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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 computationWed, 16 Nov 2011 06:51:33 -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/t132144433675llr36mfg3d3hb.htm/, Retrieved Fri, 29 Mar 2024 06:39:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143821, Retrieved Fri, 29 Mar 2024 06:39:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
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] [w6 chi6] [2011-11-16 11:51:33] [d6b8e0ceefc1e2de0b53f6dffb5d636c] [Current]
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Dataseries X:
38	14
32	18
35	11
33	12
37	16
29	18
31	14
36	14
35	15
38	15
31	17
34	19
35	10
38	16
37	18
33	14
32	14
38	17
38	14
32	16
33	18
31	11
38	14
39	12
32	17
32	9
35	16
37	14
33	15
33	11
28	16
32	13
31	17
37	15
30	14
33	16
31	9
33	15
31	17
33	13
32	15
33	16
32	16
33	12
28	12
35	11
39	15
34	15
38	17
32	13
38	16
30	14
33	11
38	12
32	12
32	15
34	16
34	15
36	12
34	12
28	8
34	13
35	11
35	14
31	15
37	10
35	11
27	12
40	15
37	15
36	14
38	16
39	15
41	15
27	13
30	12
37	17
31	13
31	15
27	13
36	15
38	16
37	15
33	16
34	15
31	14
39	15
34	14
32	13
33	7
36	17
32	13
41	15
28	14
30	13
36	16
35	12
31	14
34	17
36	15
36	17
35	12
37	16
28	11
39	15
32	9
35	16
39	15
35	10
42	10
34	15
33	11
41	13
33	14
34	18
32	16
40	14
40	14
35	14
36	14
37	12
27	14
39	15
38	15
31	15
33	13
32	17
39	17
36	19
33	15
33	13
32	9
37	15
30	15
38	15
29	16
22	11
35	14
35	11
34	15
35	13
34	15
34	16
35	14
23	15
31	16
27	16
36	11
31	12
32	9
39	16
37	13
38	16
39	12
34	9
31	13
32	13
37	14
36	19
32	13
35	12
36	13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=143821&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=143821&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143821&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 time4 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Tabulation of Results
Separate x Happiness
78910111213141516171819
220000100000000
230000000010000
270000012101000
280100110101000
290000000001010
300000011210000
310010112331300
320040016123210
331000323233010
340010011162111
350002531412000
360000111321202
370001011242110
380000010335200
390000020061100
400000000210000
410000001020000
420001000000000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
Separate  x  Happiness


 \tabularnewline
  & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 \tabularnewline
22 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
23 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
27 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 1 & 0 & 1 & 0 & 0 & 0 \tabularnewline
28 & 0 & 1 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 1 & 0 & 0 & 0 \tabularnewline
29 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 \tabularnewline
30 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 1 & 0 & 0 & 0 & 0 \tabularnewline
31 & 0 & 0 & 1 & 0 & 1 & 1 & 2 & 3 & 3 & 1 & 3 & 0 & 0 \tabularnewline
32 & 0 & 0 & 4 & 0 & 0 & 1 & 6 & 1 & 2 & 3 & 2 & 1 & 0 \tabularnewline
33 & 1 & 0 & 0 & 0 & 3 & 2 & 3 & 2 & 3 & 3 & 0 & 1 & 0 \tabularnewline
34 & 0 & 0 & 1 & 0 & 0 & 1 & 1 & 1 & 6 & 2 & 1 & 1 & 1 \tabularnewline
35 & 0 & 0 & 0 & 2 & 5 & 3 & 1 & 4 & 1 & 2 & 0 & 0 & 0 \tabularnewline
36 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 3 & 2 & 1 & 2 & 0 & 2 \tabularnewline
37 & 0 & 0 & 0 & 1 & 0 & 1 & 1 & 2 & 4 & 2 & 1 & 1 & 0 \tabularnewline
38 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 3 & 3 & 5 & 2 & 0 & 0 \tabularnewline
39 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 6 & 1 & 1 & 0 & 0 \tabularnewline
40 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 0 & 0 & 0 & 0 \tabularnewline
41 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 2 & 0 & 0 & 0 & 0 \tabularnewline
42 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143821&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]Separate  x  Happiness


[/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][/ROW]
[C]22[/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]
[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]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]1[/C][C]2[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]28[/C][C]0[/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][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]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/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]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]1[/C][C]2[/C][C]3[/C][C]3[/C][C]1[/C][C]3[/C][C]0[/C][C]0[/C][/ROW]
[C]32[/C][C]0[/C][C]0[/C][C]4[/C][C]0[/C][C]0[/C][C]1[/C][C]6[/C][C]1[/C][C]2[/C][C]3[/C][C]2[/C][C]1[/C][C]0[/C][/ROW]
[C]33[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]2[/C][C]3[/C][C]2[/C][C]3[/C][C]3[/C][C]0[/C][C]1[/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]1[/C][C]1[/C][C]6[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[C]35[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]5[/C][C]3[/C][C]1[/C][C]4[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]36[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]3[/C][C]2[/C][C]1[/C][C]2[/C][C]0[/C][C]2[/C][/ROW]
[C]37[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]4[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]38[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]3[/C][C]3[/C][C]5[/C][C]2[/C][C]0[/C][C]0[/C][/ROW]
[C]39[/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]6[/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]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]41[/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]2[/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]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][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143821&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143821&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
Separate x Happiness
78910111213141516171819
220000100000000
230000000010000
270000012101000
280100110101000
290000000001010
300000011210000
310010112331300
320040016123210
331000323233010
340010011162111
350002531412000
360000111321202
370001011242110
380000010335200
390000020061100
400000000210000
410000001020000
420001000000000







Tabulation of Expected Results
Separate x Happiness
78910111213141516171819
220.010.010.040.020.070.10.120.150.220.140.070.030.02
230.010.010.040.020.070.10.120.150.220.140.070.030.02
270.030.030.190.120.370.490.590.771.080.710.370.150.09
280.030.030.190.120.370.490.590.771.080.710.370.150.09
290.010.010.070.050.150.20.230.310.430.280.150.060.04
300.030.030.190.120.370.490.590.771.080.710.370.150.09
310.090.090.560.371.111.481.762.313.242.131.110.460.28
320.120.120.740.491.481.982.353.094.322.841.480.620.37
330.110.110.670.441.331.782.112.783.892.561.330.560.33
340.090.090.560.371.111.481.762.313.242.131.110.460.28
350.110.110.670.441.331.782.112.783.892.561.330.560.33
360.080.080.480.320.961.281.522.012.811.850.960.40.24
370.080.080.480.320.961.281.522.012.811.850.960.40.24
380.090.090.520.351.041.381.642.163.021.991.040.430.26
390.060.060.370.250.740.991.171.542.161.420.740.310.19
400.020.020.110.070.220.30.350.460.650.430.220.090.06
410.020.020.110.070.220.30.350.460.650.430.220.090.06
420.010.010.040.020.070.10.120.150.220.140.070.030.02

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
Separate  x  Happiness


 \tabularnewline
  & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 \tabularnewline
22 & 0.01 & 0.01 & 0.04 & 0.02 & 0.07 & 0.1 & 0.12 & 0.15 & 0.22 & 0.14 & 0.07 & 0.03 & 0.02 \tabularnewline
23 & 0.01 & 0.01 & 0.04 & 0.02 & 0.07 & 0.1 & 0.12 & 0.15 & 0.22 & 0.14 & 0.07 & 0.03 & 0.02 \tabularnewline
27 & 0.03 & 0.03 & 0.19 & 0.12 & 0.37 & 0.49 & 0.59 & 0.77 & 1.08 & 0.71 & 0.37 & 0.15 & 0.09 \tabularnewline
28 & 0.03 & 0.03 & 0.19 & 0.12 & 0.37 & 0.49 & 0.59 & 0.77 & 1.08 & 0.71 & 0.37 & 0.15 & 0.09 \tabularnewline
29 & 0.01 & 0.01 & 0.07 & 0.05 & 0.15 & 0.2 & 0.23 & 0.31 & 0.43 & 0.28 & 0.15 & 0.06 & 0.04 \tabularnewline
30 & 0.03 & 0.03 & 0.19 & 0.12 & 0.37 & 0.49 & 0.59 & 0.77 & 1.08 & 0.71 & 0.37 & 0.15 & 0.09 \tabularnewline
31 & 0.09 & 0.09 & 0.56 & 0.37 & 1.11 & 1.48 & 1.76 & 2.31 & 3.24 & 2.13 & 1.11 & 0.46 & 0.28 \tabularnewline
32 & 0.12 & 0.12 & 0.74 & 0.49 & 1.48 & 1.98 & 2.35 & 3.09 & 4.32 & 2.84 & 1.48 & 0.62 & 0.37 \tabularnewline
33 & 0.11 & 0.11 & 0.67 & 0.44 & 1.33 & 1.78 & 2.11 & 2.78 & 3.89 & 2.56 & 1.33 & 0.56 & 0.33 \tabularnewline
34 & 0.09 & 0.09 & 0.56 & 0.37 & 1.11 & 1.48 & 1.76 & 2.31 & 3.24 & 2.13 & 1.11 & 0.46 & 0.28 \tabularnewline
35 & 0.11 & 0.11 & 0.67 & 0.44 & 1.33 & 1.78 & 2.11 & 2.78 & 3.89 & 2.56 & 1.33 & 0.56 & 0.33 \tabularnewline
36 & 0.08 & 0.08 & 0.48 & 0.32 & 0.96 & 1.28 & 1.52 & 2.01 & 2.81 & 1.85 & 0.96 & 0.4 & 0.24 \tabularnewline
37 & 0.08 & 0.08 & 0.48 & 0.32 & 0.96 & 1.28 & 1.52 & 2.01 & 2.81 & 1.85 & 0.96 & 0.4 & 0.24 \tabularnewline
38 & 0.09 & 0.09 & 0.52 & 0.35 & 1.04 & 1.38 & 1.64 & 2.16 & 3.02 & 1.99 & 1.04 & 0.43 & 0.26 \tabularnewline
39 & 0.06 & 0.06 & 0.37 & 0.25 & 0.74 & 0.99 & 1.17 & 1.54 & 2.16 & 1.42 & 0.74 & 0.31 & 0.19 \tabularnewline
40 & 0.02 & 0.02 & 0.11 & 0.07 & 0.22 & 0.3 & 0.35 & 0.46 & 0.65 & 0.43 & 0.22 & 0.09 & 0.06 \tabularnewline
41 & 0.02 & 0.02 & 0.11 & 0.07 & 0.22 & 0.3 & 0.35 & 0.46 & 0.65 & 0.43 & 0.22 & 0.09 & 0.06 \tabularnewline
42 & 0.01 & 0.01 & 0.04 & 0.02 & 0.07 & 0.1 & 0.12 & 0.15 & 0.22 & 0.14 & 0.07 & 0.03 & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143821&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]Separate  x  Happiness


[/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][/ROW]
[C]22[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.1[/C][C]0.12[/C][C]0.15[/C][C]0.22[/C][C]0.14[/C][C]0.07[/C][C]0.03[/C][C]0.02[/C][/ROW]
[C]23[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.1[/C][C]0.12[/C][C]0.15[/C][C]0.22[/C][C]0.14[/C][C]0.07[/C][C]0.03[/C][C]0.02[/C][/ROW]
[C]27[/C][C]0.03[/C][C]0.03[/C][C]0.19[/C][C]0.12[/C][C]0.37[/C][C]0.49[/C][C]0.59[/C][C]0.77[/C][C]1.08[/C][C]0.71[/C][C]0.37[/C][C]0.15[/C][C]0.09[/C][/ROW]
[C]28[/C][C]0.03[/C][C]0.03[/C][C]0.19[/C][C]0.12[/C][C]0.37[/C][C]0.49[/C][C]0.59[/C][C]0.77[/C][C]1.08[/C][C]0.71[/C][C]0.37[/C][C]0.15[/C][C]0.09[/C][/ROW]
[C]29[/C][C]0.01[/C][C]0.01[/C][C]0.07[/C][C]0.05[/C][C]0.15[/C][C]0.2[/C][C]0.23[/C][C]0.31[/C][C]0.43[/C][C]0.28[/C][C]0.15[/C][C]0.06[/C][C]0.04[/C][/ROW]
[C]30[/C][C]0.03[/C][C]0.03[/C][C]0.19[/C][C]0.12[/C][C]0.37[/C][C]0.49[/C][C]0.59[/C][C]0.77[/C][C]1.08[/C][C]0.71[/C][C]0.37[/C][C]0.15[/C][C]0.09[/C][/ROW]
[C]31[/C][C]0.09[/C][C]0.09[/C][C]0.56[/C][C]0.37[/C][C]1.11[/C][C]1.48[/C][C]1.76[/C][C]2.31[/C][C]3.24[/C][C]2.13[/C][C]1.11[/C][C]0.46[/C][C]0.28[/C][/ROW]
[C]32[/C][C]0.12[/C][C]0.12[/C][C]0.74[/C][C]0.49[/C][C]1.48[/C][C]1.98[/C][C]2.35[/C][C]3.09[/C][C]4.32[/C][C]2.84[/C][C]1.48[/C][C]0.62[/C][C]0.37[/C][/ROW]
[C]33[/C][C]0.11[/C][C]0.11[/C][C]0.67[/C][C]0.44[/C][C]1.33[/C][C]1.78[/C][C]2.11[/C][C]2.78[/C][C]3.89[/C][C]2.56[/C][C]1.33[/C][C]0.56[/C][C]0.33[/C][/ROW]
[C]34[/C][C]0.09[/C][C]0.09[/C][C]0.56[/C][C]0.37[/C][C]1.11[/C][C]1.48[/C][C]1.76[/C][C]2.31[/C][C]3.24[/C][C]2.13[/C][C]1.11[/C][C]0.46[/C][C]0.28[/C][/ROW]
[C]35[/C][C]0.11[/C][C]0.11[/C][C]0.67[/C][C]0.44[/C][C]1.33[/C][C]1.78[/C][C]2.11[/C][C]2.78[/C][C]3.89[/C][C]2.56[/C][C]1.33[/C][C]0.56[/C][C]0.33[/C][/ROW]
[C]36[/C][C]0.08[/C][C]0.08[/C][C]0.48[/C][C]0.32[/C][C]0.96[/C][C]1.28[/C][C]1.52[/C][C]2.01[/C][C]2.81[/C][C]1.85[/C][C]0.96[/C][C]0.4[/C][C]0.24[/C][/ROW]
[C]37[/C][C]0.08[/C][C]0.08[/C][C]0.48[/C][C]0.32[/C][C]0.96[/C][C]1.28[/C][C]1.52[/C][C]2.01[/C][C]2.81[/C][C]1.85[/C][C]0.96[/C][C]0.4[/C][C]0.24[/C][/ROW]
[C]38[/C][C]0.09[/C][C]0.09[/C][C]0.52[/C][C]0.35[/C][C]1.04[/C][C]1.38[/C][C]1.64[/C][C]2.16[/C][C]3.02[/C][C]1.99[/C][C]1.04[/C][C]0.43[/C][C]0.26[/C][/ROW]
[C]39[/C][C]0.06[/C][C]0.06[/C][C]0.37[/C][C]0.25[/C][C]0.74[/C][C]0.99[/C][C]1.17[/C][C]1.54[/C][C]2.16[/C][C]1.42[/C][C]0.74[/C][C]0.31[/C][C]0.19[/C][/ROW]
[C]40[/C][C]0.02[/C][C]0.02[/C][C]0.11[/C][C]0.07[/C][C]0.22[/C][C]0.3[/C][C]0.35[/C][C]0.46[/C][C]0.65[/C][C]0.43[/C][C]0.22[/C][C]0.09[/C][C]0.06[/C][/ROW]
[C]41[/C][C]0.02[/C][C]0.02[/C][C]0.11[/C][C]0.07[/C][C]0.22[/C][C]0.3[/C][C]0.35[/C][C]0.46[/C][C]0.65[/C][C]0.43[/C][C]0.22[/C][C]0.09[/C][C]0.06[/C][/ROW]
[C]42[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.02[/C][C]0.07[/C][C]0.1[/C][C]0.12[/C][C]0.15[/C][C]0.22[/C][C]0.14[/C][C]0.07[/C][C]0.03[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143821&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143821&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
Separate x Happiness
78910111213141516171819
220.010.010.040.020.070.10.120.150.220.140.070.030.02
230.010.010.040.020.070.10.120.150.220.140.070.030.02
270.030.030.190.120.370.490.590.771.080.710.370.150.09
280.030.030.190.120.370.490.590.771.080.710.370.150.09
290.010.010.070.050.150.20.230.310.430.280.150.060.04
300.030.030.190.120.370.490.590.771.080.710.370.150.09
310.090.090.560.371.111.481.762.313.242.131.110.460.28
320.120.120.740.491.481.982.353.094.322.841.480.620.37
330.110.110.670.441.331.782.112.783.892.561.330.560.33
340.090.090.560.371.111.481.762.313.242.131.110.460.28
350.110.110.670.441.331.782.112.783.892.561.330.560.33
360.080.080.480.320.961.281.522.012.811.850.960.40.24
370.080.080.480.320.961.281.522.012.811.850.960.40.24
380.090.090.520.351.041.381.642.163.021.991.040.430.26
390.060.060.370.250.740.991.171.542.161.420.740.310.19
400.020.020.110.070.220.30.350.460.650.430.220.090.06
410.020.020.110.070.220.30.350.460.650.430.220.090.06
420.010.010.040.020.070.10.120.150.220.140.070.030.02







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic253.87
Degrees of Freedom204
P value0.01

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 253.87 \tabularnewline
Degrees of Freedom & 204 \tabularnewline
P value & 0.01 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143821&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]253.87[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]204[/C][/ROW]
[ROW][C]P value[/C][C]0.01[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143821&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143821&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 Statistic253.87
Degrees of Freedom204
P value0.01



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')