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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 computationFri, 24 Oct 2014 12:48:27 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/24/t1414151323cttznrp2x9z0ocw.htm/, Retrieved Fri, 10 May 2024 09:30:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=246307, Retrieved Fri, 10 May 2024 09:30:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact97

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] [ws6Q1d] [2014-10-24 11:48:27] [f8081e57f48fffedb891dd68b4ffae29] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14	12	41	38
18	11	39	32
11	14	30	35
12	12	31	33
16	21	34	37
18	12	35	29
14	22	39	31
14	11	34	36
15	10	36	35
15	13	37	38
17	10	38	31
19	8	36	34
10	15	38	35
16	14	39	38
18	10	33	37
14	14	32	33
14	14	36	32
17	11	38	38
14	10	39	38
16	13	32	32
18	7	32	33
11	14	31	31
14	12	39	38
12	14	37	39
17	11	39	32
9	9	41	32
16	11	36	35
14	15	33	37
15	14	33	33
11	13	34	33
16	9	31	28
13	15	27	32
17	10	37	31
15	11	34	37
14	13	34	30
16	8	32	33
9	20	29	31
15	12	36	33
17	10	29	31
13	10	35	33
15	9	37	32
16	14	34	33
16	8	38	32
12	14	35	33
12	11	38	28
11	13	37	35
15	9	38	39
15	11	33	34
17	15	36	38
13	11	38	32
16	10	32	38
14	14	32	30
11	18	32	33
12	14	34	38
12	11	32	32
15	12	37	32
16	13	39	34
15	9	29	34
12	10	37	36
12	15	35	34
8	20	30	28
13	12	38	34
11	12	34	35
14	14	31	35
15	13	34	31
10	11	35	37
11	17	36	35
12	12	30	27
15	13	39	40
15	14	35	37
14	13	38	36
16	15	31	38
15	13	34	39
15	10	38	41
13	11	34	27
12	19	39	30
17	13	37	37
13	17	34	31
15	13	28	31
13	9	37	27
15	11	33	36
16	10	37	38
15	9	35	37
16	12	37	33
15	12	32	34
14	13	33	31
15	13	38	39
14	12	33	34
13	15	29	32
7	22	33	33
17	13	31	36
13	15	36	32
15	13	35	41
14	15	32	28
13	10	29	30
16	11	39	36
12	16	37	35
14	11	35	31
17	11	37	34
15	10	32	36
17	10	38	36
12	16	37	35
16	12	36	37
11	11	32	28
15	16	33	39
9	19	40	32
16	11	38	35
15	16	41	39
10	15	36	35
10	24	43	42
15	14	30	34
11	15	31	33
13	11	32	41
14	15	32	33
18	12	37	34
16	10	37	32
14	14	33	40
14	13	34	40
14	9	33	35
14	15	38	36
12	15	33	37
14	14	31	27
15	11	38	39
15	8	37	38
15	11	33	31
13	11	31	33
17	8	39	32
17	10	44	39
19	11	33	36
15	13	35	33
13	11	32	33
9	20	28	32
15	10	40	37
15	15	27	30
15	12	37	38
16	14	32	29
11	23	28	22
14	14	34	35
11	16	30	35
15	11	35	34
13	12	31	35
15	10	32	34
16	14	30	34
14	12	30	35
15	12	31	23
16	11	40	31
16	12	32	27
11	13	36	36
12	11	32	31
9	19	35	32
16	12	38	39
13	17	42	37
16	9	34	38
12	12	35	39
9	19	35	34
13	18	33	31
13	15	36	32
14	14	32	37
19	11	33	36
13	9	34	32
12	18	32	35
13	16	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=246307&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=246307&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=246307&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
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=246307&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=246307&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=246307&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=246307&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=246307&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=246307&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=246307&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=246307&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=246307&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 = 2 ; par2 = 4 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 2 ; par2 = 4 ; 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')