120.040.040.01
280.020.020.090.090.040.090.280.370.340.280.340.220.240.260.190.060.060.02
290.030.030.160.160.060.160.470.620.560.470.560.370.40.430.310.090.090.03
300.040.040.220.220.090.220.650.870.780.650.780.520.570.610.430.130.130.04
310.070.070.340.340.140.341.021.371.231.021.230.820.890.960.680.20.20.07
320.130.130.650.650.260.651.962.612.351.962.351.571.71.831.30.390.390.13
330.10.10.50.50.20.51.491.991.791.491.791.191.291.390.990.30.30.1
340.10.10.50.50.20.51.491.991.791.491.791.191.291.390.990.30.30.1
350.090.090.430.430.170.431.31.741.571.31.571.041.131.220.870.260.260.09
360.070.070.370.370.150.371.121.491.341.121.340.890.971.040.750.220.220.07
370.110.110.560.560.220.561.682.242.011.682.011.341.451.571.120.340.340.11
380.10.10.50.50.20.51.491.991.791.491.791.191.291.390.990.30.30.1
390.070.070.340.340.140.341.021.371.231.021.230.820.890.960.680.20.20.07
400.020.020.090.090.040.090.280.370.340.280.340.220.240.260.190.060.060.02
410.020.020.090.090.040.090.280.370.340.280.340.220.240.260.190.060.060.02
420.010.010.030.030.010.030.090.120.110.090.110.070.080.090.060.020.020.01
430.010.010.030.030.010.030.090.120.110.090.110.070.080.090.060.020.020.01
440.010.010.030.030.010.030.090.120.110.090.110.070.080.090.060.020.020.01

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Connected x Seperate \tabularnewline & 22 & 23 & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 \tabularnewline 27 & 0.01 & 0.01 & 0.06 & 0.06 & 0.02 & 0.06 & 0.19 & 0.25 & 0.22 & 0.19 & 0.22 & 0.15 & 0.16 & 0.17 & 0.12 & 0.04 & 0.04 & 0.01 \tabularnewline 28 & 0.02 & 0.02 & 0.09 & 0.09 & 0.04 & 0.09 & 0.28 & 0.37 & 0.34 & 0.28 & 0.34 & 0.22 & 0.24 & 0.26 & 0.19 & 0.06 & 0.06 & 0.02 \tabularnewline 29 & 0.03 & 0.03 & 0.16 & 0.16 & 0.06 & 0.16 & 0.47 & 0.62 & 0.56 & 0.47 & 0.56 & 0.37 & 0.4 & 0.43 & 0.31 & 0.09 & 0.09 & 0.03 \tabularnewline 30 & 0.04 & 0.04 & 0.22 & 0.22 & 0.09 & 0.22 & 0.65 & 0.87 & 0.78 & 0.65 & 0.78 & 0.52 & 0.57 & 0.61 & 0.43 & 0.13 & 0.13 & 0.04 \tabularnewline 31 & 0.07 & 0.07 & 0.34 & 0.34 & 0.14 & 0.34 & 1.02 & 1.37 & 1.23 & 1.02 & 1.23 & 0.82 & 0.89 & 0.96 & 0.68 & 0.2 & 0.2 & 0.07 \tabularnewline 32 & 0.13 & 0.13 & 0.65 & 0.65 & 0.26 & 0.65 & 1.96 & 2.61 & 2.35 & 1.96 & 2.35 & 1.57 & 1.7 & 1.83 & 1.3 & 0.39 & 0.39 & 0.13 \tabularnewline 33 & 0.1 & 0.1 & 0.5 & 0.5 & 0.2 & 0.5 & 1.49 & 1.99 & 1.79 & 1.49 & 1.79 & 1.19 & 1.29 & 1.39 & 0.99 & 0.3 & 0.3 & 0.1 \tabularnewline 34 & 0.1 & 0.1 & 0.5 & 0.5 & 0.2 & 0.5 & 1.49 & 1.99 & 1.79 & 1.49 & 1.79 & 1.19 & 1.29 & 1.39 & 0.99 & 0.3 & 0.3 & 0.1 \tabularnewline 35 & 0.09 & 0.09 & 0.43 & 0.43 & 0.17 & 0.43 & 1.3 & 1.74 & 1.57 & 1.3 & 1.57 & 1.04 & 1.13 & 1.22 & 0.87 & 0.26 & 0.26 & 0.09 \tabularnewline 36 & 0.07 & 0.07 & 0.37 & 0.37 & 0.15 & 0.37 & 1.12 & 1.49 & 1.34 & 1.12 & 1.34 & 0.89 & 0.97 & 1.04 & 0.75 & 0.22 & 0.22 & 0.07 \tabularnewline 37 & 0.11 & 0.11 & 0.56 & 0.56 & 0.22 & 0.56 & 1.68 & 2.24 & 2.01 & 1.68 & 2.01 & 1.34 & 1.45 & 1.57 & 1.12 & 0.34 & 0.34 & 0.11 \tabularnewline 38 & 0.1 & 0.1 & 0.5 & 0.5 & 0.2 & 0.5 & 1.49 & 1.99 & 1.79 & 1.49 & 1.79 & 1.19 & 1.29 & 1.39 & 0.99 & 0.3 & 0.3 & 0.1 \tabularnewline 39 & 0.07 & 0.07 & 0.34 & 0.34 & 0.14 & 0.34 & 1.02 & 1.37 & 1.23 & 1.02 & 1.23 & 0.82 & 0.89 & 0.96 & 0.68 & 0.2 & 0.2 & 0.07 \tabularnewline 40 & 0.02 & 0.02 & 0.09 & 0.09 & 0.04 & 0.09 & 0.28 & 0.37 & 0.34 & 0.28 & 0.34 & 0.22 & 0.24 & 0.26 & 0.19 & 0.06 & 0.06 & 0.02 \tabularnewline 41 & 0.02 & 0.02 & 0.09 & 0.09 & 0.04 & 0.09 & 0.28 & 0.37 & 0.34 & 0.28 & 0.34 & 0.22 & 0.24 & 0.26 & 0.19 & 0.06 & 0.06 & 0.02 \tabularnewline 42 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.07 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline 43 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.07 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline 44 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.07 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=143865&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Connected x Seperate[/C][/ROW] [ROW][C] [/C][C]22[/C][C]23[/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]41[/C][C]42[/C][/ROW] [C]27[/C][C]0.01[/C][C]0.01[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][C]0.06[/C][C]0.19[/C][C]0.25[/C][C]0.22[/C][C]0.19[/C][C]0.22[/C][C]0.15[/C][C]0.16[/C][C]0.17[/C][C]0.12[/C][C]0.04[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]28[/C][C]0.02[/C][C]0.02[/C][C]0.09[/C][C]0.09[/C][C]0.04[/C][C]0.09[/C][C]0.28[/C][C]0.37[/C][C]0.34[/C][C]0.28[/C][C]0.34[/C][C]0.22[/C][C]0.24[/C][C]0.26[/C][C]0.19[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW] [C]29[/C][C]0.03[/C][C]0.03[/C][C]0.16[/C][C]0.16[/C][C]0.06[/C][C]0.16[/C][C]0.47[/C][C]0.62[/C][C]0.56[/C][C]0.47[/C][C]0.56[/C][C]0.37[/C][C]0.4[/C][C]0.43[/C][C]0.31[/C][C]0.09[/C][C]0.09[/C][C]0.03[/C][/ROW] [C]30[/C][C]0.04[/C][C]0.04[/C][C]0.22[/C][C]0.22[/C][C]0.09[/C][C]0.22[/C][C]0.65[/C][C]0.87[/C][C]0.78[/C][C]0.65[/C][C]0.78[/C][C]0.52[/C][C]0.57[/C][C]0.61[/C][C]0.43[/C][C]0.13[/C][C]0.13[/C][C]0.04[/C][/ROW] [C]31[/C][C]0.07[/C][C]0.07[/C][C]0.34[/C][C]0.34[/C][C]0.14[/C][C]0.34[/C][C]1.02[/C][C]1.37[/C][C]1.23[/C][C]1.02[/C][C]1.23[/C][C]0.82[/C][C]0.89[/C][C]0.96[/C][C]0.68[/C][C]0.2[/C][C]0.2[/C][C]0.07[/C][/ROW] [C]32[/C][C]0.13[/C][C]0.13[/C][C]0.65[/C][C]0.65[/C][C]0.26[/C][C]0.65[/C][C]1.96[/C][C]2.61[/C][C]2.35[/C][C]1.96[/C][C]2.35[/C][C]1.57[/C][C]1.7[/C][C]1.83[/C][C]1.3[/C][C]0.39[/C][C]0.39[/C][C]0.13[/C][/ROW] [C]33[/C][C]0.1[/C][C]0.1[/C][C]0.5[/C][C]0.5[/C][C]0.2[/C][C]0.5[/C][C]1.49[/C][C]1.99[/C][C]1.79[/C][C]1.49[/C][C]1.79[/C][C]1.19[/C][C]1.29[/C][C]1.39[/C][C]0.99[/C][C]0.3[/C][C]0.3[/C][C]0.1[/C][/ROW] [C]34[/C][C]0.1[/C][C]0.1[/C][C]0.5[/C][C]0.5[/C][C]0.2[/C][C]0.5[/C][C]1.49[/C][C]1.99[/C][C]1.79[/C][C]1.49[/C][C]1.79[/C][C]1.19[/C][C]1.29[/C][C]1.39[/C][C]0.99[/C][C]0.3[/C][C]0.3[/C][C]0.1[/C][/ROW] [C]35[/C][C]0.09[/C][C]0.09[/C][C]0.43[/C][C]0.43[/C][C]0.17[/C][C]0.43[/C][C]1.3[/C][C]1.74[/C][C]1.57[/C][C]1.3[/C][C]1.57[/C][C]1.04[/C][C]1.13[/C][C]1.22[/C][C]0.87[/C][C]0.26[/C][C]0.26[/C][C]0.09[/C][/ROW] [C]36[/C][C]0.07[/C][C]0.07[/C][C]0.37[/C][C]0.37[/C][C]0.15[/C][C]0.37[/C][C]1.12[/C][C]1.49[/C][C]1.34[/C][C]1.12[/C][C]1.34[/C][C]0.89[/C][C]0.97[/C][C]1.04[/C][C]0.75[/C][C]0.22[/C][C]0.22[/C][C]0.07[/C][/ROW] [C]37[/C][C]0.11[/C][C]0.11[/C][C]0.56[/C][C]0.56[/C][C]0.22[/C][C]0.56[/C][C]1.68[/C][C]2.24[/C][C]2.01[/C][C]1.68[/C][C]2.01[/C][C]1.34[/C][C]1.45[/C][C]1.57[/C][C]1.12[/C][C]0.34[/C][C]0.34[/C][C]0.11[/C][/ROW] [C]38[/C][C]0.1[/C][C]0.1[/C][C]0.5[/C][C]0.5[/C][C]0.2[/C][C]0.5[/C][C]1.49[/C][C]1.99[/C][C]1.79[/C][C]1.49[/C][C]1.79[/C][C]1.19[/C][C]1.29[/C][C]1.39[/C][C]0.99[/C][C]0.3[/C][C]0.3[/C][C]0.1[/C][/ROW] [C]39[/C][C]0.07[/C][C]0.07[/C][C]0.34[/C][C]0.34[/C][C]0.14[/C][C]0.34[/C][C]1.02[/C][C]1.37[/C][C]1.23[/C][C]1.02[/C][C]1.23[/C][C]0.82[/C][C]0.89[/C][C]0.96[/C][C]0.68[/C][C]0.2[/C][C]0.2[/C][C]0.07[/C][/ROW] [C]40[/C][C]0.02[/C][C]0.02[/C][C]0.09[/C][C]0.09[/C][C]0.04[/C][C]0.09[/C][C]0.28[/C][C]0.37[/C][C]0.34[/C][C]0.28[/C][C]0.34[/C][C]0.22[/C][C]0.24[/C][C]0.26[/C][C]0.19[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW] [C]41[/C][C]0.02[/C][C]0.02[/C][C]0.09[/C][C]0.09[/C][C]0.04[/C][C]0.09[/C][C]0.28[/C][C]0.37[/C][C]0.34[/C][C]0.28[/C][C]0.34[/C][C]0.22[/C][C]0.24[/C][C]0.26[/C][C]0.19[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW] [C]42[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.07[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [C]43[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.07[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [C]44[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.07[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=143865&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143865&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
Connected x Seperate
222327282930313233343536373839404142
270.010.010.060.060.020.060.190.250.220.190.220.150.160.170.120.040.040.01
280.020.020.090.090.040.090.280.370.340.280.340.220.240.260.190.060.060.02
290.030.030.160.160.060.160.470.620.560.470.560.370.40.430.310.090.090.03
300.040.040.220.220.090.220.650.870.780.650.780.520.570.610.430.130.130.04
310.070.070.340.340.140.341.021.371.231.021.230.820.890.960.680.20.20.07
320.130.130.650.650.260.651.962.612.351.962.351.571.71.831.30.390.390.13
330.10.10.50.50.20.51.491.991.791.491.791.191.291.390.990.30.30.1
340.10.10.50.50.20.51.491.991.791.491.791.191.291.390.990.30.30.1
350.090.090.430.430.170.431.31.741.571.31.571.041.131.220.870.260.260.09
360.070.070.370.370.150.371.121.491.341.121.340.890.971.040.750.220.220.07
370.110.110.560.560.220.561.682.242.011.682.011.341.451.571.120.340.340.11
380.10.10.50.50.20.51.491.991.791.491.791.191.291.390.990.30.30.1
390.070.070.340.340.140.341.021.371.231.021.230.820.890.960.680.20.20.07
400.020.020.090.090.040.090.280.370.340.280.340.220.240.260.190.060.060.02
410.020.020.090.090.040.090.280.370.340.280.340.220.240.260.190.060.060.02
420.010.010.030.030.010.030.090.120.110.090.110.070.080.090.060.020.020.01
430.010.010.030.030.010.030.090.120.110.090.110.070.080.090.060.020.020.01
440.010.010.030.030.010.030.090.120.110.090.110.070.080.090.060.020.020.01







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic445.19
Degrees of Freedom289
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 445.19 \tabularnewline
Degrees of Freedom & 289 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143865&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Pearson Chi Square Statistic[/C][C]445.19[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]289[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143865&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143865&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
Pearson Chi Square Statistic445.19
Degrees of Freedom289
P value0



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
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')