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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 computationSun, 13 Nov 2011 12:55:12 -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/13/t1321206947qsc2as3que6ja53.htm/, Retrieved Fri, 26 Apr 2024 08:35:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141825, Retrieved Fri, 26 Apr 2024 08:35:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

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] [WS6 Q1 1] [2011-11-13 17:55:12] [7a9891c1925ad1e8ddfe52b8c5887b5b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14	41	38
18	39	32
11	30	35
12	31	33
16	34	37
18	35	29
14	39	31
14	34	36
15	36	35
15	37	38
17	38	31
19	36	34
10	38	35
16	39	38
18	33	37
14	32	33
14	36	32
17	38	38
14	39	38
16	32	32
18	32	33
11	31	31
14	39	38
12	37	39
17	39	32
9	41	32
16	36	35
14	33	37
15	33	33
11	34	33
16	31	28
13	27	32
17	37	31
15	34	37
14	34	30
16	32	33
9	29	31
15	36	33
17	29	31
13	35	33
15	37	32
16	34	33
16	38	32
12	35	33
12	38	28
11	37	35
15	38	39
15	33	34
17	36	38
13	38	32
16	32	38
14	32	30
11	32	33
12	34	38
12	32	32
15	37	32
16	39	34
15	29	34
12	37	36
12	35	34
8	30	28
13	38	34
11	34	35
14	31	35
15	34	31
10	35	37
11	36	35
12	30	27
15	39	40
15	35	37
14	38	36
16	31	38
15	34	39
15	38	41
13	34	27
12	39	30
17	37	37
13	34	31
15	28	31
13	37	27
15	33	36
16	37	38
15	35	37
16	37	33
15	32	34
14	33	31
15	38	39
14	33	34
13	29	32
7	33	33
17	31	36
13	36	32
15	35	41
14	32	28
13	29	30
16	39	36
12	37	35
14	35	31
17	37	34
15	32	36
17	38	36
12	37	35
16	36	37
11	32	28
15	33	39
9	40	32
16	38	35
15	41	39
10	36	35
10	43	42
15	30	34
11	31	33
13	32	41
14	32	33
18	37	34
16	37	32
14	33	40
14	34	40
14	33	35
14	38	36
12	33	37
14	31	27
15	38	39
15	37	38
15	33	31
13	31	33
17	39	32
17	44	39
19	33	36
15	35	33
13	32	33
9	28	32
15	40	37
15	27	30
15	37	38
16	32	29
11	28	22
14	34	35
11	30	35
15	35	34
13	31	35
15	32	34
16	30	34
14	30	35
15	31	23
16	40	31
16	32	27
11	36	36
12	32	31
9	35	32
16	38	39
13	42	37
16	34	38
12	35	39
9	35	34
13	33	31
13	36	32
14	32	37
19	33	36
13	34	32
12	32	35
13	34	36

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141825&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141825&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141825&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'Gertrude Mary Cox' @ cox.wessa.net






Tabulation of Results
Happ x Conn
272829303132333435363738394041424344
7000000100000000000
8000100000000000000
9011000002000011000
10000000001101000010
11010222020210000000
12000113113041100000
13102022141212000100
14000125541102301000
15111113535254111000
16000125030233310000
17001010000133200001
18000001101010100000
19000000200100000000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Happ x Conn \tabularnewline & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 & 43 & 44 \tabularnewline 7 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 8 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 9 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 \tabularnewline 10 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline 11 & 0 & 1 & 0 & 2 & 2 & 2 & 0 & 2 & 0 & 2 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 12 & 0 & 0 & 0 & 1 & 1 & 3 & 1 & 1 & 3 & 0 & 4 & 1 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 13 & 1 & 0 & 2 & 0 & 2 & 2 & 1 & 4 & 1 & 2 & 1 & 2 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline 14 & 0 & 0 & 0 & 1 & 2 & 5 & 5 & 4 & 1 & 1 & 0 & 2 & 3 & 0 & 1 & 0 & 0 & 0 \tabularnewline 15 & 1 & 1 & 1 & 1 & 1 & 3 & 5 & 3 & 5 & 2 & 5 & 4 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline 16 & 0 & 0 & 0 & 1 & 2 & 5 & 0 & 3 & 0 & 2 & 3 & 3 & 3 & 1 & 0 & 0 & 0 & 0 \tabularnewline 17 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 3 & 3 & 2 & 0 & 0 & 0 & 0 & 1 \tabularnewline 18 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 19 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=141825&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Happ x Conn[/C][/ROW] [ROW][C] [/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]41[/C][C]42[/C][C]43[/C][C]44[/C][/ROW] [C]7[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]8[/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] [C]9[/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]2[/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]10[/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]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]11[/C][C]0[/C][C]1[/C][C]0[/C][C]2[/C][C]2[/C][C]2[/C][C]0[/C][C]2[/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][/ROW] [C]12[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]3[/C][C]0[/C][C]4[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]13[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]2[/C][C]2[/C][C]1[/C][C]4[/C][C]1[/C][C]2[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]14[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]5[/C][C]5[/C][C]4[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]3[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]15[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]3[/C][C]5[/C][C]3[/C][C]5[/C][C]2[/C][C]5[/C][C]4[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]16[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]5[/C][C]0[/C][C]3[/C][C]0[/C][C]2[/C][C]3[/C][C]3[/C][C]3[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]17[/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]1[/C][C]3[/C][C]3[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][/ROW] [C]18[/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]1[/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]19[/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]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=141825&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141825&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
Happ x Conn
272829303132333435363738394041424344
7000000100000000000
8000100000000000000
9011000002000011000
10000000001101000010
11010222020210000000
12000113113041100000
13102022141212000100
14000125541102301000
15111113535254111000
16000125030233310000
17001010000133200001
18000001101010100000
19000000200100000000






Tabulation of Expected Results
Happ x Conn
272829303132333435363738394041424344
70.010.020.030.040.070.130.10.10.090.070.110.10.070.020.020.010.010.01
80.010.020.030.040.070.130.10.10.090.070.110.10.070.020.020.010.010.01
90.070.110.190.260.410.780.590.630.520.440.670.590.410.110.110.040.040.04
100.050.070.120.170.270.520.40.420.350.30.440.40.270.070.070.020.020.02
110.150.220.370.520.811.561.191.261.040.891.331.190.810.220.220.070.070.07
120.20.30.490.691.092.071.581.681.381.191.781.581.090.30.30.10.10.1
130.230.350.590.821.292.461.881.991.641.412.111.881.290.350.350.120.120.12
140.310.460.771.081.73.242.472.622.161.852.782.471.70.460.460.150.150.15
150.430.651.081.512.384.543.463.673.022.593.893.462.380.650.650.220.220.22
160.280.430.710.991.562.982.272.411.991.72.562.271.560.430.430.140.140.14
170.150.220.370.520.811.561.191.261.040.891.331.190.810.220.220.070.070.07
180.060.090.150.220.340.650.490.520.430.370.560.490.340.090.090.030.030.03
190.040.060.090.130.20.390.30.310.260.220.330.30.20.060.060.020.020.02

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Happ x Conn \tabularnewline & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 & 43 & 44 \tabularnewline 7 & 0.01 & 0.02 & 0.03 & 0.04 & 0.07 & 0.13 & 0.1 & 0.1 & 0.09 & 0.07 & 0.11 & 0.1 & 0.07 & 0.02 & 0.02 & 0.01 & 0.01 & 0.01 \tabularnewline 8 & 0.01 & 0.02 & 0.03 & 0.04 & 0.07 & 0.13 & 0.1 & 0.1 & 0.09 & 0.07 & 0.11 & 0.1 & 0.07 & 0.02 & 0.02 & 0.01 & 0.01 & 0.01 \tabularnewline 9 & 0.07 & 0.11 & 0.19 & 0.26 & 0.41 & 0.78 & 0.59 & 0.63 & 0.52 & 0.44 & 0.67 & 0.59 & 0.41 & 0.11 & 0.11 & 0.04 & 0.04 & 0.04 \tabularnewline 10 & 0.05 & 0.07 & 0.12 & 0.17 & 0.27 & 0.52 & 0.4 & 0.42 & 0.35 & 0.3 & 0.44 & 0.4 & 0.27 & 0.07 & 0.07 & 0.02 & 0.02 & 0.02 \tabularnewline 11 & 0.15 & 0.22 & 0.37 & 0.52 & 0.81 & 1.56 & 1.19 & 1.26 & 1.04 & 0.89 & 1.33 & 1.19 & 0.81 & 0.22 & 0.22 & 0.07 & 0.07 & 0.07 \tabularnewline 12 & 0.2 & 0.3 & 0.49 & 0.69 & 1.09 & 2.07 & 1.58 & 1.68 & 1.38 & 1.19 & 1.78 & 1.58 & 1.09 & 0.3 & 0.3 & 0.1 & 0.1 & 0.1 \tabularnewline 13 & 0.23 & 0.35 & 0.59 & 0.82 & 1.29 & 2.46 & 1.88 & 1.99 & 1.64 & 1.41 & 2.11 & 1.88 & 1.29 & 0.35 & 0.35 & 0.12 & 0.12 & 0.12 \tabularnewline 14 & 0.31 & 0.46 & 0.77 & 1.08 & 1.7 & 3.24 & 2.47 & 2.62 & 2.16 & 1.85 & 2.78 & 2.47 & 1.7 & 0.46 & 0.46 & 0.15 & 0.15 & 0.15 \tabularnewline 15 & 0.43 & 0.65 & 1.08 & 1.51 & 2.38 & 4.54 & 3.46 & 3.67 & 3.02 & 2.59 & 3.89 & 3.46 & 2.38 & 0.65 & 0.65 & 0.22 & 0.22 & 0.22 \tabularnewline 16 & 0.28 & 0.43 & 0.71 & 0.99 & 1.56 & 2.98 & 2.27 & 2.41 & 1.99 & 1.7 & 2.56 & 2.27 & 1.56 & 0.43 & 0.43 & 0.14 & 0.14 & 0.14 \tabularnewline 17 & 0.15 & 0.22 & 0.37 & 0.52 & 0.81 & 1.56 & 1.19 & 1.26 & 1.04 & 0.89 & 1.33 & 1.19 & 0.81 & 0.22 & 0.22 & 0.07 & 0.07 & 0.07 \tabularnewline 18 & 0.06 & 0.09 & 0.15 & 0.22 & 0.34 & 0.65 & 0.49 & 0.52 & 0.43 & 0.37 & 0.56 & 0.49 & 0.34 & 0.09 & 0.09 & 0.03 & 0.03 & 0.03 \tabularnewline 19 & 0.04 & 0.06 & 0.09 & 0.13 & 0.2 & 0.39 & 0.3 & 0.31 & 0.26 & 0.22 & 0.33 & 0.3 & 0.2 & 0.06 & 0.06 & 0.02 & 0.02 & 0.02 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=141825&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Happ x Conn[/C][/ROW] [ROW][C] [/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][C]31[/C][C]32[/C][C]33[/C][C]34[/C][C]35[/C][C]36[/C][C]37[/C][C]38[/C][C]39[/C][C]40[/C][C]41[/C][C]42[/C][C]43[/C][C]44[/C][/ROW] [C]7[/C][C]0.01[/C][C]0.02[/C][C]0.03[/C][C]0.04[/C][C]0.07[/C][C]0.13[/C][C]0.1[/C][C]0.1[/C][C]0.09[/C][C]0.07[/C][C]0.11[/C][C]0.1[/C][C]0.07[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]8[/C][C]0.01[/C][C]0.02[/C][C]0.03[/C][C]0.04[/C][C]0.07[/C][C]0.13[/C][C]0.1[/C][C]0.1[/C][C]0.09[/C][C]0.07[/C][C]0.11[/C][C]0.1[/C][C]0.07[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]9[/C][C]0.07[/C][C]0.11[/C][C]0.19[/C][C]0.26[/C][C]0.41[/C][C]0.78[/C][C]0.59[/C][C]0.63[/C][C]0.52[/C][C]0.44[/C][C]0.67[/C][C]0.59[/C][C]0.41[/C][C]0.11[/C][C]0.11[/C][C]0.04[/C][C]0.04[/C][C]0.04[/C][/ROW] [C]10[/C][C]0.05[/C][C]0.07[/C][C]0.12[/C][C]0.17[/C][C]0.27[/C][C]0.52[/C][C]0.4[/C][C]0.42[/C][C]0.35[/C][C]0.3[/C][C]0.44[/C][C]0.4[/C][C]0.27[/C][C]0.07[/C][C]0.07[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]11[/C][C]0.15[/C][C]0.22[/C][C]0.37[/C][C]0.52[/C][C]0.81[/C][C]1.56[/C][C]1.19[/C][C]1.26[/C][C]1.04[/C][C]0.89[/C][C]1.33[/C][C]1.19[/C][C]0.81[/C][C]0.22[/C][C]0.22[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][/ROW] [C]12[/C][C]0.2[/C][C]0.3[/C][C]0.49[/C][C]0.69[/C][C]1.09[/C][C]2.07[/C][C]1.58[/C][C]1.68[/C][C]1.38[/C][C]1.19[/C][C]1.78[/C][C]1.58[/C][C]1.09[/C][C]0.3[/C][C]0.3[/C][C]0.1[/C][C]0.1[/C][C]0.1[/C][/ROW] [C]13[/C][C]0.23[/C][C]0.35[/C][C]0.59[/C][C]0.82[/C][C]1.29[/C][C]2.46[/C][C]1.88[/C][C]1.99[/C][C]1.64[/C][C]1.41[/C][C]2.11[/C][C]1.88[/C][C]1.29[/C][C]0.35[/C][C]0.35[/C][C]0.12[/C][C]0.12[/C][C]0.12[/C][/ROW] [C]14[/C][C]0.31[/C][C]0.46[/C][C]0.77[/C][C]1.08[/C][C]1.7[/C][C]3.24[/C][C]2.47[/C][C]2.62[/C][C]2.16[/C][C]1.85[/C][C]2.78[/C][C]2.47[/C][C]1.7[/C][C]0.46[/C][C]0.46[/C][C]0.15[/C][C]0.15[/C][C]0.15[/C][/ROW] [C]15[/C][C]0.43[/C][C]0.65[/C][C]1.08[/C][C]1.51[/C][C]2.38[/C][C]4.54[/C][C]3.46[/C][C]3.67[/C][C]3.02[/C][C]2.59[/C][C]3.89[/C][C]3.46[/C][C]2.38[/C][C]0.65[/C][C]0.65[/C][C]0.22[/C][C]0.22[/C][C]0.22[/C][/ROW] [C]16[/C][C]0.28[/C][C]0.43[/C][C]0.71[/C][C]0.99[/C][C]1.56[/C][C]2.98[/C][C]2.27[/C][C]2.41[/C][C]1.99[/C][C]1.7[/C][C]2.56[/C][C]2.27[/C][C]1.56[/C][C]0.43[/C][C]0.43[/C][C]0.14[/C][C]0.14[/C][C]0.14[/C][/ROW] [C]17[/C][C]0.15[/C][C]0.22[/C][C]0.37[/C][C]0.52[/C][C]0.81[/C][C]1.56[/C][C]1.19[/C][C]1.26[/C][C]1.04[/C][C]0.89[/C][C]1.33[/C][C]1.19[/C][C]0.81[/C][C]0.22[/C][C]0.22[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][/ROW] [C]18[/C][C]0.06[/C][C]0.09[/C][C]0.15[/C][C]0.22[/C][C]0.34[/C][C]0.65[/C][C]0.49[/C][C]0.52[/C][C]0.43[/C][C]0.37[/C][C]0.56[/C][C]0.49[/C][C]0.34[/C][C]0.09[/C][C]0.09[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][/ROW] [C]19[/C][C]0.04[/C][C]0.06[/C][C]0.09[/C][C]0.13[/C][C]0.2[/C][C]0.39[/C][C]0.3[/C][C]0.31[/C][C]0.26[/C][C]0.22[/C][C]0.33[/C][C]0.3[/C][C]0.2[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.02[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=141825&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141825&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
Happ x Conn
272829303132333435363738394041424344
70.010.020.030.040.070.130.10.10.090.070.110.10.070.020.020.010.010.01
80.010.020.030.040.070.130.10.10.090.070.110.10.070.020.020.010.010.01
90.070.110.190.260.410.780.590.630.520.440.670.590.410.110.110.040.040.04
100.050.070.120.170.270.520.40.420.350.30.440.40.270.070.070.020.020.02
110.150.220.370.520.811.561.191.261.040.891.331.190.810.220.220.070.070.07
120.20.30.490.691.092.071.581.681.381.191.781.581.090.30.30.10.10.1
130.230.350.590.821.292.461.881.991.641.412.111.881.290.350.350.120.120.12
140.310.460.771.081.73.242.472.622.161.852.782.471.70.460.460.150.150.15
150.430.651.081.512.384.543.463.673.022.593.893.462.380.650.650.220.220.22
160.280.430.710.991.562.982.272.411.991.72.562.271.560.430.430.140.140.14
170.150.220.370.520.811.561.191.261.040.891.331.190.810.220.220.070.070.07
180.060.090.150.220.340.650.490.520.430.370.560.490.340.090.090.030.030.03
190.040.060.090.130.20.390.30.310.260.220.330.30.20.060.060.020.020.02






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic232.01
Degrees of Freedom204
P value0.09

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 232.01 \tabularnewline
Degrees of Freedom & 204 \tabularnewline
P value & 0.09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141825&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]232.01[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]204[/C][/ROW]
[ROW][C]P value[/C][C]0.09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141825&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141825&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 Statistic232.01
Degrees of Freedom204
P value0.09


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')