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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 computationThu, 17 Nov 2011 09:39:57 -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/t1321540924b9lyylev727pzoa.htm/, Retrieved Sat, 20 Apr 2024 14:31:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=144764, Retrieved Sat, 20 Apr 2024 14:31:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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 - Chi-squared3] [2011-11-17 14:39:57] [746438a23403f20b2dde308bafe866ab] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12	38
11	32
14	35
12	33
21	37
12	29
22	31
11	36
10	35
13	38
10	31
8	34
15	35
14	38
10	37
14	33
14	32
11	38
10	38
13	32
7	33
14	31
12	38
14	39
11	32
9	32
11	35
15	37
14	33
13	33
9	28
15	32
10	31
11	37
13	30
8	33
20	31
12	33
10	31
10	33
9	32
14	33
8	32
14	33
11	28
13	35
9	39
11	34
15	38
11	32
10	38
14	30
18	33
14	38
11	32
12	32
13	34
9	34
10	36
15	34
20	28
12	34
12	35
14	35
13	31
11	37
17	35
12	27
13	40
14	37
13	36
15	38
13	39
10	41
11	27
19	30
13	37
17	31
13	31
9	27
11	36
10	38
9	37
12	33
12	34
13	31
13	39
12	34
15	32
22	33
13	36
15	32
13	41
15	28
10	30
11	36
16	35
11	31
11	34
10	36
10	36
16	35
12	37
11	28
16	39
19	32
11	35
16	39
15	35
24	42
14	34
15	33
11	41
15	33
12	34
10	32
14	40
13	40
9	35
15	36
15	37
14	27
11	39
8	38
11	31
11	33
8	32
10	39
11	36
13	33
11	33
20	32
10	37
15	30
12	38
14	29
23	22
14	35
16	35
11	34
12	35
10	34
14	34
12	35
12	23
11	31
12	27
13	36
11	31
19	32
12	39
17	37
9	38
12	39
19	34
18	31
15	32
14	37
11	36
9	32
18	35
16	36

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.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=144764&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]'Herman Ole Andreas Wold' @ wold.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=144764&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144764&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.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
Depression x Separate
222327282930313233343536373839404142
7000000001000000000
8000000021100010000
9001100030110111000
10000001311113231010
11001200442325211010
12012010013430132000
13000001312113112210
14001011114230221100
15000101042121220000
16000000000031002000
17000000100010100000
18000000101010000000
19000001020100000000
20000100110000000000
21000000000000100000
22000000101000000000
23100000000000000000
24000000000000000001

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Depression x Separate \tabularnewline & 22 & 23 & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 \tabularnewline 7 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 8 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 9 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 3 & 0 & 1 & 1 & 0 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline 10 & 0 & 0 & 0 & 0 & 0 & 1 & 3 & 1 & 1 & 1 & 1 & 3 & 2 & 3 & 1 & 0 & 1 & 0 \tabularnewline 11 & 0 & 0 & 1 & 2 & 0 & 0 & 4 & 4 & 2 & 3 & 2 & 5 & 2 & 1 & 1 & 0 & 1 & 0 \tabularnewline 12 & 0 & 1 & 2 & 0 & 1 & 0 & 0 & 1 & 3 & 4 & 3 & 0 & 1 & 3 & 2 & 0 & 0 & 0 \tabularnewline 13 & 0 & 0 & 0 & 0 & 0 & 1 & 3 & 1 & 2 & 1 & 1 & 3 & 1 & 1 & 2 & 2 & 1 & 0 \tabularnewline 14 & 0 & 0 & 1 & 0 & 1 & 1 & 1 & 1 & 4 & 2 & 3 & 0 & 2 & 2 & 1 & 1 & 0 & 0 \tabularnewline 15 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 4 & 2 & 1 & 2 & 1 & 2 & 2 & 0 & 0 & 0 & 0 \tabularnewline 16 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 1 & 0 & 0 & 2 & 0 & 0 & 0 \tabularnewline 17 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 18 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 19 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 2 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 20 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 21 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 22 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 23 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 24 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=144764&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Depression x Separate [/C][/ROW] [ROW][C] [/C][C]22[/C][C]23[/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][/ROW] [C]7[/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][C]0[/C][C]0[/C][/ROW] [C]8[/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]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]9[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]3[/C][C]0[/C][C]1[/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]10[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]3[/C][C]2[/C][C]3[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]11[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]4[/C][C]4[/C][C]2[/C][C]3[/C][C]2[/C][C]5[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]12[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]4[/C][C]3[/C][C]0[/C][C]1[/C][C]3[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]13[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]3[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][C]1[/C][C]0[/C][/ROW] [C]14[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]4[/C][C]2[/C][C]3[/C][C]0[/C][C]2[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]15[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]4[/C][C]2[/C][C]1[/C][C]2[/C][C]1[/C][C]2[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]16[/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]3[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]17[/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]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]18[/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]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]19[/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]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]20[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/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]0[/C][C]0[/C][C]0[/C][/ROW] [C]21[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/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]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]23[/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][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]24[/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] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=144764&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144764&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
Depression x Separate
222327282930313233343536373839404142
7000000001000000000
8000000021100010000
9001100030110111000
10000001311113231010
11001200442325211010
12012010013430132000
13000001312113112210
14001011114230221100
15000101042121220000
16000000000031002000
17000000100010100000
18000000101010000000
19000001020100000000
20000100110000000000
21000000000000100000
22000000101000000000
23100000000000000000
24000000000000000001






Tabulation of Expected Results
Depression x Separate
222327282930313233343536373839404142
70.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01
80.030.030.150.150.060.150.460.620.560.460.560.40.40.430.310.090.090.03
90.060.060.310.310.120.310.931.231.110.931.110.80.80.860.620.190.190.06
100.110.110.560.560.220.561.672.2221.6721.441.441.561.110.330.330.11
110.170.170.860.860.350.862.593.463.112.593.112.252.252.421.730.520.520.17
120.130.130.650.650.260.651.942.592.331.942.331.691.691.811.30.390.390.13
130.120.120.590.590.230.591.762.352.111.762.111.521.521.641.170.350.350.12
140.120.120.620.620.250.621.852.472.221.852.221.61.61.731.230.370.370.12
150.10.10.490.490.20.491.481.981.781.481.781.281.281.380.990.30.30.1
160.040.040.190.190.070.190.560.740.670.560.670.480.480.520.370.110.110.04
170.020.020.090.090.040.090.280.370.330.280.330.240.240.260.190.060.060.02
180.020.020.090.090.040.090.280.370.330.280.330.240.240.260.190.060.060.02
190.020.020.120.120.050.120.370.490.440.370.440.320.320.350.250.070.070.02
200.020.020.090.090.040.090.280.370.330.280.330.240.240.260.190.060.060.02
210.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01
220.010.010.060.060.020.060.190.250.220.190.220.160.160.170.120.040.040.01
230.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01
240.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Depression x Separate \tabularnewline & 22 & 23 & 27 & 28 & 29 & 30 & 31 & 32 & 33 & 34 & 35 & 36 & 37 & 38 & 39 & 40 & 41 & 42 \tabularnewline 7 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.08 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline 8 & 0.03 & 0.03 & 0.15 & 0.15 & 0.06 & 0.15 & 0.46 & 0.62 & 0.56 & 0.46 & 0.56 & 0.4 & 0.4 & 0.43 & 0.31 & 0.09 & 0.09 & 0.03 \tabularnewline 9 & 0.06 & 0.06 & 0.31 & 0.31 & 0.12 & 0.31 & 0.93 & 1.23 & 1.11 & 0.93 & 1.11 & 0.8 & 0.8 & 0.86 & 0.62 & 0.19 & 0.19 & 0.06 \tabularnewline 10 & 0.11 & 0.11 & 0.56 & 0.56 & 0.22 & 0.56 & 1.67 & 2.22 & 2 & 1.67 & 2 & 1.44 & 1.44 & 1.56 & 1.11 & 0.33 & 0.33 & 0.11 \tabularnewline 11 & 0.17 & 0.17 & 0.86 & 0.86 & 0.35 & 0.86 & 2.59 & 3.46 & 3.11 & 2.59 & 3.11 & 2.25 & 2.25 & 2.42 & 1.73 & 0.52 & 0.52 & 0.17 \tabularnewline 12 & 0.13 & 0.13 & 0.65 & 0.65 & 0.26 & 0.65 & 1.94 & 2.59 & 2.33 & 1.94 & 2.33 & 1.69 & 1.69 & 1.81 & 1.3 & 0.39 & 0.39 & 0.13 \tabularnewline 13 & 0.12 & 0.12 & 0.59 & 0.59 & 0.23 & 0.59 & 1.76 & 2.35 & 2.11 & 1.76 & 2.11 & 1.52 & 1.52 & 1.64 & 1.17 & 0.35 & 0.35 & 0.12 \tabularnewline 14 & 0.12 & 0.12 & 0.62 & 0.62 & 0.25 & 0.62 & 1.85 & 2.47 & 2.22 & 1.85 & 2.22 & 1.6 & 1.6 & 1.73 & 1.23 & 0.37 & 0.37 & 0.12 \tabularnewline 15 & 0.1 & 0.1 & 0.49 & 0.49 & 0.2 & 0.49 & 1.48 & 1.98 & 1.78 & 1.48 & 1.78 & 1.28 & 1.28 & 1.38 & 0.99 & 0.3 & 0.3 & 0.1 \tabularnewline 16 & 0.04 & 0.04 & 0.19 & 0.19 & 0.07 & 0.19 & 0.56 & 0.74 & 0.67 & 0.56 & 0.67 & 0.48 & 0.48 & 0.52 & 0.37 & 0.11 & 0.11 & 0.04 \tabularnewline 17 & 0.02 & 0.02 & 0.09 & 0.09 & 0.04 & 0.09 & 0.28 & 0.37 & 0.33 & 0.28 & 0.33 & 0.24 & 0.24 & 0.26 & 0.19 & 0.06 & 0.06 & 0.02 \tabularnewline 18 & 0.02 & 0.02 & 0.09 & 0.09 & 0.04 & 0.09 & 0.28 & 0.37 & 0.33 & 0.28 & 0.33 & 0.24 & 0.24 & 0.26 & 0.19 & 0.06 & 0.06 & 0.02 \tabularnewline 19 & 0.02 & 0.02 & 0.12 & 0.12 & 0.05 & 0.12 & 0.37 & 0.49 & 0.44 & 0.37 & 0.44 & 0.32 & 0.32 & 0.35 & 0.25 & 0.07 & 0.07 & 0.02 \tabularnewline 20 & 0.02 & 0.02 & 0.09 & 0.09 & 0.04 & 0.09 & 0.28 & 0.37 & 0.33 & 0.28 & 0.33 & 0.24 & 0.24 & 0.26 & 0.19 & 0.06 & 0.06 & 0.02 \tabularnewline 21 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.08 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline 22 & 0.01 & 0.01 & 0.06 & 0.06 & 0.02 & 0.06 & 0.19 & 0.25 & 0.22 & 0.19 & 0.22 & 0.16 & 0.16 & 0.17 & 0.12 & 0.04 & 0.04 & 0.01 \tabularnewline 23 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.08 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline 24 & 0.01 & 0.01 & 0.03 & 0.03 & 0.01 & 0.03 & 0.09 & 0.12 & 0.11 & 0.09 & 0.11 & 0.08 & 0.08 & 0.09 & 0.06 & 0.02 & 0.02 & 0.01 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=144764&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Depression x Separate [/C][/ROW] [ROW][C] [/C][C]22[/C][C]23[/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][/ROW] [C]7[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.08[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [C]8[/C][C]0.03[/C][C]0.03[/C][C]0.15[/C][C]0.15[/C][C]0.06[/C][C]0.15[/C][C]0.46[/C][C]0.62[/C][C]0.56[/C][C]0.46[/C][C]0.56[/C][C]0.4[/C][C]0.4[/C][C]0.43[/C][C]0.31[/C][C]0.09[/C][C]0.09[/C][C]0.03[/C][/ROW] [C]9[/C][C]0.06[/C][C]0.06[/C][C]0.31[/C][C]0.31[/C][C]0.12[/C][C]0.31[/C][C]0.93[/C][C]1.23[/C][C]1.11[/C][C]0.93[/C][C]1.11[/C][C]0.8[/C][C]0.8[/C][C]0.86[/C][C]0.62[/C][C]0.19[/C][C]0.19[/C][C]0.06[/C][/ROW] [C]10[/C][C]0.11[/C][C]0.11[/C][C]0.56[/C][C]0.56[/C][C]0.22[/C][C]0.56[/C][C]1.67[/C][C]2.22[/C][C]2[/C][C]1.67[/C][C]2[/C][C]1.44[/C][C]1.44[/C][C]1.56[/C][C]1.11[/C][C]0.33[/C][C]0.33[/C][C]0.11[/C][/ROW] [C]11[/C][C]0.17[/C][C]0.17[/C][C]0.86[/C][C]0.86[/C][C]0.35[/C][C]0.86[/C][C]2.59[/C][C]3.46[/C][C]3.11[/C][C]2.59[/C][C]3.11[/C][C]2.25[/C][C]2.25[/C][C]2.42[/C][C]1.73[/C][C]0.52[/C][C]0.52[/C][C]0.17[/C][/ROW] [C]12[/C][C]0.13[/C][C]0.13[/C][C]0.65[/C][C]0.65[/C][C]0.26[/C][C]0.65[/C][C]1.94[/C][C]2.59[/C][C]2.33[/C][C]1.94[/C][C]2.33[/C][C]1.69[/C][C]1.69[/C][C]1.81[/C][C]1.3[/C][C]0.39[/C][C]0.39[/C][C]0.13[/C][/ROW] [C]13[/C][C]0.12[/C][C]0.12[/C][C]0.59[/C][C]0.59[/C][C]0.23[/C][C]0.59[/C][C]1.76[/C][C]2.35[/C][C]2.11[/C][C]1.76[/C][C]2.11[/C][C]1.52[/C][C]1.52[/C][C]1.64[/C][C]1.17[/C][C]0.35[/C][C]0.35[/C][C]0.12[/C][/ROW] [C]14[/C][C]0.12[/C][C]0.12[/C][C]0.62[/C][C]0.62[/C][C]0.25[/C][C]0.62[/C][C]1.85[/C][C]2.47[/C][C]2.22[/C][C]1.85[/C][C]2.22[/C][C]1.6[/C][C]1.6[/C][C]1.73[/C][C]1.23[/C][C]0.37[/C][C]0.37[/C][C]0.12[/C][/ROW] [C]15[/C][C]0.1[/C][C]0.1[/C][C]0.49[/C][C]0.49[/C][C]0.2[/C][C]0.49[/C][C]1.48[/C][C]1.98[/C][C]1.78[/C][C]1.48[/C][C]1.78[/C][C]1.28[/C][C]1.28[/C][C]1.38[/C][C]0.99[/C][C]0.3[/C][C]0.3[/C][C]0.1[/C][/ROW] [C]16[/C][C]0.04[/C][C]0.04[/C][C]0.19[/C][C]0.19[/C][C]0.07[/C][C]0.19[/C][C]0.56[/C][C]0.74[/C][C]0.67[/C][C]0.56[/C][C]0.67[/C][C]0.48[/C][C]0.48[/C][C]0.52[/C][C]0.37[/C][C]0.11[/C][C]0.11[/C][C]0.04[/C][/ROW] [C]17[/C][C]0.02[/C][C]0.02[/C][C]0.09[/C][C]0.09[/C][C]0.04[/C][C]0.09[/C][C]0.28[/C][C]0.37[/C][C]0.33[/C][C]0.28[/C][C]0.33[/C][C]0.24[/C][C]0.24[/C][C]0.26[/C][C]0.19[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW] [C]18[/C][C]0.02[/C][C]0.02[/C][C]0.09[/C][C]0.09[/C][C]0.04[/C][C]0.09[/C][C]0.28[/C][C]0.37[/C][C]0.33[/C][C]0.28[/C][C]0.33[/C][C]0.24[/C][C]0.24[/C][C]0.26[/C][C]0.19[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW] [C]19[/C][C]0.02[/C][C]0.02[/C][C]0.12[/C][C]0.12[/C][C]0.05[/C][C]0.12[/C][C]0.37[/C][C]0.49[/C][C]0.44[/C][C]0.37[/C][C]0.44[/C][C]0.32[/C][C]0.32[/C][C]0.35[/C][C]0.25[/C][C]0.07[/C][C]0.07[/C][C]0.02[/C][/ROW] [C]20[/C][C]0.02[/C][C]0.02[/C][C]0.09[/C][C]0.09[/C][C]0.04[/C][C]0.09[/C][C]0.28[/C][C]0.37[/C][C]0.33[/C][C]0.28[/C][C]0.33[/C][C]0.24[/C][C]0.24[/C][C]0.26[/C][C]0.19[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][/ROW] [C]21[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.08[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [C]22[/C][C]0.01[/C][C]0.01[/C][C]0.06[/C][C]0.06[/C][C]0.02[/C][C]0.06[/C][C]0.19[/C][C]0.25[/C][C]0.22[/C][C]0.19[/C][C]0.22[/C][C]0.16[/C][C]0.16[/C][C]0.17[/C][C]0.12[/C][C]0.04[/C][C]0.04[/C][C]0.01[/C][/ROW] [C]23[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.08[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [C]24[/C][C]0.01[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][C]0.01[/C][C]0.03[/C][C]0.09[/C][C]0.12[/C][C]0.11[/C][C]0.09[/C][C]0.11[/C][C]0.08[/C][C]0.08[/C][C]0.09[/C][C]0.06[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=144764&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144764&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
Depression x Separate
222327282930313233343536373839404142
70.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01
80.030.030.150.150.060.150.460.620.560.460.560.40.40.430.310.090.090.03
90.060.060.310.310.120.310.931.231.110.931.110.80.80.860.620.190.190.06
100.110.110.560.560.220.561.672.2221.6721.441.441.561.110.330.330.11
110.170.170.860.860.350.862.593.463.112.593.112.252.252.421.730.520.520.17
120.130.130.650.650.260.651.942.592.331.942.331.691.691.811.30.390.390.13
130.120.120.590.590.230.591.762.352.111.762.111.521.521.641.170.350.350.12
140.120.120.620.620.250.621.852.472.221.852.221.61.61.731.230.370.370.12
150.10.10.490.490.20.491.481.981.781.481.781.281.281.380.990.30.30.1
160.040.040.190.190.070.190.560.740.670.560.670.480.480.520.370.110.110.04
170.020.020.090.090.040.090.280.370.330.280.330.240.240.260.190.060.060.02
180.020.020.090.090.040.090.280.370.330.280.330.240.240.260.190.060.060.02
190.020.020.120.120.050.120.370.490.440.370.440.320.320.350.250.070.070.02
200.020.020.090.090.040.090.280.370.330.280.330.240.240.260.190.060.060.02
210.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01
220.010.010.060.060.020.060.190.250.220.190.220.160.160.170.120.040.040.01
230.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01
240.010.010.030.030.010.030.090.120.110.090.110.080.080.090.060.020.020.01






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic506.77
Degrees of Freedom289
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 506.77 \tabularnewline
Degrees of Freedom & 289 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144764&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]506.77[/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=144764&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144764&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 Statistic506.77
Degrees of Freedom289
P value0


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')