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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 computationThu, 17 Nov 2011 11:41:14 -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/17/t1321548088z29cragjumlac2f.htm/, Retrieved Thu, 25 Apr 2024 21:45:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=145095, Retrieved Thu, 25 Apr 2024 21:45:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
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] [X²] [2011-11-17 16:41:14] [0660ab7f73584383b51055654be2b156] [Current]
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Dataseries X:
41	12
39	11
30	14
31	12
34	21
35	12
39	22
34	11
36	10
37	13
38	10
36	8
38	15
39	14
33	10
32	14
36	14
38	11
39	10
32	13
32	7
31	14
39	12
37	14
39	11
41	9
36	11
33	15
33	14
34	13
31	9
27	15
37	10
34	11
34	13
32	8
29	20
36	12
29	10
35	10
37	9
34	14
38	8
35	14
38	11
37	13
38	9
33	11
36	15
38	11
32	10
32	14
32	18
34	14
32	11
37	12
39	13
29	9
37	10
35	15
30	20
38	12
34	12
31	14
34	13
35	11
36	17
30	12
39	13
35	14
38	13
31	15
34	13
38	10
34	11
39	19
37	13
34	17
28	13
37	9
33	11
37	10
35	9
37	12
32	12
33	13
38	13
33	12
29	15
33	22
31	13
36	15
35	13
32	15
29	10
39	11
37	16
35	11
37	11
32	10
38	10
37	16
36	12
32	11
33	16
40	19
38	11
41	16
36	15
43	24
30	14
31	15
32	11
32	15
37	12
37	10
33	14
34	13
33	9
38	15
33	15
31	14
38	11
37	8
33	11
31	11
39	8
44	10
33	11
35	13
32	11
28	20
40	10
27	15
37	12
32	14
28	23
34	14
30	16
35	11
31	12
32	10
30	14
30	12
31	12
40	11
32	12
36	13
32	11
35	19
38	12
42	17
34	9
35	12
35	19
33	18
36	15
32	14
33	11
34	9
32	18
34	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145095&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=145095&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145095&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'Herman Ole Andreas Wold' @ wold.wessa.net







Tabulation of Results
Connected x Depression
789101112131415161718192021222324
27000000002000000000
28000000100000010010
29001200001000010000
30000002030100010000
31001013132000000000
32110352142002000000
33001151122101000100
34002031530110001000
35001132221000200000
36010112114010000000
37012414310200000000
38011352202000000000
39010131210000100100
40000110000000100000
41001001000100000000
42000000000010000000
43000000000000000001
44000100000000000000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Connected x Depression \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 24 \tabularnewline 27 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 28 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 \tabularnewline 29 & 0 & 0 & 1 & 2 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 30 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 3 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 31 & 0 & 0 & 1 & 0 & 1 & 3 & 1 & 3 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 32 & 1 & 1 & 0 & 3 & 5 & 2 & 1 & 4 & 2 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 33 & 0 & 0 & 1 & 1 & 5 & 1 & 1 & 2 & 2 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline 34 & 0 & 0 & 2 & 0 & 3 & 1 & 5 & 3 & 0 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline 35 & 0 & 0 & 1 & 1 & 3 & 2 & 2 & 2 & 1 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0 \tabularnewline 36 & 0 & 1 & 0 & 1 & 1 & 2 & 1 & 1 & 4 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 37 & 0 & 1 & 2 & 4 & 1 & 4 & 3 & 1 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 38 & 0 & 1 & 1 & 3 & 5 & 2 & 2 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 39 & 0 & 1 & 0 & 1 & 3 & 1 & 2 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 \tabularnewline 40 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 41 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 42 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 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 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=145095&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Connected 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]27[/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]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]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]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]29[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/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]1[/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]0[/C][C]0[/C][C]2[/C][C]0[/C][C]3[/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][C]0[/C][/ROW] [C]31[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]3[/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]32[/C][C]1[/C][C]1[/C][C]0[/C][C]3[/C][C]5[/C][C]2[/C][C]1[/C][C]4[/C][C]2[/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]33[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]5[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/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]0[/C][C]2[/C][C]0[/C][C]3[/C][C]1[/C][C]5[/C][C]3[/C][C]0[/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][/ROW] [C]35[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]2[/C][C]2[/C][C]2[/C][C]1[/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][/ROW] [C]36[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]4[/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]37[/C][C]0[/C][C]1[/C][C]2[/C][C]4[/C][C]1[/C][C]4[/C][C]3[/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]38[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]5[/C][C]2[/C][C]2[/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][C]0[/C][/ROW] [C]39[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]2[/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]1[/C][C]0[/C][C]0[/C][/ROW] [C]40[/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]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]1[/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][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]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]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]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][C]0[/C][C]0[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=145095&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145095&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 Depression
789101112131415161718192021222324
27000000002000000000
28000000100000010010
29001200001000010000
30000002030100010000
31001013132000000000
32110352142002000000
33001151122101000100
34002031530110001000
35001132221000200000
36010112114010000000
37012414310200000000
38011352202000000000
39010131210000100100
40000110000000100000
41001001000100000000
42000000000010000000
43000000000000000001
44000100000000000000







Tabulation of Expected Results
Connected x Depression
789101112131415161718192021222324
270.010.060.120.220.350.260.230.250.20.070.040.040.050.040.010.020.010.01
280.020.090.190.330.520.390.350.370.30.110.060.060.070.060.020.040.020.02
290.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
300.040.220.430.781.210.910.820.860.690.260.130.130.170.130.040.090.040.04
310.070.340.681.221.91.431.291.361.090.410.20.20.270.20.070.140.070.07
320.130.651.32.333.632.722.462.592.070.780.390.390.520.390.130.260.130.13
330.10.490.991.782.772.071.881.981.580.590.30.30.40.30.10.20.10.1
340.10.521.051.892.942.21.992.11.680.630.310.310.420.310.10.210.10.1
350.090.430.861.562.421.811.641.731.380.520.260.260.350.260.090.170.090.09
360.070.370.741.332.071.561.411.481.190.440.220.220.30.220.070.150.070.07
370.110.561.1123.112.332.112.221.780.670.330.330.440.330.110.220.110.11
380.10.490.991.782.772.071.881.981.580.590.30.30.40.30.10.20.10.1
390.070.340.681.221.91.431.291.361.090.410.20.20.270.20.070.140.070.07
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
430.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01
440.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Connected x Depression \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 24 \tabularnewline 27 & 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 28 & 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 29 & 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 30 & 0.04 & 0.22 & 0.43 & 0.78 & 1.21 & 0.91 & 0.82 & 0.86 & 0.69 & 0.26 & 0.13 & 0.13 & 0.17 & 0.13 & 0.04 & 0.09 & 0.04 & 0.04 \tabularnewline 31 & 0.07 & 0.34 & 0.68 & 1.22 & 1.9 & 1.43 & 1.29 & 1.36 & 1.09 & 0.41 & 0.2 & 0.2 & 0.27 & 0.2 & 0.07 & 0.14 & 0.07 & 0.07 \tabularnewline 32 & 0.13 & 0.65 & 1.3 & 2.33 & 3.63 & 2.72 & 2.46 & 2.59 & 2.07 & 0.78 & 0.39 & 0.39 & 0.52 & 0.39 & 0.13 & 0.26 & 0.13 & 0.13 \tabularnewline 33 & 0.1 & 0.49 & 0.99 & 1.78 & 2.77 & 2.07 & 1.88 & 1.98 & 1.58 & 0.59 & 0.3 & 0.3 & 0.4 & 0.3 & 0.1 & 0.2 & 0.1 & 0.1 \tabularnewline 34 & 0.1 & 0.52 & 1.05 & 1.89 & 2.94 & 2.2 & 1.99 & 2.1 & 1.68 & 0.63 & 0.31 & 0.31 & 0.42 & 0.31 & 0.1 & 0.21 & 0.1 & 0.1 \tabularnewline 35 & 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 36 & 0.07 & 0.37 & 0.74 & 1.33 & 2.07 & 1.56 & 1.41 & 1.48 & 1.19 & 0.44 & 0.22 & 0.22 & 0.3 & 0.22 & 0.07 & 0.15 & 0.07 & 0.07 \tabularnewline 37 & 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 38 & 0.1 & 0.49 & 0.99 & 1.78 & 2.77 & 2.07 & 1.88 & 1.98 & 1.58 & 0.59 & 0.3 & 0.3 & 0.4 & 0.3 & 0.1 & 0.2 & 0.1 & 0.1 \tabularnewline 39 & 0.07 & 0.34 & 0.68 & 1.22 & 1.9 & 1.43 & 1.29 & 1.36 & 1.09 & 0.41 & 0.2 & 0.2 & 0.27 & 0.2 & 0.07 & 0.14 & 0.07 & 0.07 \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 43 & 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 44 & 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=145095&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Connected 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]27[/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]28[/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]29[/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]30[/C][C]0.04[/C][C]0.22[/C][C]0.43[/C][C]0.78[/C][C]1.21[/C][C]0.91[/C][C]0.82[/C][C]0.86[/C][C]0.69[/C][C]0.26[/C][C]0.13[/C][C]0.13[/C][C]0.17[/C][C]0.13[/C][C]0.04[/C][C]0.09[/C][C]0.04[/C][C]0.04[/C][/ROW] [C]31[/C][C]0.07[/C][C]0.34[/C][C]0.68[/C][C]1.22[/C][C]1.9[/C][C]1.43[/C][C]1.29[/C][C]1.36[/C][C]1.09[/C][C]0.41[/C][C]0.2[/C][C]0.2[/C][C]0.27[/C][C]0.2[/C][C]0.07[/C][C]0.14[/C][C]0.07[/C][C]0.07[/C][/ROW] [C]32[/C][C]0.13[/C][C]0.65[/C][C]1.3[/C][C]2.33[/C][C]3.63[/C][C]2.72[/C][C]2.46[/C][C]2.59[/C][C]2.07[/C][C]0.78[/C][C]0.39[/C][C]0.39[/C][C]0.52[/C][C]0.39[/C][C]0.13[/C][C]0.26[/C][C]0.13[/C][C]0.13[/C][/ROW] [C]33[/C][C]0.1[/C][C]0.49[/C][C]0.99[/C][C]1.78[/C][C]2.77[/C][C]2.07[/C][C]1.88[/C][C]1.98[/C][C]1.58[/C][C]0.59[/C][C]0.3[/C][C]0.3[/C][C]0.4[/C][C]0.3[/C][C]0.1[/C][C]0.2[/C][C]0.1[/C][C]0.1[/C][/ROW] [C]34[/C][C]0.1[/C][C]0.52[/C][C]1.05[/C][C]1.89[/C][C]2.94[/C][C]2.2[/C][C]1.99[/C][C]2.1[/C][C]1.68[/C][C]0.63[/C][C]0.31[/C][C]0.31[/C][C]0.42[/C][C]0.31[/C][C]0.1[/C][C]0.21[/C][C]0.1[/C][C]0.1[/C][/ROW] [C]35[/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]36[/C][C]0.07[/C][C]0.37[/C][C]0.74[/C][C]1.33[/C][C]2.07[/C][C]1.56[/C][C]1.41[/C][C]1.48[/C][C]1.19[/C][C]0.44[/C][C]0.22[/C][C]0.22[/C][C]0.3[/C][C]0.22[/C][C]0.07[/C][C]0.15[/C][C]0.07[/C][C]0.07[/C][/ROW] [C]37[/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]38[/C][C]0.1[/C][C]0.49[/C][C]0.99[/C][C]1.78[/C][C]2.77[/C][C]2.07[/C][C]1.88[/C][C]1.98[/C][C]1.58[/C][C]0.59[/C][C]0.3[/C][C]0.3[/C][C]0.4[/C][C]0.3[/C][C]0.1[/C][C]0.2[/C][C]0.1[/C][C]0.1[/C][/ROW] [C]39[/C][C]0.07[/C][C]0.34[/C][C]0.68[/C][C]1.22[/C][C]1.9[/C][C]1.43[/C][C]1.29[/C][C]1.36[/C][C]1.09[/C][C]0.41[/C][C]0.2[/C][C]0.2[/C][C]0.27[/C][C]0.2[/C][C]0.07[/C][C]0.14[/C][C]0.07[/C][C]0.07[/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] [C]43[/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]44[/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=145095&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145095&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 Depression
789101112131415161718192021222324
270.010.060.120.220.350.260.230.250.20.070.040.040.050.040.010.020.010.01
280.020.090.190.330.520.390.350.370.30.110.060.060.070.060.020.040.020.02
290.030.150.310.560.860.650.590.620.490.190.090.090.120.090.030.060.030.03
300.040.220.430.781.210.910.820.860.690.260.130.130.170.130.040.090.040.04
310.070.340.681.221.91.431.291.361.090.410.20.20.270.20.070.140.070.07
320.130.651.32.333.632.722.462.592.070.780.390.390.520.390.130.260.130.13
330.10.490.991.782.772.071.881.981.580.590.30.30.40.30.10.20.10.1
340.10.521.051.892.942.21.992.11.680.630.310.310.420.310.10.210.10.1
350.090.430.861.562.421.811.641.731.380.520.260.260.350.260.090.170.090.09
360.070.370.741.332.071.561.411.481.190.440.220.220.30.220.070.150.070.07
370.110.561.1123.112.332.112.221.780.670.330.330.440.330.110.220.110.11
380.10.490.991.782.772.071.881.981.580.590.30.30.40.30.10.20.10.1
390.070.340.681.221.91.431.291.361.090.410.20.20.270.20.070.140.070.07
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
430.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01
440.010.030.060.110.170.130.120.120.10.040.020.020.020.020.010.010.010.01







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic497.33
Degrees of Freedom289
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 497.33 \tabularnewline
Degrees of Freedom & 289 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=145095&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]497.33[/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=145095&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=145095&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 Statistic497.33
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')