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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 computationMon, 15 Dec 2014 09:56:50 +0000
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/Dec/15/t141863777596vxn4wngq0wqpm.htm/, Retrieved Thu, 16 May 2024 07:27:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268001, Retrieved Thu, 16 May 2024 07:27:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

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] [] [2014-12-15 09:56:50] [fe6a3e2d5def86ae31dbd813f23b564f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9	23
11	22
12	21
12	25
7	30
12	17
12	27
12	23
10	23
15	18
10	18
15	23
10	19
15	15
9	20
15	16
12	24
13	25
12	25
12	19
8	19
9	16
15	19
12	19
12	23
15	21
11	22
12	19
6	20
14	20
12	3
12	23
12	23
11	20
12	15
12	16
12	7
12	24
8	17
8	24
12	24
12	19
11	25
10	20
11	28
12	23
13	27
12	18
12	28
10	21
10	19
11	23
8	27
12	22
9	28
12	25
9	21
11	22
15	28
8	20
8	29
11	25
11	25
11	20
13	20
7	16
12	20
8	20
8	23
4	18
11	25
10	18
7	19
12	25
11	25
9	25
10	24
8	19
8	26
11	10
12	17
10	13
10	17
12	30
8	25
11	4
8	16
10	21
14	23
9	22
9	17
10	20
13	20
12	22
13	16
8	23
3	0
8	18
12	25
11	23
9	12
12	18
12	24
12	11
10	18
13	23
9	24
12	29
11	18
14	15
11	29
9	16
12	19
8	22
15	16
12	23
14	23
12	19
9	4
9	20
13	24
13	20
15	4
11	24
7	22
10	16
11	3
14	15
14	24
13	17
12	20
8	27
13	26
9	23
12	17
13	20
11	22
11	19
13	24
12	19
12	23
10	15
9	27
10	26
13	22
13	22
9	18
11	15
12	22
8	27
12	10
12	20
12	17
9	23
12	19
12	13
11	27
12	23
6	16
7	25
10	2
12	26
10	20
12	23
9	22

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268001&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]2 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=268001&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268001&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Tabulation of Results
CONFSOFTTOT x NUMERACYTOT
023471011121315161718192021222324252627282930
31000000000000000000000000
40000000000001000000000000
60000000000100010000000000
70000000000100100100100001
80000000000111220121113010
90001000100211021231101100
100100000011113232011010000
110011010001001120421501110
120010111011142831394511111
130000000000110040212111000
140000000002000010021000000
150001000001201101010000100

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
CONFSOFTTOT  x  NUMERACYTOT \tabularnewline
  & 0 & 2 & 3 & 4 & 7 & 10 & 11 & 12 & 13 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 24 & 25 & 26 & 27 & 28 & 29 & 30 \tabularnewline
3 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
6 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
7 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 \tabularnewline
8 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 2 & 2 & 0 & 1 & 2 & 1 & 1 & 1 & 3 & 0 & 1 & 0 \tabularnewline
9 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 2 & 1 & 1 & 0 & 2 & 1 & 2 & 3 & 1 & 1 & 0 & 1 & 1 & 0 & 0 \tabularnewline
10 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 3 & 2 & 3 & 2 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
11 & 0 & 0 & 1 & 1 & 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 1 & 2 & 0 & 4 & 2 & 1 & 5 & 0 & 1 & 1 & 1 & 0 \tabularnewline
12 & 0 & 0 & 1 & 0 & 1 & 1 & 1 & 0 & 1 & 1 & 1 & 4 & 2 & 8 & 3 & 1 & 3 & 9 & 4 & 5 & 1 & 1 & 1 & 1 & 1 \tabularnewline
13 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 4 & 0 & 2 & 1 & 2 & 1 & 1 & 1 & 0 & 0 & 0 \tabularnewline
14 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 2 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
15 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 0 & 1 & 1 & 0 & 1 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268001&T=1

[TABLE]
[ROW]Tabulation of Results[/C][/ROW]
[ROW]CONFSOFTTOT  x  NUMERACYTOT[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]2[/C][C]3[/C][C]4[/C][C]7[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][C]21[/C][C]22[/C][C]23[/C][C]24[/C][C]25[/C][C]26[/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][/ROW]
[C]3[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]4[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]6[/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]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]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]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/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][/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]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]2[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]3[/C][C]0[/C][C]1[/C][C]0[/C][/ROW]
[C]9[/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]0[/C][C]2[/C][C]1[/C][C]1[/C][C]0[/C][C]2[/C][C]1[/C][C]2[/C][C]3[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]10[/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]1[/C][C]1[/C][C]1[/C][C]1[/C][C]3[/C][C]2[/C][C]3[/C][C]2[/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][/ROW]
[C]11[/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]1[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]2[/C][C]0[/C][C]4[/C][C]2[/C][C]1[/C][C]5[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][/ROW]
[C]12[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/C][C]4[/C][C]2[/C][C]8[/C][C]3[/C][C]1[/C][C]3[/C][C]9[/C][C]4[/C][C]5[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][C]1[/C][/ROW]
[C]13[/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]1[/C][C]0[/C][C]0[/C][C]4[/C][C]0[/C][C]2[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]14[/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]2[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][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]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]2[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268001&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268001&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
CONFSOFTTOT x NUMERACYTOT
023471011121315161718192021222324252627282930
31000000000000000000000000
40000000000001000000000000
60000000000100010000000000
70000000000100100100100001
80000000000111220121113010
90001000100211021231101100
100100000011113232011010000
110011010001001120421501110
120010111011142831394511111
130000000000110040212111000
140000000002000010021000000
150001000001201101010000100






Tabulation of Expected Results
CONFSOFTTOT x NUMERACYTOT
023471011121315161718192021222324252627282930
30.010.010.010.020.010.010.010.010.010.040.060.050.060.090.110.030.080.130.070.080.020.040.020.020.01
40.010.010.010.020.010.010.010.010.010.040.060.050.060.090.110.030.080.130.070.080.020.040.020.020.01
60.010.010.020.040.010.020.010.010.020.070.120.10.120.180.220.060.160.250.130.170.050.080.050.040.02
70.030.030.060.090.030.060.030.030.060.180.30.240.30.450.550.150.390.640.330.420.120.210.120.090.06
80.10.10.210.310.10.210.10.10.210.621.030.821.031.551.850.521.342.161.131.440.410.720.410.310.21
90.110.110.220.330.110.220.110.110.220.651.090.871.091.641.960.551.422.291.21.530.440.760.440.330.22
100.110.110.220.330.110.220.110.110.220.651.090.871.091.641.960.551.422.291.21.530.440.760.440.330.22
110.140.140.280.420.140.280.140.140.280.841.391.121.392.092.510.71.812.931.531.950.560.980.560.420.28
120.310.310.620.930.310.620.310.310.621.853.092.473.094.645.561.554.026.493.44.331.242.161.240.930.62
130.080.080.170.250.080.170.080.080.170.510.850.680.851.271.530.421.11.780.931.190.340.590.340.250.17
140.040.040.070.110.040.070.040.040.070.220.360.290.360.550.650.180.470.760.40.510.150.250.150.110.07
150.050.050.110.160.050.110.050.050.110.330.550.440.550.820.980.270.711.150.60.760.220.380.220.160.11

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
CONFSOFTTOT  x  NUMERACYTOT \tabularnewline
  & 0 & 2 & 3 & 4 & 7 & 10 & 11 & 12 & 13 & 15 & 16 & 17 & 18 & 19 & 20 & 21 & 22 & 23 & 24 & 25 & 26 & 27 & 28 & 29 & 30 \tabularnewline
3 & 0.01 & 0.01 & 0.01 & 0.02 & 0.01 & 0.01 & 0.01 & 0.01 & 0.01 & 0.04 & 0.06 & 0.05 & 0.06 & 0.09 & 0.11 & 0.03 & 0.08 & 0.13 & 0.07 & 0.08 & 0.02 & 0.04 & 0.02 & 0.02 & 0.01 \tabularnewline
4 & 0.01 & 0.01 & 0.01 & 0.02 & 0.01 & 0.01 & 0.01 & 0.01 & 0.01 & 0.04 & 0.06 & 0.05 & 0.06 & 0.09 & 0.11 & 0.03 & 0.08 & 0.13 & 0.07 & 0.08 & 0.02 & 0.04 & 0.02 & 0.02 & 0.01 \tabularnewline
6 & 0.01 & 0.01 & 0.02 & 0.04 & 0.01 & 0.02 & 0.01 & 0.01 & 0.02 & 0.07 & 0.12 & 0.1 & 0.12 & 0.18 & 0.22 & 0.06 & 0.16 & 0.25 & 0.13 & 0.17 & 0.05 & 0.08 & 0.05 & 0.04 & 0.02 \tabularnewline
7 & 0.03 & 0.03 & 0.06 & 0.09 & 0.03 & 0.06 & 0.03 & 0.03 & 0.06 & 0.18 & 0.3 & 0.24 & 0.3 & 0.45 & 0.55 & 0.15 & 0.39 & 0.64 & 0.33 & 0.42 & 0.12 & 0.21 & 0.12 & 0.09 & 0.06 \tabularnewline
8 & 0.1 & 0.1 & 0.21 & 0.31 & 0.1 & 0.21 & 0.1 & 0.1 & 0.21 & 0.62 & 1.03 & 0.82 & 1.03 & 1.55 & 1.85 & 0.52 & 1.34 & 2.16 & 1.13 & 1.44 & 0.41 & 0.72 & 0.41 & 0.31 & 0.21 \tabularnewline
9 & 0.11 & 0.11 & 0.22 & 0.33 & 0.11 & 0.22 & 0.11 & 0.11 & 0.22 & 0.65 & 1.09 & 0.87 & 1.09 & 1.64 & 1.96 & 0.55 & 1.42 & 2.29 & 1.2 & 1.53 & 0.44 & 0.76 & 0.44 & 0.33 & 0.22 \tabularnewline
10 & 0.11 & 0.11 & 0.22 & 0.33 & 0.11 & 0.22 & 0.11 & 0.11 & 0.22 & 0.65 & 1.09 & 0.87 & 1.09 & 1.64 & 1.96 & 0.55 & 1.42 & 2.29 & 1.2 & 1.53 & 0.44 & 0.76 & 0.44 & 0.33 & 0.22 \tabularnewline
11 & 0.14 & 0.14 & 0.28 & 0.42 & 0.14 & 0.28 & 0.14 & 0.14 & 0.28 & 0.84 & 1.39 & 1.12 & 1.39 & 2.09 & 2.51 & 0.7 & 1.81 & 2.93 & 1.53 & 1.95 & 0.56 & 0.98 & 0.56 & 0.42 & 0.28 \tabularnewline
12 & 0.31 & 0.31 & 0.62 & 0.93 & 0.31 & 0.62 & 0.31 & 0.31 & 0.62 & 1.85 & 3.09 & 2.47 & 3.09 & 4.64 & 5.56 & 1.55 & 4.02 & 6.49 & 3.4 & 4.33 & 1.24 & 2.16 & 1.24 & 0.93 & 0.62 \tabularnewline
13 & 0.08 & 0.08 & 0.17 & 0.25 & 0.08 & 0.17 & 0.08 & 0.08 & 0.17 & 0.51 & 0.85 & 0.68 & 0.85 & 1.27 & 1.53 & 0.42 & 1.1 & 1.78 & 0.93 & 1.19 & 0.34 & 0.59 & 0.34 & 0.25 & 0.17 \tabularnewline
14 & 0.04 & 0.04 & 0.07 & 0.11 & 0.04 & 0.07 & 0.04 & 0.04 & 0.07 & 0.22 & 0.36 & 0.29 & 0.36 & 0.55 & 0.65 & 0.18 & 0.47 & 0.76 & 0.4 & 0.51 & 0.15 & 0.25 & 0.15 & 0.11 & 0.07 \tabularnewline
15 & 0.05 & 0.05 & 0.11 & 0.16 & 0.05 & 0.11 & 0.05 & 0.05 & 0.11 & 0.33 & 0.55 & 0.44 & 0.55 & 0.82 & 0.98 & 0.27 & 0.71 & 1.15 & 0.6 & 0.76 & 0.22 & 0.38 & 0.22 & 0.16 & 0.11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268001&T=2

[TABLE]
[ROW]Tabulation of Expected Results[/C][/ROW]
[ROW]CONFSOFTTOT  x  NUMERACYTOT[/C][/ROW]
[ROW][C] [/C][C]0[/C][C]2[/C][C]3[/C][C]4[/C][C]7[/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][C]21[/C][C]22[/C][C]23[/C][C]24[/C][C]25[/C][C]26[/C][C]27[/C][C]28[/C][C]29[/C][C]30[/C][/ROW]
[C]3[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.06[/C][C]0.05[/C][C]0.06[/C][C]0.09[/C][C]0.11[/C][C]0.03[/C][C]0.08[/C][C]0.13[/C][C]0.07[/C][C]0.08[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW]
[C]4[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.01[/C][C]0.04[/C][C]0.06[/C][C]0.05[/C][C]0.06[/C][C]0.09[/C][C]0.11[/C][C]0.03[/C][C]0.08[/C][C]0.13[/C][C]0.07[/C][C]0.08[/C][C]0.02[/C][C]0.04[/C][C]0.02[/C][C]0.02[/C][C]0.01[/C][/ROW]
[C]6[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][C]0.04[/C][C]0.01[/C][C]0.02[/C][C]0.01[/C][C]0.01[/C][C]0.02[/C][C]0.07[/C][C]0.12[/C][C]0.1[/C][C]0.12[/C][C]0.18[/C][C]0.22[/C][C]0.06[/C][C]0.16[/C][C]0.25[/C][C]0.13[/C][C]0.17[/C][C]0.05[/C][C]0.08[/C][C]0.05[/C][C]0.04[/C][C]0.02[/C][/ROW]
[C]7[/C][C]0.03[/C][C]0.03[/C][C]0.06[/C][C]0.09[/C][C]0.03[/C][C]0.06[/C][C]0.03[/C][C]0.03[/C][C]0.06[/C][C]0.18[/C][C]0.3[/C][C]0.24[/C][C]0.3[/C][C]0.45[/C][C]0.55[/C][C]0.15[/C][C]0.39[/C][C]0.64[/C][C]0.33[/C][C]0.42[/C][C]0.12[/C][C]0.21[/C][C]0.12[/C][C]0.09[/C][C]0.06[/C][/ROW]
[C]8[/C][C]0.1[/C][C]0.1[/C][C]0.21[/C][C]0.31[/C][C]0.1[/C][C]0.21[/C][C]0.1[/C][C]0.1[/C][C]0.21[/C][C]0.62[/C][C]1.03[/C][C]0.82[/C][C]1.03[/C][C]1.55[/C][C]1.85[/C][C]0.52[/C][C]1.34[/C][C]2.16[/C][C]1.13[/C][C]1.44[/C][C]0.41[/C][C]0.72[/C][C]0.41[/C][C]0.31[/C][C]0.21[/C][/ROW]
[C]9[/C][C]0.11[/C][C]0.11[/C][C]0.22[/C][C]0.33[/C][C]0.11[/C][C]0.22[/C][C]0.11[/C][C]0.11[/C][C]0.22[/C][C]0.65[/C][C]1.09[/C][C]0.87[/C][C]1.09[/C][C]1.64[/C][C]1.96[/C][C]0.55[/C][C]1.42[/C][C]2.29[/C][C]1.2[/C][C]1.53[/C][C]0.44[/C][C]0.76[/C][C]0.44[/C][C]0.33[/C][C]0.22[/C][/ROW]
[C]10[/C][C]0.11[/C][C]0.11[/C][C]0.22[/C][C]0.33[/C][C]0.11[/C][C]0.22[/C][C]0.11[/C][C]0.11[/C][C]0.22[/C][C]0.65[/C][C]1.09[/C][C]0.87[/C][C]1.09[/C][C]1.64[/C][C]1.96[/C][C]0.55[/C][C]1.42[/C][C]2.29[/C][C]1.2[/C][C]1.53[/C][C]0.44[/C][C]0.76[/C][C]0.44[/C][C]0.33[/C][C]0.22[/C][/ROW]
[C]11[/C][C]0.14[/C][C]0.14[/C][C]0.28[/C][C]0.42[/C][C]0.14[/C][C]0.28[/C][C]0.14[/C][C]0.14[/C][C]0.28[/C][C]0.84[/C][C]1.39[/C][C]1.12[/C][C]1.39[/C][C]2.09[/C][C]2.51[/C][C]0.7[/C][C]1.81[/C][C]2.93[/C][C]1.53[/C][C]1.95[/C][C]0.56[/C][C]0.98[/C][C]0.56[/C][C]0.42[/C][C]0.28[/C][/ROW]
[C]12[/C][C]0.31[/C][C]0.31[/C][C]0.62[/C][C]0.93[/C][C]0.31[/C][C]0.62[/C][C]0.31[/C][C]0.31[/C][C]0.62[/C][C]1.85[/C][C]3.09[/C][C]2.47[/C][C]3.09[/C][C]4.64[/C][C]5.56[/C][C]1.55[/C][C]4.02[/C][C]6.49[/C][C]3.4[/C][C]4.33[/C][C]1.24[/C][C]2.16[/C][C]1.24[/C][C]0.93[/C][C]0.62[/C][/ROW]
[C]13[/C][C]0.08[/C][C]0.08[/C][C]0.17[/C][C]0.25[/C][C]0.08[/C][C]0.17[/C][C]0.08[/C][C]0.08[/C][C]0.17[/C][C]0.51[/C][C]0.85[/C][C]0.68[/C][C]0.85[/C][C]1.27[/C][C]1.53[/C][C]0.42[/C][C]1.1[/C][C]1.78[/C][C]0.93[/C][C]1.19[/C][C]0.34[/C][C]0.59[/C][C]0.34[/C][C]0.25[/C][C]0.17[/C][/ROW]
[C]14[/C][C]0.04[/C][C]0.04[/C][C]0.07[/C][C]0.11[/C][C]0.04[/C][C]0.07[/C][C]0.04[/C][C]0.04[/C][C]0.07[/C][C]0.22[/C][C]0.36[/C][C]0.29[/C][C]0.36[/C][C]0.55[/C][C]0.65[/C][C]0.18[/C][C]0.47[/C][C]0.76[/C][C]0.4[/C][C]0.51[/C][C]0.15[/C][C]0.25[/C][C]0.15[/C][C]0.11[/C][C]0.07[/C][/ROW]
[C]15[/C][C]0.05[/C][C]0.05[/C][C]0.11[/C][C]0.16[/C][C]0.05[/C][C]0.11[/C][C]0.05[/C][C]0.05[/C][C]0.11[/C][C]0.33[/C][C]0.55[/C][C]0.44[/C][C]0.55[/C][C]0.82[/C][C]0.98[/C][C]0.27[/C][C]0.71[/C][C]1.15[/C][C]0.6[/C][C]0.76[/C][C]0.22[/C][C]0.38[/C][C]0.22[/C][C]0.16[/C][C]0.11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268001&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268001&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
CONFSOFTTOT x NUMERACYTOT
023471011121315161718192021222324252627282930
30.010.010.010.020.010.010.010.010.010.040.060.050.060.090.110.030.080.130.070.080.020.040.020.020.01
40.010.010.010.020.010.010.010.010.010.040.060.050.060.090.110.030.080.130.070.080.020.040.020.020.01
60.010.010.020.040.010.020.010.010.020.070.120.10.120.180.220.060.160.250.130.170.050.080.050.040.02
70.030.030.060.090.030.060.030.030.060.180.30.240.30.450.550.150.390.640.330.420.120.210.120.090.06
80.10.10.210.310.10.210.10.10.210.621.030.821.031.551.850.521.342.161.131.440.410.720.410.310.21
90.110.110.220.330.110.220.110.110.220.651.090.871.091.641.960.551.422.291.21.530.440.760.440.330.22
100.110.110.220.330.110.220.110.110.220.651.090.871.091.641.960.551.422.291.21.530.440.760.440.330.22
110.140.140.280.420.140.280.140.140.280.841.391.121.392.092.510.71.812.931.531.950.560.980.560.420.28
120.310.310.620.930.310.620.310.310.621.853.092.473.094.645.561.554.026.493.44.331.242.161.240.930.62
130.080.080.170.250.080.170.080.080.170.510.850.680.851.271.530.421.11.780.931.190.340.590.340.250.17
140.040.040.070.110.040.070.040.040.070.220.360.290.360.550.650.180.470.760.40.510.150.250.150.110.07
150.050.050.110.160.050.110.050.050.110.330.550.440.550.820.980.270.711.150.60.760.220.380.220.160.11






Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic355.38
Degrees of Freedom264
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 355.38 \tabularnewline
Degrees of Freedom & 264 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268001&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]355.38[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]264[/C][/ROW]
[ROW][C]P value[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268001&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268001&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 Statistic355.38
Degrees of Freedom264
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):
par3 <- 'Pearson Chi-Squared'
par2 <- '2'
par1 <- '1'
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')