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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 09:38:21 -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/t132145432190dqt3wshu4gobk.htm/, Retrieved Thu, 28 Mar 2024 21:48:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143983, Retrieved Thu, 28 Mar 2024 21:48:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Mean Plot] [Colombia Coffee] [2008-01-07 13:38:24] [74be16979710d4c4e7c6647856088456]
- RMPD    [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [fsdfds] [2011-11-16 13:22:30] [892ed3eb253b46f111519e43d73f68a8]
-    D      [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [WS6_chi_test] [2011-11-16 14:08:15] [2adcc8dcd741502b8a9375c7fd3d7ce3]
-    D          [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [sfsdf] [2011-11-16 14:38:21] [6a186250438a2f65df3b841b0f0f477a] [Current]
- R               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [sddsf] [2011-11-16 14:40:05] [892ed3eb253b46f111519e43d73f68a8]
- R               [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [khlm] [2011-11-16 14:43:10] [892ed3eb253b46f111519e43d73f68a8]
-                   [Chi-Squared Test, McNemar Test, and Fisher Exact Test] [vxcvcxv] [2011-11-16 14:44:19] [892ed3eb253b46f111519e43d73f68a8]
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Dataseries X:
41	38	14	12
39	32	18	11
30	35	11	14
31	33	12	12
34	37	16	21
35	29	18	12
39	31	14	22
34	36	14	11
36	35	15	10
37	38	15	13
38	31	17	10
36	34	19	8
38	35	10	15
39	38	16	14
33	37	18	10
32	33	14	14
36	32	14	14
38	38	17	11
39	38	14	10
32	32	16	13
32	33	18	7
31	31	11	14
39	38	14	12
37	39	12	14
39	32	17	11
41	32	9	9
36	35	16	11
33	37	14	15
33	33	15	14
34	33	11	13
31	28	16	9
27	32	13	15
37	31	17	10
34	37	15	11
34	30	14	13
32	33	16	8
29	31	9	20
36	33	15	12
29	31	17	10
35	33	13	10
37	32	15	9
34	33	16	14
38	32	16	8
35	33	12	14
38	28	12	11
37	35	11	13
38	39	15	9
33	34	15	11
36	38	17	15
38	32	13	11
32	38	16	10
32	30	14	14
32	33	11	18
34	38	12	14
32	32	12	11
37	32	15	12
39	34	16	13
29	34	15	9
37	36	12	10
35	34	12	15
30	28	8	20
38	34	13	12
34	35	11	12
31	35	14	14
34	31	15	13
35	37	10	11
36	35	11	17
30	27	12	12
39	40	15	13
35	37	15	14
38	36	14	13
31	38	16	15
34	39	15	13
38	41	15	10
34	27	13	11
39	30	12	19
37	37	17	13
34	31	13	17
28	31	15	13
37	27	13	9
33	36	15	11
37	38	16	10
35	37	15	9
37	33	16	12
32	34	15	12
33	31	14	13
38	39	15	13
33	34	14	12
29	32	13	15
33	33	7	22
31	36	17	13
36	32	13	15
35	41	15	13
32	28	14	15
29	30	13	10
39	36	16	11
37	35	12	16
35	31	14	11
37	34	17	11
32	36	15	10
38	36	17	10
37	35	12	16
36	37	16	12
32	28	11	11
33	39	15	16
40	32	9	19
38	35	16	11
41	39	15	16
36	35	10	15
43	42	10	24
30	34	15	14
31	33	11	15
32	41	13	11
32	33	14	15
37	34	18	12
37	32	16	10
33	40	14	14
34	40	14	13
33	35	14	9
38	36	14	15
33	37	12	15
31	27	14	14
38	39	15	11
37	38	15	8
33	31	15	11
31	33	13	11
39	32	17	8
44	39	17	10
33	36	19	11
35	33	15	13
32	33	13	11
28	32	9	20
40	37	15	10
27	30	15	15
37	38	15	12
32	29	16	14
28	22	11	23
34	35	14	14
30	35	11	16
35	34	15	11
31	35	13	12
32	34	15	10
30	34	16	14
30	35	14	12
31	23	15	12
40	31	16	11
32	27	16	12
36	36	11	13
32	31	12	11
35	32	9	19
38	39	16	12
42	37	13	17
34	38	16	9
35	39	12	12
35	34	9	19
33	31	13	18
36	32	13	15
32	37	14	14
33	36	19	11
34	32	13	9
32	35	12	18
34	36	13	16




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143983&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143983&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'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
connected x happiness
78910111213141516171819
270000001010000
280010100010000
290010002010100
300100210111000
310000212212100
320000232535010
331000011550012
340000214433000
350021031150010
360001202122101
370000141053310
380001012243300
390000010313210
400010000011000
410010000110000
420000001000000
430001000000000
440000000000100

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
connected  x  happiness \tabularnewline
  & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 \tabularnewline
27 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
28 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
29 & 0 & 0 & 1 & 0 & 0 & 0 & 2 & 0 & 1 & 0 & 1 & 0 & 0 \tabularnewline
30 & 0 & 1 & 0 & 0 & 2 & 1 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline
31 & 0 & 0 & 0 & 0 & 2 & 1 & 2 & 2 & 1 & 2 & 1 & 0 & 0 \tabularnewline
32 & 0 & 0 & 0 & 0 & 2 & 3 & 2 & 5 & 3 & 5 & 0 & 1 & 0 \tabularnewline
33 & 1 & 0 & 0 & 0 & 0 & 1 & 1 & 5 & 5 & 0 & 0 & 1 & 2 \tabularnewline
34 & 0 & 0 & 0 & 0 & 2 & 1 & 4 & 4 & 3 & 3 & 0 & 0 & 0 \tabularnewline
35 & 0 & 0 & 2 & 1 & 0 & 3 & 1 & 1 & 5 & 0 & 0 & 1 & 0 \tabularnewline
36 & 0 & 0 & 0 & 1 & 2 & 0 & 2 & 1 & 2 & 2 & 1 & 0 & 1 \tabularnewline
37 & 0 & 0 & 0 & 0 & 1 & 4 & 1 & 0 & 5 & 3 & 3 & 1 & 0 \tabularnewline
38 & 0 & 0 & 0 & 1 & 0 & 1 & 2 & 2 & 4 & 3 & 3 & 0 & 0 \tabularnewline
39 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 3 & 1 & 3 & 2 & 1 & 0 \tabularnewline
40 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 \tabularnewline
41 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 \tabularnewline
42 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
43 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
44 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143983&T=1

[TABLE]
[ROW][C]Tabulation of Results[/C][/ROW]
[ROW][C]connected  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]27[/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][/ROW]
[C]28[/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]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]1[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]30[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/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]0[/C][C]2[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]32[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]3[/C][C]2[/C][C]5[/C][C]3[/C][C]5[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]33[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]5[/C][C]5[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][/ROW]
[C]34[/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]3[/C][C]3[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]35[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]3[/C][C]1[/C][C]1[/C][C]5[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]36[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]2[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/C][C]0[/C][C]1[/C][/ROW]
[C]37[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]4[/C][C]1[/C][C]0[/C][C]5[/C][C]3[/C][C]3[/C][C]1[/C][C]0[/C][/ROW]
[C]38[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]2[/C][C]4[/C][C]3[/C][C]3[/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]1[/C][C]0[/C][C]3[/C][C]1[/C][C]3[/C][C]2[/C][C]1[/C][C]0[/C][/ROW]
[C]40[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]41[/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]1[/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]1[/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]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]
[C]44[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143983&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 happiness
78910111213141516171819
270000001010000
280010100010000
290010002010100
300100210111000
310000212212100
320000232535010
331000011550012
340000214433000
350021031150010
360001202122101
370000141053310
380001012243300
390000010313210
400010000011000
410010000110000
420000001000000
430001000000000
440000000000100







Tabulation of Expected Results
connected x happiness
78910111213141516171819
270.010.010.070.050.150.20.230.310.430.280.150.060.04
280.020.020.110.070.220.30.350.460.650.430.220.090.06
290.030.030.190.120.370.490.590.771.080.710.370.150.09
300.040.040.260.170.520.690.821.081.510.990.520.220.13
310.070.070.410.270.811.091.291.72.381.560.810.340.2
320.130.130.780.521.562.072.463.244.542.981.560.650.39
330.10.10.590.41.191.581.882.473.462.271.190.490.3
340.10.10.630.421.261.681.992.623.672.411.260.520.31
350.090.090.520.351.041.381.642.163.021.991.040.430.26
360.070.070.440.30.891.191.411.852.591.70.890.370.22
370.110.110.670.441.331.782.112.783.892.561.330.560.33
380.10.10.590.41.191.581.882.473.462.271.190.490.3
390.070.070.410.270.811.091.291.72.381.560.810.340.2
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
430.010.010.040.020.070.10.120.150.220.140.070.030.02
440.010.010.040.020.070.10.120.150.220.140.070.030.02

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
connected  x  happiness \tabularnewline
  & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 \tabularnewline
27 & 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
28 & 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
29 & 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
30 & 0.04 & 0.04 & 0.26 & 0.17 & 0.52 & 0.69 & 0.82 & 1.08 & 1.51 & 0.99 & 0.52 & 0.22 & 0.13 \tabularnewline
31 & 0.07 & 0.07 & 0.41 & 0.27 & 0.81 & 1.09 & 1.29 & 1.7 & 2.38 & 1.56 & 0.81 & 0.34 & 0.2 \tabularnewline
32 & 0.13 & 0.13 & 0.78 & 0.52 & 1.56 & 2.07 & 2.46 & 3.24 & 4.54 & 2.98 & 1.56 & 0.65 & 0.39 \tabularnewline
33 & 0.1 & 0.1 & 0.59 & 0.4 & 1.19 & 1.58 & 1.88 & 2.47 & 3.46 & 2.27 & 1.19 & 0.49 & 0.3 \tabularnewline
34 & 0.1 & 0.1 & 0.63 & 0.42 & 1.26 & 1.68 & 1.99 & 2.62 & 3.67 & 2.41 & 1.26 & 0.52 & 0.31 \tabularnewline
35 & 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
36 & 0.07 & 0.07 & 0.44 & 0.3 & 0.89 & 1.19 & 1.41 & 1.85 & 2.59 & 1.7 & 0.89 & 0.37 & 0.22 \tabularnewline
37 & 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
38 & 0.1 & 0.1 & 0.59 & 0.4 & 1.19 & 1.58 & 1.88 & 2.47 & 3.46 & 2.27 & 1.19 & 0.49 & 0.3 \tabularnewline
39 & 0.07 & 0.07 & 0.41 & 0.27 & 0.81 & 1.09 & 1.29 & 1.7 & 2.38 & 1.56 & 0.81 & 0.34 & 0.2 \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
43 & 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
44 & 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=143983&T=2

[TABLE]
[ROW][C]Tabulation of Expected Results[/C][/ROW]
[ROW][C]connected  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]27[/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]28[/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]29[/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]30[/C][C]0.04[/C][C]0.04[/C][C]0.26[/C][C]0.17[/C][C]0.52[/C][C]0.69[/C][C]0.82[/C][C]1.08[/C][C]1.51[/C][C]0.99[/C][C]0.52[/C][C]0.22[/C][C]0.13[/C][/ROW]
[C]31[/C][C]0.07[/C][C]0.07[/C][C]0.41[/C][C]0.27[/C][C]0.81[/C][C]1.09[/C][C]1.29[/C][C]1.7[/C][C]2.38[/C][C]1.56[/C][C]0.81[/C][C]0.34[/C][C]0.2[/C][/ROW]
[C]32[/C][C]0.13[/C][C]0.13[/C][C]0.78[/C][C]0.52[/C][C]1.56[/C][C]2.07[/C][C]2.46[/C][C]3.24[/C][C]4.54[/C][C]2.98[/C][C]1.56[/C][C]0.65[/C][C]0.39[/C][/ROW]
[C]33[/C][C]0.1[/C][C]0.1[/C][C]0.59[/C][C]0.4[/C][C]1.19[/C][C]1.58[/C][C]1.88[/C][C]2.47[/C][C]3.46[/C][C]2.27[/C][C]1.19[/C][C]0.49[/C][C]0.3[/C][/ROW]
[C]34[/C][C]0.1[/C][C]0.1[/C][C]0.63[/C][C]0.42[/C][C]1.26[/C][C]1.68[/C][C]1.99[/C][C]2.62[/C][C]3.67[/C][C]2.41[/C][C]1.26[/C][C]0.52[/C][C]0.31[/C][/ROW]
[C]35[/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]36[/C][C]0.07[/C][C]0.07[/C][C]0.44[/C][C]0.3[/C][C]0.89[/C][C]1.19[/C][C]1.41[/C][C]1.85[/C][C]2.59[/C][C]1.7[/C][C]0.89[/C][C]0.37[/C][C]0.22[/C][/ROW]
[C]37[/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]38[/C][C]0.1[/C][C]0.1[/C][C]0.59[/C][C]0.4[/C][C]1.19[/C][C]1.58[/C][C]1.88[/C][C]2.47[/C][C]3.46[/C][C]2.27[/C][C]1.19[/C][C]0.49[/C][C]0.3[/C][/ROW]
[C]39[/C][C]0.07[/C][C]0.07[/C][C]0.41[/C][C]0.27[/C][C]0.81[/C][C]1.09[/C][C]1.29[/C][C]1.7[/C][C]2.38[/C][C]1.56[/C][C]0.81[/C][C]0.34[/C][C]0.2[/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]
[C]43[/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]44[/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=143983&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143983&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 happiness
78910111213141516171819
270.010.010.070.050.150.20.230.310.430.280.150.060.04
280.020.020.110.070.220.30.350.460.650.430.220.090.06
290.030.030.190.120.370.490.590.771.080.710.370.150.09
300.040.040.260.170.520.690.821.081.510.990.520.220.13
310.070.070.410.270.811.091.291.72.381.560.810.340.2
320.130.130.780.521.562.072.463.244.542.981.560.650.39
330.10.10.590.41.191.581.882.473.462.271.190.490.3
340.10.10.630.421.261.681.992.623.672.411.260.520.31
350.090.090.520.351.041.381.642.163.021.991.040.430.26
360.070.070.440.30.891.191.411.852.591.70.890.370.22
370.110.110.670.441.331.782.112.783.892.561.330.560.33
380.10.10.590.41.191.581.882.473.462.271.190.490.3
390.070.070.410.270.811.091.291.72.381.560.810.340.2
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
430.010.010.040.020.070.10.120.150.220.140.070.030.02
440.010.010.040.020.070.10.120.150.220.140.070.030.02







Statistical Results
Pearson's Chi-squared test with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic232.01
P value0.17

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates) \tabularnewline
Exact Pearson Chi Square Statistic & 232.01 \tabularnewline
P value & 0.17 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143983&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test with simulated p-value
	 (based on 2000 replicates)[/C][/ROW]
[ROW][C]Exact Pearson Chi Square Statistic[/C][C]232.01[/C][/ROW]
[ROW][C]P value[/C][C]0.17[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143983&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143983&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 with simulated p-value (based on 2000 replicates)
Exact Pearson Chi Square Statistic232.01
P value0.17



Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 3 ; par3 = Exact Pearson Chi-Squared by Simulation ;
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')