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Description of Statistical Computation

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 03:37:02 -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/t13214326498ckabdz3l279mgk.htm/, Retrieved Thu, 25 Apr 2024 13:17:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143748, Retrieved Thu, 25 Apr 2024 13:17:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

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] [] [2011-11-16 08:37:02] [ea5ba587a62f29790549e6d9c8da7af9] [Current]
-    D    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [] [2011-11-16 08:45:11] [74b1954779f2bc6b3fb275195772ea6c]
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Dataset

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

Tables (Output of Computation)





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=143748&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=143748&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143748&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Tabulation of Results
Separate x Learning
7891011121314151617181920
2200000010000000
2300000000010000
2700000000030200
2800000101300000
2900000010100000
3000000112001000
3100030011180010
3200110122254101
3310000214460000
3400000201390000
3501002112162110
3600010121440000
3700000021252001
3800000012160112
3900010012041100
4000000102000000
4100000000011100
4200000100000000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Separate x Learning \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \tabularnewline 22 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 23 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 27 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 0 & 2 & 0 & 0 \tabularnewline 28 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 3 & 0 & 0 & 0 & 0 & 0 \tabularnewline 29 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 30 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline 31 & 0 & 0 & 0 & 3 & 0 & 0 & 1 & 1 & 1 & 8 & 0 & 0 & 1 & 0 \tabularnewline 32 & 0 & 0 & 1 & 1 & 0 & 1 & 2 & 2 & 2 & 5 & 4 & 1 & 0 & 1 \tabularnewline 33 & 1 & 0 & 0 & 0 & 0 & 2 & 1 & 4 & 4 & 6 & 0 & 0 & 0 & 0 \tabularnewline 34 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 1 & 3 & 9 & 0 & 0 & 0 & 0 \tabularnewline 35 & 0 & 1 & 0 & 0 & 2 & 1 & 1 & 2 & 1 & 6 & 2 & 1 & 1 & 0 \tabularnewline 36 & 0 & 0 & 0 & 1 & 0 & 1 & 2 & 1 & 4 & 4 & 0 & 0 & 0 & 0 \tabularnewline 37 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 2 & 5 & 2 & 0 & 0 & 1 \tabularnewline 38 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 6 & 0 & 1 & 1 & 2 \tabularnewline 39 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 2 & 0 & 4 & 1 & 1 & 0 & 0 \tabularnewline 40 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 41 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 0 & 0 \tabularnewline 42 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=143748&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Separate x Learning[/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]22[/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]23[/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][/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]0[/C][C]3[/C][C]0[/C][C]2[/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]1[/C][C]0[/C][C]1[/C][C]3[/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]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][/ROW] [C]30[/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]0[/C][C]0[/C][C]1[/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]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]8[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]32[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]2[/C][C]2[/C][C]5[/C][C]4[/C][C]1[/C][C]0[/C][C]1[/C][/ROW] [C]33[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]4[/C][C]4[/C][C]6[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]34[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]3[/C][C]9[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]35[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]6[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][/ROW] [C]36[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]4[/C][C]4[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]37[/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]2[/C][C]5[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][/ROW] [C]38[/C][C]0[/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]6[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][/ROW] [C]39[/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]4[/C][C]1[/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]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][/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]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/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]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] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=143748&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143748&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
Separate x Learning
7891011121314151617181920
2200000010000000
2300000000010000
2700000000030200
2800000101300000
2900000010100000
3000000112001000
3100030011180010
3200110122254101
3310000214460000
3400000201390000
3501002112162110
3600010121440000
3700000021252001
3800000012160112
3900010012041100
4000000102000000
4100000000011100
4200000100000000






Tabulation of Expected Results
Separate x Learning
7891011121314151617181920
220.010.010.010.040.010.070.090.130.140.360.070.040.020.02
230.010.010.010.040.010.070.090.130.140.360.070.040.020.02
270.030.030.030.190.060.340.430.650.681.790.340.220.090.12
280.030.030.030.190.060.340.430.650.681.790.340.220.090.12
290.010.010.010.070.020.140.170.260.270.720.140.090.040.05
300.030.030.030.190.060.340.430.650.681.790.340.220.090.12
310.090.090.090.560.191.021.31.942.045.371.020.650.280.37
320.120.120.120.740.251.361.732.592.727.161.360.860.370.49
330.110.110.110.670.221.221.562.332.446.441.220.780.330.44
340.090.090.090.560.191.021.31.942.045.371.020.650.280.37
350.110.110.110.670.221.221.562.332.446.441.220.780.330.44
360.080.080.080.480.160.881.121.691.774.650.880.560.240.32
370.080.080.080.480.160.881.121.691.774.650.880.560.240.32
380.090.090.090.520.170.951.211.811.95.010.950.60.260.35
390.060.060.060.370.120.680.861.31.363.580.680.430.190.25
400.020.020.020.110.040.20.260.390.411.070.20.130.060.07
410.020.020.020.110.040.20.260.390.411.070.20.130.060.07
420.010.010.010.040.010.070.090.130.140.360.070.040.020.02

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Separate x Learning \tabularnewline & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \tabularnewline 22 & 0.01 & 0.01 & 0.01 & 0.04 & 0.01 & 0.07 & 0.09 & 0.13 & 0.14 & 0.36 & 0.07 & 0.04 & 0.02 & 0.02 \tabularnewline 23 & 0.01 & 0.01 & 0.01 & 0.04 & 0.01 & 0.07 & 0.09 & 0.13 & 0.14 & 0.36 & 0.07 & 0.04 & 0.02 & 0.02 \tabularnewline 27 & 0.03 & 0.03 & 0.03 & 0.19 & 0.06 & 0.34 & 0.43 & 0.65 & 0.68 & 1.79 & 0.34 & 0.22 & 0.09 & 0.12 \tabularnewline 28 & 0.03 & 0.03 & 0.03 & 0.19 & 0.06 & 0.34 & 0.43 & 0.65 & 0.68 & 1.79 & 0.34 & 0.22 & 0.09 & 0.12 \tabularnewline 29 & 0.01 & 0.01 & 0.01 & 0.07 & 0.02 & 0.14 & 0.17 & 0.26 & 0.27 & 0.72 & 0.14 & 0.09 & 0.04 & 0.05 \tabularnewline 30 & 0.03 & 0.03 & 0.03 & 0.19 & 0.06 & 0.34 & 0.43 & 0.65 & 0.68 & 1.79 & 0.34 & 0.22 & 0.09 & 0.12 \tabularnewline 31 & 0.09 & 0.09 & 0.09 & 0.56 & 0.19 & 1.02 & 1.3 & 1.94 & 2.04 & 5.37 & 1.02 & 0.65 & 0.28 & 0.37 \tabularnewline 32 & 0.12 & 0.12 & 0.12 & 0.74 & 0.25 & 1.36 & 1.73 & 2.59 & 2.72 & 7.16 & 1.36 & 0.86 & 0.37 & 0.49 \tabularnewline 33 & 0.11 & 0.11 & 0.11 & 0.67 & 0.22 & 1.22 & 1.56 & 2.33 & 2.44 & 6.44 & 1.22 & 0.78 & 0.33 & 0.44 \tabularnewline 34 & 0.09 & 0.09 & 0.09 & 0.56 & 0.19 & 1.02 & 1.3 & 1.94 & 2.04 & 5.37 & 1.02 & 0.65 & 0.28 & 0.37 \tabularnewline 35 & 0.11 & 0.11 & 0.11 & 0.67 & 0.22 & 1.22 & 1.56 & 2.33 & 2.44 & 6.44 & 1.22 & 0.78 & 0.33 & 0.44 \tabularnewline 36 & 0.08 & 0.08 & 0.08 & 0.48 & 0.16 & 0.88 & 1.12 & 1.69 & 1.77 & 4.65 & 0.88 & 0.56 & 0.24 & 0.32 \tabularnewline 37 & 0.08 & 0.08 & 0.08 & 0.48 & 0.16 & 0.88 & 1.12 & 1.69 & 1.77 & 4.65 & 0.88 & 0.56 & 0.24 & 0.32 \tabularnewline 38 & 0.09 & 0.09 & 0.09 & 0.52 & 0.17 & 0.95 & 1.21 & 1.81 & 1.9 & 5.01 & 0.95 & 0.6 & 0.26 & 0.35 \tabularnewline 39 & 0.06 & 0.06 & 0.06 & 0.37 & 0.12 & 0.68 & 0.86 & 1.3 & 1.36 & 3.58 & 0.68 & 0.43 & 0.19 & 0.25 \tabularnewline 40 & 0.02 & 0.02 & 0.02 & 0.11 & 0.04 & 0.2 & 0.26 & 0.39 & 0.41 & 1.07 & 0.2 & 0.13 & 0.06 & 0.07 \tabularnewline 41 & 0.02 & 0.02 & 0.02 & 0.11 & 0.04 & 0.2 & 0.26 & 0.39 & 0.41 & 1.07 & 0.2 & 0.13 & 0.06 & 0.07 \tabularnewline 42 & 0.01 & 0.01 & 0.01 & 0.04 & 0.01 & 0.07 & 0.09 & 0.13 & 0.14 & 0.36 & 0.07 & 0.04 & 0.02 & 0.02 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=143748&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Separate x Learning[/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]22[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][C]0.07[/C][C]0.09[/C][C]0.13[/C][C]0.14[/C][C]0.36[/C][C]0.07[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]23[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][C]0.07[/C][C]0.09[/C][C]0.13[/C][C]0.14[/C][C]0.36[/C][C]0.07[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]27[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.19[/C][C]0.06[/C][C]0.34[/C][C]0.43[/C][C]0.65[/C][C]0.68[/C][C]1.79[/C][C]0.34[/C][C]0.22[/C][C]0.09[/C][C]0.12[/C][/ROW] [C]28[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.19[/C][C]0.06[/C][C]0.34[/C][C]0.43[/C][C]0.65[/C][C]0.68[/C][C]1.79[/C][C]0.34[/C][C]0.22[/C][C]0.09[/C][C]0.12[/C][/ROW] [C]29[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.07[/C][C]0.02[/C][C]0.14[/C][C]0.17[/C][C]0.26[/C][C]0.27[/C][C]0.72[/C][C]0.14[/C][C]0.09[/C][C]0.04[/C][C]0.05[/C][/ROW] [C]30[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.19[/C][C]0.06[/C][C]0.34[/C][C]0.43[/C][C]0.65[/C][C]0.68[/C][C]1.79[/C][C]0.34[/C][C]0.22[/C][C]0.09[/C][C]0.12[/C][/ROW] [C]31[/C][C]0.09[/C][C]0.09[/C][C]0.09[/C][C]0.56[/C][C]0.19[/C][C]1.02[/C][C]1.3[/C][C]1.94[/C][C]2.04[/C][C]5.37[/C][C]1.02[/C][C]0.65[/C][C]0.28[/C][C]0.37[/C][/ROW] [C]32[/C][C]0.12[/C][C]0.12[/C][C]0.12[/C][C]0.74[/C][C]0.25[/C][C]1.36[/C][C]1.73[/C][C]2.59[/C][C]2.72[/C][C]7.16[/C][C]1.36[/C][C]0.86[/C][C]0.37[/C][C]0.49[/C][/ROW] [C]33[/C][C]0.11[/C][C]0.11[/C][C]0.11[/C][C]0.67[/C][C]0.22[/C][C]1.22[/C][C]1.56[/C][C]2.33[/C][C]2.44[/C][C]6.44[/C][C]1.22[/C][C]0.78[/C][C]0.33[/C][C]0.44[/C][/ROW] [C]34[/C][C]0.09[/C][C]0.09[/C][C]0.09[/C][C]0.56[/C][C]0.19[/C][C]1.02[/C][C]1.3[/C][C]1.94[/C][C]2.04[/C][C]5.37[/C][C]1.02[/C][C]0.65[/C][C]0.28[/C][C]0.37[/C][/ROW] [C]35[/C][C]0.11[/C][C]0.11[/C][C]0.11[/C][C]0.67[/C][C]0.22[/C][C]1.22[/C][C]1.56[/C][C]2.33[/C][C]2.44[/C][C]6.44[/C][C]1.22[/C][C]0.78[/C][C]0.33[/C][C]0.44[/C][/ROW] [C]36[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.48[/C][C]0.16[/C][C]0.88[/C][C]1.12[/C][C]1.69[/C][C]1.77[/C][C]4.65[/C][C]0.88[/C][C]0.56[/C][C]0.24[/C][C]0.32[/C][/ROW] [C]37[/C][C]0.08[/C][C]0.08[/C][C]0.08[/C][C]0.48[/C][C]0.16[/C][C]0.88[/C][C]1.12[/C][C]1.69[/C][C]1.77[/C][C]4.65[/C][C]0.88[/C][C]0.56[/C][C]0.24[/C][C]0.32[/C][/ROW] [C]38[/C][C]0.09[/C][C]0.09[/C][C]0.09[/C][C]0.52[/C][C]0.17[/C][C]0.95[/C][C]1.21[/C][C]1.81[/C][C]1.9[/C][C]5.01[/C][C]0.95[/C][C]0.6[/C][C]0.26[/C][C]0.35[/C][/ROW] [C]39[/C][C]0.06[/C][C]0.06[/C][C]0.06[/C][C]0.37[/C][C]0.12[/C][C]0.68[/C][C]0.86[/C][C]1.3[/C][C]1.36[/C][C]3.58[/C][C]0.68[/C][C]0.43[/C][C]0.19[/C][C]0.25[/C][/ROW] [C]40[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.11[/C][C]0.04[/C][C]0.2[/C][C]0.26[/C][C]0.39[/C][C]0.41[/C][C]1.07[/C][C]0.2[/C][C]0.13[/C][C]0.06[/C][C]0.07[/C][/ROW] [C]41[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][C]0.11[/C][C]0.04[/C][C]0.2[/C][C]0.26[/C][C]0.39[/C][C]0.41[/C][C]1.07[/C][C]0.2[/C][C]0.13[/C][C]0.06[/C][C]0.07[/C][/ROW] [C]42[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.01[/C][C]0.07[/C][C]0.09[/C][C]0.13[/C][C]0.14[/C][C]0.36[/C][C]0.07[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=143748&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143748&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
Separate x Learning
7891011121314151617181920
220.010.010.010.040.010.070.090.130.140.360.070.040.020.02
230.010.010.010.040.010.070.090.130.140.360.070.040.020.02
270.030.030.030.190.060.340.430.650.681.790.340.220.090.12
280.030.030.030.190.060.340.430.650.681.790.340.220.090.12
290.010.010.010.070.020.140.170.260.270.720.140.090.040.05
300.030.030.030.190.060.340.430.650.681.790.340.220.090.12
310.090.090.090.560.191.021.31.942.045.371.020.650.280.37
320.120.120.120.740.251.361.732.592.727.161.360.860.370.49
330.110.110.110.670.221.221.562.332.446.441.220.780.330.44
340.090.090.090.560.191.021.31.942.045.371.020.650.280.37
350.110.110.110.670.221.221.562.332.446.441.220.780.330.44
360.080.080.080.480.160.881.121.691.774.650.880.560.240.32
370.080.080.080.480.160.881.121.691.774.650.880.560.240.32
380.090.090.090.520.170.951.211.811.95.010.950.60.260.35
390.060.060.060.370.120.680.861.31.363.580.680.430.190.25
400.020.020.020.110.040.20.260.390.411.070.20.130.060.07
410.020.020.020.110.040.20.260.390.411.070.20.130.060.07
420.010.010.010.040.010.070.090.130.140.360.070.040.020.02






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic210.33
Degrees of Freedom221
P value0.69

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 210.33 \tabularnewline
Degrees of Freedom & 221 \tabularnewline
P value & 0.69 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143748&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]210.33[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]221[/C][/ROW]
[ROW][C]P value[/C][C]0.69[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143748&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143748&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 Statistic210.33
Degrees of Freedom221
P value0.69


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')