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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationSat, 12 Nov 2011 07:15:52 -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/12/t1321100162kzgiqj0t7cpoqjb.htm/, Retrieved Wed, 11 Jun 2025 10:17:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141439, Retrieved Wed, 11 Jun 2025 10:17:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact270

Tree of Dependent Computations

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] [] [2011-11-11 13:51:26] [bc54fcbdb4f9c071218969745a8ec94b]
-    D  [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [Depression - Sepe...] [2011-11-12 10:57:18] [586787d3e7267c593af3e1f6b16aa21a]
- R         [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-12 12:15:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
38	12
32	11
35	14
33	12
37	21
29	12
31	22
36	11
35	10
38	13
31	10
34	8
35	15
38	14
37	10
33	14
32	14
38	11
38	10
32	13
33	7
31	14
38	12
39	14
32	11
32	9
35	11
37	15
33	14
33	13
28	9
32	15
31	10
37	11
30	13
33	8
31	20
33	12
31	10
33	10
32	9
33	14
32	8
33	14
28	11
35	13
39	9
34	11
38	15
32	11
38	10
30	14
33	18
38	14
32	11
32	12
34	13
34	9
36	10
34	15
28	20
34	12
35	12
35	14
31	13
37	11
35	17
27	12
40	13
37	14
36	13
38	15
39	13
41	10
27	11
30	19
37	13
31	17
31	13
27	9
36	11
38	10
37	9
33	12
34	12
31	13
39	13
34	12
32	15
33	22
36	13
32	15
41	13
28	15
30	10
36	11
35	16
31	11
34	11
36	10
36	10
35	16
37	12
28	11
39	16
32	19
35	11
39	16
35	15
42	24
34	14
33	15
41	11
33	15
34	12
32	10
40	14
40	13
35	9
36	15
37	15
27	14
39	11
38	8
31	11
33	11
32	8
39	10
36	11
33	13
33	11
32	20
37	10
30	15
38	12
29	14
22	23
35	14
35	16
34	11
35	12
34	10
34	14
35	12
23	12
31	11
27	12
36	13
31	11
32	19
39	12
37	17
38	9
39	12
34	19
31	18
32	15
37	14
36	11
32	9
35	18
36	16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141439&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141439&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Tabulation of Results
Seperateness x Depression
789101112131415161718192021222324
22000000000000000010
23000001000000000000
27001012010000000000
28001020001000010000
29000001010000000000
30000100111000100000
31000340310011010100
32023141114000210000
33110123242001000100
34011134121000100000
35001123132311000000
36000350301100000000
37001221122010001000
38011313122000000000
39001112210200000000
40000000210000000000
41000110100000000000
42000000000000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Seperateness x Depression \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 24 \tabularnewline 22 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline 23 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 27 & 0 & 0 & 1 & 0 & 1 & 2 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 28 & 0 & 0 & 1 & 0 & 2 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 29 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 30 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 31 & 0 & 0 & 0 & 3 & 4 & 0 & 3 & 1 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 1 & 0 & 0 \tabularnewline 32 & 0 & 2 & 3 & 1 & 4 & 1 & 1 & 1 & 4 & 0 & 0 & 0 & 2 & 1 & 0 & 0 & 0 & 0 \tabularnewline 33 & 1 & 1 & 0 & 1 & 2 & 3 & 2 & 4 & 2 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline 34 & 0 & 1 & 1 & 1 & 3 & 4 & 1 & 2 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 35 & 0 & 0 & 1 & 1 & 2 & 3 & 1 & 3 & 2 & 3 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 36 & 0 & 0 & 0 & 3 & 5 & 0 & 3 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 37 & 0 & 0 & 1 & 2 & 2 & 1 & 1 & 2 & 2 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline 38 & 0 & 1 & 1 & 3 & 1 & 3 & 1 & 2 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 39 & 0 & 0 & 1 & 1 & 1 & 2 & 2 & 1 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 40 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 41 & 0 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 42 & 0 & 0 & 0 & 0 & 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=141439&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Seperateness x Depression[/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][C]21[/C][C]22[/C][C]23[/C][C]24[/C][/ROW] [C]22[/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][C]0[/C][/ROW] [C]23[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]27[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/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]0[/C][C]0[/C][C]1[/C][C]0[/C][C]2[/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]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]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]30[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/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][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]31[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]4[/C][C]0[/C][C]3[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]32[/C][C]0[/C][C]2[/C][C]3[/C][C]1[/C][C]4[/C][C]1[/C][C]1[/C][C]1[/C][C]4[/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][C]0[/C][/ROW] [C]33[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]3[/C][C]2[/C][C]4[/C][C]2[/C][C]0[/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][/ROW] [C]34[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]3[/C][C]4[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]35[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]3[/C][C]1[/C][C]3[/C][C]2[/C][C]3[/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]36[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]5[/C][C]0[/C][C]3[/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][/ROW] [C]37[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/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]0[/C][/ROW] [C]38[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]3[/C][C]1[/C][C]2[/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][C]0[/C][/ROW] [C]39[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/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][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]2[/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]41[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/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][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]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=141439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141439&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Results
Seperateness x Depression
789101112131415161718192021222324
22000000000000000010
23000001000000000000
27001012010000000000
28001020001000010000
29000001010000000000
30000100111000100000
31000340310011010100
32023141114000210000
33110123242001000100
34011134121000100000
35001123132311000000
36000350301100000000
37001221122010001000
38011313122000000000
39001112210200000000
40000000210000000000
41000110100000000000
42000000000000000001






Tabulation of Expected Results
Seperateness x Depression
789101112131415161718192021222324
220.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01
230.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01
270.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
280.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
290.010.060.120.220.350.260.230.250.20.070.040.040.050.040.010.020.010.01
300.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
310.090.460.931.672.591.941.761.851.480.560.280.280.370.280.090.190.090.09
320.120.621.232.223.462.592.352.471.980.740.370.370.490.370.120.250.120.12
330.110.561.1123.112.332.112.221.780.670.330.330.440.330.110.220.110.11
340.090.460.931.672.591.941.761.851.480.560.280.280.370.280.090.190.090.09
350.110.561.1123.112.332.112.221.780.670.330.330.440.330.110.220.110.11
360.080.40.81.442.251.691.521.61.280.480.240.240.320.240.080.160.080.08
370.080.40.81.442.251.691.521.61.280.480.240.240.320.240.080.160.080.08
380.090.430.861.562.421.811.641.731.380.520.260.260.350.260.090.170.090.09
390.060.310.621.111.731.31.171.230.990.370.190.190.250.190.060.120.060.06
400.020.090.190.330.520.390.350.370.30.110.060.060.070.060.020.040.020.02
410.020.090.190.330.520.390.350.370.30.110.060.060.070.060.020.040.020.02
420.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Seperateness x Depression \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 24 \tabularnewline 22 & 0.01 & 0.03 & 0.06 & 0.11 & 0.17 & 0.13 & 0.12 & 0.12 & 0.1 & 0.04 & 0.02 & 0.02 & 0.02 & 0.02 & 0.01 & 0.01 & 0.01 & 0.01 \tabularnewline 23 & 0.01 & 0.03 & 0.06 & 0.11 & 0.17 & 0.13 & 0.12 & 0.12 & 0.1 & 0.04 & 0.02 & 0.02 & 0.02 & 0.02 & 0.01 & 0.01 & 0.01 & 0.01 \tabularnewline 27 & 0.03 & 0.15 & 0.31 & 0.56 & 0.86 & 0.65 & 0.59 & 0.62 & 0.49 & 0.19 & 0.09 & 0.09 & 0.12 & 0.09 & 0.03 & 0.06 & 0.03 & 0.03 \tabularnewline 28 & 0.03 & 0.15 & 0.31 & 0.56 & 0.86 & 0.65 & 0.59 & 0.62 & 0.49 & 0.19 & 0.09 & 0.09 & 0.12 & 0.09 & 0.03 & 0.06 & 0.03 & 0.03 \tabularnewline 29 & 0.01 & 0.06 & 0.12 & 0.22 & 0.35 & 0.26 & 0.23 & 0.25 & 0.2 & 0.07 & 0.04 & 0.04 & 0.05 & 0.04 & 0.01 & 0.02 & 0.01 & 0.01 \tabularnewline 30 & 0.03 & 0.15 & 0.31 & 0.56 & 0.86 & 0.65 & 0.59 & 0.62 & 0.49 & 0.19 & 0.09 & 0.09 & 0.12 & 0.09 & 0.03 & 0.06 & 0.03 & 0.03 \tabularnewline 31 & 0.09 & 0.46 & 0.93 & 1.67 & 2.59 & 1.94 & 1.76 & 1.85 & 1.48 & 0.56 & 0.28 & 0.28 & 0.37 & 0.28 & 0.09 & 0.19 & 0.09 & 0.09 \tabularnewline 32 & 0.12 & 0.62 & 1.23 & 2.22 & 3.46 & 2.59 & 2.35 & 2.47 & 1.98 & 0.74 & 0.37 & 0.37 & 0.49 & 0.37 & 0.12 & 0.25 & 0.12 & 0.12 \tabularnewline 33 & 0.11 & 0.56 & 1.11 & 2 & 3.11 & 2.33 & 2.11 & 2.22 & 1.78 & 0.67 & 0.33 & 0.33 & 0.44 & 0.33 & 0.11 & 0.22 & 0.11 & 0.11 \tabularnewline 34 & 0.09 & 0.46 & 0.93 & 1.67 & 2.59 & 1.94 & 1.76 & 1.85 & 1.48 & 0.56 & 0.28 & 0.28 & 0.37 & 0.28 & 0.09 & 0.19 & 0.09 & 0.09 \tabularnewline 35 & 0.11 & 0.56 & 1.11 & 2 & 3.11 & 2.33 & 2.11 & 2.22 & 1.78 & 0.67 & 0.33 & 0.33 & 0.44 & 0.33 & 0.11 & 0.22 & 0.11 & 0.11 \tabularnewline 36 & 0.08 & 0.4 & 0.8 & 1.44 & 2.25 & 1.69 & 1.52 & 1.6 & 1.28 & 0.48 & 0.24 & 0.24 & 0.32 & 0.24 & 0.08 & 0.16 & 0.08 & 0.08 \tabularnewline 37 & 0.08 & 0.4 & 0.8 & 1.44 & 2.25 & 1.69 & 1.52 & 1.6 & 1.28 & 0.48 & 0.24 & 0.24 & 0.32 & 0.24 & 0.08 & 0.16 & 0.08 & 0.08 \tabularnewline 38 & 0.09 & 0.43 & 0.86 & 1.56 & 2.42 & 1.81 & 1.64 & 1.73 & 1.38 & 0.52 & 0.26 & 0.26 & 0.35 & 0.26 & 0.09 & 0.17 & 0.09 & 0.09 \tabularnewline 39 & 0.06 & 0.31 & 0.62 & 1.11 & 1.73 & 1.3 & 1.17 & 1.23 & 0.99 & 0.37 & 0.19 & 0.19 & 0.25 & 0.19 & 0.06 & 0.12 & 0.06 & 0.06 \tabularnewline 40 & 0.02 & 0.09 & 0.19 & 0.33 & 0.52 & 0.39 & 0.35 & 0.37 & 0.3 & 0.11 & 0.06 & 0.06 & 0.07 & 0.06 & 0.02 & 0.04 & 0.02 & 0.02 \tabularnewline 41 & 0.02 & 0.09 & 0.19 & 0.33 & 0.52 & 0.39 & 0.35 & 0.37 & 0.3 & 0.11 & 0.06 & 0.06 & 0.07 & 0.06 & 0.02 & 0.04 & 0.02 & 0.02 \tabularnewline 42 & 0.01 & 0.03 & 0.06 & 0.11 & 0.17 & 0.13 & 0.12 & 0.12 & 0.1 & 0.04 & 0.02 & 0.02 & 0.02 & 0.02 & 0.01 & 0.01 & 0.01 & 0.01 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=141439&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Seperateness x Depression[/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][C]21[/C][C]22[/C][C]23[/C][C]24[/C][/ROW] [C]22[/C][C]0.01[/C][C]0.03[/C][C]0.06[/C][C]0.11[/C][C]0.17[/C][C]0.13[/C][C]0.12[/C][C]0.12[/C][C]0.1[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]23[/C][C]0.01[/C][C]0.03[/C][C]0.06[/C][C]0.11[/C][C]0.17[/C][C]0.13[/C][C]0.12[/C][C]0.12[/C][C]0.1[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]27[/C][C]0.03[/C][C]0.15[/C][C]0.31[/C][C]0.56[/C][C]0.86[/C][C]0.65[/C][C]0.59[/C][C]0.62[/C][C]0.49[/C][C]0.19[/C][C]0.09[/C][C]0.09[/C][C]0.12[/C][C]0.09[/C][C]0.03[/C][C]0.06[/C][C]0.03[/C][C]0.03[/C][/ROW] [C]28[/C][C]0.03[/C][C]0.15[/C][C]0.31[/C][C]0.56[/C][C]0.86[/C][C]0.65[/C][C]0.59[/C][C]0.62[/C][C]0.49[/C][C]0.19[/C][C]0.09[/C][C]0.09[/C][C]0.12[/C][C]0.09[/C][C]0.03[/C][C]0.06[/C][C]0.03[/C][C]0.03[/C][/ROW] [C]29[/C][C]0.01[/C][C]0.06[/C][C]0.12[/C][C]0.22[/C][C]0.35[/C][C]0.26[/C][C]0.23[/C][C]0.25[/C][C]0.2[/C][C]0.07[/C][C]0.04[/C][C]0.04[/C][C]0.05[/C][C]0.04[/C][C]0.01[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]30[/C][C]0.03[/C][C]0.15[/C][C]0.31[/C][C]0.56[/C][C]0.86[/C][C]0.65[/C][C]0.59[/C][C]0.62[/C][C]0.49[/C][C]0.19[/C][C]0.09[/C][C]0.09[/C][C]0.12[/C][C]0.09[/C][C]0.03[/C][C]0.06[/C][C]0.03[/C][C]0.03[/C][/ROW] [C]31[/C][C]0.09[/C][C]0.46[/C][C]0.93[/C][C]1.67[/C][C]2.59[/C][C]1.94[/C][C]1.76[/C][C]1.85[/C][C]1.48[/C][C]0.56[/C][C]0.28[/C][C]0.28[/C][C]0.37[/C][C]0.28[/C][C]0.09[/C][C]0.19[/C][C]0.09[/C][C]0.09[/C][/ROW] [C]32[/C][C]0.12[/C][C]0.62[/C][C]1.23[/C][C]2.22[/C][C]3.46[/C][C]2.59[/C][C]2.35[/C][C]2.47[/C][C]1.98[/C][C]0.74[/C][C]0.37[/C][C]0.37[/C][C]0.49[/C][C]0.37[/C][C]0.12[/C][C]0.25[/C][C]0.12[/C][C]0.12[/C][/ROW] [C]33[/C][C]0.11[/C][C]0.56[/C][C]1.11[/C][C]2[/C][C]3.11[/C][C]2.33[/C][C]2.11[/C][C]2.22[/C][C]1.78[/C][C]0.67[/C][C]0.33[/C][C]0.33[/C][C]0.44[/C][C]0.33[/C][C]0.11[/C][C]0.22[/C][C]0.11[/C][C]0.11[/C][/ROW] [C]34[/C][C]0.09[/C][C]0.46[/C][C]0.93[/C][C]1.67[/C][C]2.59[/C][C]1.94[/C][C]1.76[/C][C]1.85[/C][C]1.48[/C][C]0.56[/C][C]0.28[/C][C]0.28[/C][C]0.37[/C][C]0.28[/C][C]0.09[/C][C]0.19[/C][C]0.09[/C][C]0.09[/C][/ROW] [C]35[/C][C]0.11[/C][C]0.56[/C][C]1.11[/C][C]2[/C][C]3.11[/C][C]2.33[/C][C]2.11[/C][C]2.22[/C][C]1.78[/C][C]0.67[/C][C]0.33[/C][C]0.33[/C][C]0.44[/C][C]0.33[/C][C]0.11[/C][C]0.22[/C][C]0.11[/C][C]0.11[/C][/ROW] [C]36[/C][C]0.08[/C][C]0.4[/C][C]0.8[/C][C]1.44[/C][C]2.25[/C][C]1.69[/C][C]1.52[/C][C]1.6[/C][C]1.28[/C][C]0.48[/C][C]0.24[/C][C]0.24[/C][C]0.32[/C][C]0.24[/C][C]0.08[/C][C]0.16[/C][C]0.08[/C][C]0.08[/C][/ROW] [C]37[/C][C]0.08[/C][C]0.4[/C][C]0.8[/C][C]1.44[/C][C]2.25[/C][C]1.69[/C][C]1.52[/C][C]1.6[/C][C]1.28[/C][C]0.48[/C][C]0.24[/C][C]0.24[/C][C]0.32[/C][C]0.24[/C][C]0.08[/C][C]0.16[/C][C]0.08[/C][C]0.08[/C][/ROW] [C]38[/C][C]0.09[/C][C]0.43[/C][C]0.86[/C][C]1.56[/C][C]2.42[/C][C]1.81[/C][C]1.64[/C][C]1.73[/C][C]1.38[/C][C]0.52[/C][C]0.26[/C][C]0.26[/C][C]0.35[/C][C]0.26[/C][C]0.09[/C][C]0.17[/C][C]0.09[/C][C]0.09[/C][/ROW] [C]39[/C][C]0.06[/C][C]0.31[/C][C]0.62[/C][C]1.11[/C][C]1.73[/C][C]1.3[/C][C]1.17[/C][C]1.23[/C][C]0.99[/C][C]0.37[/C][C]0.19[/C][C]0.19[/C][C]0.25[/C][C]0.19[/C][C]0.06[/C][C]0.12[/C][C]0.06[/C][C]0.06[/C][/ROW] [C]40[/C][C]0.02[/C][C]0.09[/C][C]0.19[/C][C]0.33[/C][C]0.52[/C][C]0.39[/C][C]0.35[/C][C]0.37[/C][C]0.3[/C][C]0.11[/C][C]0.06[/C][C]0.06[/C][C]0.07[/C][C]0.06[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]41[/C][C]0.02[/C][C]0.09[/C][C]0.19[/C][C]0.33[/C][C]0.52[/C][C]0.39[/C][C]0.35[/C][C]0.37[/C][C]0.3[/C][C]0.11[/C][C]0.06[/C][C]0.06[/C][C]0.07[/C][C]0.06[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]42[/C][C]0.01[/C][C]0.03[/C][C]0.06[/C][C]0.11[/C][C]0.17[/C][C]0.13[/C][C]0.12[/C][C]0.12[/C][C]0.1[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=141439&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141439&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Tabulation of Expected Results
Seperateness x Depression
789101112131415161718192021222324
220.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01
230.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01
270.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
280.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
290.010.060.120.220.350.260.230.250.20.070.040.040.050.040.010.020.010.01
300.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
310.090.460.931.672.591.941.761.851.480.560.280.280.370.280.090.190.090.09
320.120.621.232.223.462.592.352.471.980.740.370.370.490.370.120.250.120.12
330.110.561.1123.112.332.112.221.780.670.330.330.440.330.110.220.110.11
340.090.460.931.672.591.941.761.851.480.560.280.280.370.280.090.190.090.09
350.110.561.1123.112.332.112.221.780.670.330.330.440.330.110.220.110.11
360.080.40.81.442.251.691.521.61.280.480.240.240.320.240.080.160.080.08
370.080.40.81.442.251.691.521.61.280.480.240.240.320.240.080.160.080.08
380.090.430.861.562.421.811.641.731.380.520.260.260.350.260.090.170.090.09
390.060.310.621.111.731.31.171.230.990.370.190.190.250.190.060.120.060.06
400.020.090.190.330.520.390.350.370.30.110.060.060.070.060.020.040.020.02
410.020.090.190.330.520.390.350.370.30.110.060.060.070.060.020.040.020.02
420.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic506.77
Degrees of Freedom289
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 506.77 \tabularnewline
Degrees of Freedom & 289 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141439&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]506.77[/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=141439&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141439&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic506.77
Degrees of Freedom289
P value0


Figures (Output of Computation)

Input Parameters & R Code

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')