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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationFri, 05 Dec 2014 17:04:37 +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/05/t1417799273tlxpzxaen4ss9yg.htm/, Retrieved Thu, 16 May 2024 11:57:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263523, Retrieved Thu, 16 May 2024 11:57:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact119
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] [] [2014-12-05 17:04:37] [f8081e57f48fffedb891dd68b4ffae29] [Current]
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Dataseries X:
'7.5' 13
6 8
'6.5' 14
1 16
1 14
'5.5' 13
'8.5' 15
'6.5' 13
'4.5' 20
2 17
5 15
'0.5' 16
5 12
5 17
'2.5' 11
5 16
'5.5' 16
'3.5' 15
3 13
4 14
'0.5' 19
'6.5' 16
'4.5' 17
'7.5' 10
'5.5' 15
4 14
'7.5' 14
7 16
4 15
'5.5' 17
'2.5' 14
'5.5' 16
'3.5' 15
'2.5' 16
'4.5' 16
'4.5' 10
'4.5' 8
6 17
'2.5' 14
5 10
0 14
5 12
'6.5' 16
5 16
6 16
'4.5' 8
'5.5' 16
1 15
'7.5' 8
6 13
5 14
1 13
5 16
'6.5' 19
7 19
'4.5' 14
0 15
'8.5' 13
'3.5' 10
'7.5' 16
'3.5' 15
6 11
'1.5' 9
9 16
'3.5' 12
'3.5' 12
4 14
'6.5' 14
'7.5' 13
6 15
5 17
'5.5' 14
'3.5' 11
'7.5' 9
'6.5' 7
'6.5' 15
'6.5' 12
7 15
'3.5' 14
'1.5' 16
4 14
'7.5' 13
'4.5' 16
0 13
'3.5' 16
'5.5' 16
5 16
'4.5' 10
'2.5' 12
'7.5' 12
7 12
0 12
'4.5' 19
3 14
'1.5' 13
'3.5' 16
'2.5' 15
'5.5' 12
8 8
1 10
5 16
'4.5' 16
3 10
3 18
8 12
'2.5' 16
7 10
0 14
1 12
'3.5' 11
'5.5' 15
'5.5' 7
'0.5' 16
'7.5' 16
9 16
'9.5' 16
'8.5' 12
7 15
8 14
10 15
7 16
'8.5' 13
9 10
'9.5' 17
4 15
6 18
8 16
'5.5' 20
'9.5' 16
'7.5' 17
7 16
'7.5' 15
8 13
7 16
7 16
6 16
10 17
'2.5' 20
9 14
8 17
6 6
'8.5' 16
6 15
9 16
8 16
9 14
'5.5' 16
7 16
'5.5' 16
9 14
2 14
'8.5' 16
9 16
'8.5' 15
9 16
'7.5' 16
10 18
9 15
'7.5' 16
6 16
'10.5' 16
'8.5' 17
8 14
10 18
'10.5' 9
'6.5' 15
'9.5' 14
'8.5' 15
'7.5' 13
5 16
8 20
10 14
7 12
'7.5' 15
'7.5' 15
'9.5' 15
6 16
10 11
7 16
3 7
6 11
7 9
10 15
7 16
'3.5' 14
8 15
10 13
'5.5' 13
6 12
'6.5' 16
'6.5' 14
'8.5' 16
4 14
'9.5' 15
8 10
'8.5' 16
'5.5' 14
7 16
9 12
8 16
10 16
8 15
6 14
8 16
5 11
9 15
'4.5' 18
'8.5' 13
'9.5' 7
'8.5' 7
'7.5' 17
'7.5' 18
5 15
7 8
8 13
'5.5' 13
'8.5' 15
'9.5' 18
7 16
8 14
'8.5' 15
'3.5' 19
'6.5' 16
'6.5' 12
'10.5' 16
'8.5' 11
8 16
10 15
10 19
'9.5' 15
9 14
10 14
'7.5' 17
'4.5' 16
'4.5' 20
'0.5' 16
'6.5' 9
'4.5' 13
'5.5' 15
5 19
6 16
4 17
8 16
'10.5' 9
'6.5' 11
8 14
'8.5' 19
'5.5' 13
7 14
5 15
'3.5' 15
5 14
9 16
'8.5' 17
5 12
'9.5' 15
3 17
'1.5' 15
6 10
'0.5' 16
'6.5' 15
'7.5' 11
'4.5' 16
8 16
9 16
'7.5' 14
'8.5' 14
7 16
'9.5' 16
'6.5' 18
'9.5' 14
6 20
8 15
'9.5' 16
8 16
8 16
9 12
5 8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263523&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263523&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263523&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
Ex x CONFSTATTOT
10111213141516171819206789
0001121000000000
0.5000000400100000
1101111100000000
1.5000101100000001
10010123112100000
10.5000000200000002
2000010010000000
2.5011021200010000
3100110011000100
3.5122024200100000
4000052010000000
4.5200110511120020
5113023620100010
5.5001423610010100
6121112511011010
6.5012133401100101
71020121100100011
7.5111423431000011
8101243910010010
8.5011315420100100
9102042700000000
9.5000024411000100

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline Ex x CONFSTATTOT \tabularnewline & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 6 & 7 & 8 & 9 \tabularnewline 0 & 0 & 0 & 1 & 1 & 2 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 0.5 & 0 & 0 & 0 & 0 & 0 & 0 & 4 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 1 & 1 & 0 & 1 & 1 & 1 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 1.5 & 0 & 0 & 0 & 1 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline 10 & 0 & 1 & 0 & 1 & 2 & 3 & 1 & 1 & 2 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 10.5 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \tabularnewline 2 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 2.5 & 0 & 1 & 1 & 0 & 2 & 1 & 2 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline 3 & 1 & 0 & 0 & 1 & 1 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline 3.5 & 1 & 2 & 2 & 0 & 2 & 4 & 2 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline 4 & 0 & 0 & 0 & 0 & 5 & 2 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 4.5 & 2 & 0 & 0 & 1 & 1 & 0 & 5 & 1 & 1 & 1 & 2 & 0 & 0 & 2 & 0 \tabularnewline 5 & 1 & 1 & 3 & 0 & 2 & 3 & 6 & 2 & 0 & 1 & 0 & 0 & 0 & 1 & 0 \tabularnewline 5.5 & 0 & 0 & 1 & 4 & 2 & 3 & 6 & 1 & 0 & 0 & 1 & 0 & 1 & 0 & 0 \tabularnewline 6 & 1 & 2 & 1 & 1 & 1 & 2 & 5 & 1 & 1 & 0 & 1 & 1 & 0 & 1 & 0 \tabularnewline 6.5 & 0 & 1 & 2 & 1 & 3 & 3 & 4 & 0 & 1 & 1 & 0 & 0 & 1 & 0 & 1 \tabularnewline 7 & 1 & 0 & 2 & 0 & 1 & 2 & 11 & 0 & 0 & 1 & 0 & 0 & 0 & 1 & 1 \tabularnewline 7.5 & 1 & 1 & 1 & 4 & 2 & 3 & 4 & 3 & 1 & 0 & 0 & 0 & 0 & 1 & 1 \tabularnewline 8 & 1 & 0 & 1 & 2 & 4 & 3 & 9 & 1 & 0 & 0 & 1 & 0 & 0 & 1 & 0 \tabularnewline 8.5 & 0 & 1 & 1 & 3 & 1 & 5 & 4 & 2 & 0 & 1 & 0 & 0 & 1 & 0 & 0 \tabularnewline 9 & 1 & 0 & 2 & 0 & 4 & 2 & 7 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 9.5 & 0 & 0 & 0 & 0 & 2 & 4 & 4 & 1 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=263523&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]Ex x CONFSTATTOT[/C][/ROW] [ROW][C] [/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][/ROW] [C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/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][C]0[/C][C]0[/C][/ROW] [C]0.5[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]4[/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]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]1[/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][/ROW] [C]1.5[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/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]1[/C][/ROW] [C]10[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]3[/C][C]1[/C][C]1[/C][C]2[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]10.5[/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]0[/C][C]0[/C][C]0[/C][C]2[/C][/ROW] [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]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]2.5[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/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][C]0[/C][C]0[/C][/ROW] [C]3[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/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]1[/C][C]0[/C][C]0[/C][/ROW] [C]3.5[/C][C]1[/C][C]2[/C][C]2[/C][C]0[/C][C]2[/C][C]4[/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][/ROW] [C]4[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]5[/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][/ROW] [C]4.5[/C][C]2[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]5[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]0[/C][C]0[/C][C]2[/C][C]0[/C][/ROW] [C]5[/C][C]1[/C][C]1[/C][C]3[/C][C]0[/C][C]2[/C][C]3[/C][C]6[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]5.5[/C][C]0[/C][C]0[/C][C]1[/C][C]4[/C][C]2[/C][C]3[/C][C]6[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]6[/C][C]1[/C][C]2[/C][C]1[/C][C]1[/C][C]1[/C][C]2[/C][C]5[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]1[/C][C]0[/C][/ROW] [C]6.5[/C][C]0[/C][C]1[/C][C]2[/C][C]1[/C][C]3[/C][C]3[/C][C]4[/C][C]0[/C][C]1[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]1[/C][/ROW] [C]7[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]1[/C][C]2[/C][C]11[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][/ROW] [C]7.5[/C][C]1[/C][C]1[/C][C]1[/C][C]4[/C][C]2[/C][C]3[/C][C]4[/C][C]3[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]1[/C][/ROW] [C]8[/C][C]1[/C][C]0[/C][C]1[/C][C]2[/C][C]4[/C][C]3[/C][C]9[/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][/ROW] [C]8.5[/C][C]0[/C][C]1[/C][C]1[/C][C]3[/C][C]1[/C][C]5[/C][C]4[/C][C]2[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW] [C]9[/C][C]1[/C][C]0[/C][C]2[/C][C]0[/C][C]4[/C][C]2[/C][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][/ROW] [C]9.5[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]2[/C][C]4[/C][C]4[/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][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=263523&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263523&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Results
Ex x CONFSTATTOT
10111213141516171819206789
0001121000000000
0.5000000400100000
1101111100000000
1.5000101100000001
10010123112100000
10.5000000200000002
2000010010000000
2.5011021200010000
3100110011000100
3.5122024200100000
4000052010000000
4.5200110511120020
5113023620100010
5.5001423610010100
6121112511011010
6.5012133401100101
71020121100100011
7.5111423431000011
8101243910010010
8.5011315420100100
9102042700000000
9.5000024411000100







Tabulation of Expected Results
Ex x CONFSTATTOT
10111213141516171819206789
00.20.180.340.380.70.771.40.290.140.140.110.020.090.130.11
0.50.20.180.340.380.70.771.40.290.140.140.110.020.090.130.11
10.240.220.410.450.840.931.680.350.170.170.130.020.110.150.13
1.50.160.140.270.30.560.621.120.230.120.120.090.010.070.10.09
100.470.430.820.911.681.863.370.690.350.350.260.040.220.30.26
10.50.160.140.270.30.560.621.120.230.120.120.090.010.070.10.09
20.080.070.140.150.280.310.560.120.060.060.040.010.040.050.04
2.50.320.290.550.61.121.242.240.460.230.230.170.030.140.20.17
30.240.220.410.450.840.931.680.350.170.170.130.020.110.150.13
3.50.550.50.961.061.962.173.930.810.40.40.30.050.250.350.3
40.320.290.550.61.121.242.240.460.230.230.170.030.140.20.17
4.50.630.581.091.212.242.474.490.920.460.460.350.060.290.40.35
50.790.721.371.512.813.095.611.150.580.580.430.070.360.50.43
5.50.750.681.31.442.672.945.331.090.550.550.410.070.340.480.41
60.710.651.231.362.532.785.051.040.520.520.390.060.320.450.39
6.50.710.651.231.362.532.785.051.040.520.520.390.060.320.450.39
70.790.721.371.512.813.095.611.150.580.580.430.070.360.50.43
7.50.870.791.51.663.093.46.171.270.630.630.470.080.40.550.47
80.910.831.571.743.233.566.451.320.660.660.50.080.410.580.5
8.50.750.681.31.442.672.945.331.090.550.550.410.070.340.480.41
90.630.581.091.212.242.474.490.920.460.460.350.060.290.40.35
9.50.510.470.890.981.822.013.650.750.370.370.280.050.230.330.28

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline Ex x CONFSTATTOT \tabularnewline & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 & 6 & 7 & 8 & 9 \tabularnewline 0 & 0.2 & 0.18 & 0.34 & 0.38 & 0.7 & 0.77 & 1.4 & 0.29 & 0.14 & 0.14 & 0.11 & 0.02 & 0.09 & 0.13 & 0.11 \tabularnewline 0.5 & 0.2 & 0.18 & 0.34 & 0.38 & 0.7 & 0.77 & 1.4 & 0.29 & 0.14 & 0.14 & 0.11 & 0.02 & 0.09 & 0.13 & 0.11 \tabularnewline 1 & 0.24 & 0.22 & 0.41 & 0.45 & 0.84 & 0.93 & 1.68 & 0.35 & 0.17 & 0.17 & 0.13 & 0.02 & 0.11 & 0.15 & 0.13 \tabularnewline 1.5 & 0.16 & 0.14 & 0.27 & 0.3 & 0.56 & 0.62 & 1.12 & 0.23 & 0.12 & 0.12 & 0.09 & 0.01 & 0.07 & 0.1 & 0.09 \tabularnewline 10 & 0.47 & 0.43 & 0.82 & 0.91 & 1.68 & 1.86 & 3.37 & 0.69 & 0.35 & 0.35 & 0.26 & 0.04 & 0.22 & 0.3 & 0.26 \tabularnewline 10.5 & 0.16 & 0.14 & 0.27 & 0.3 & 0.56 & 0.62 & 1.12 & 0.23 & 0.12 & 0.12 & 0.09 & 0.01 & 0.07 & 0.1 & 0.09 \tabularnewline 2 & 0.08 & 0.07 & 0.14 & 0.15 & 0.28 & 0.31 & 0.56 & 0.12 & 0.06 & 0.06 & 0.04 & 0.01 & 0.04 & 0.05 & 0.04 \tabularnewline 2.5 & 0.32 & 0.29 & 0.55 & 0.6 & 1.12 & 1.24 & 2.24 & 0.46 & 0.23 & 0.23 & 0.17 & 0.03 & 0.14 & 0.2 & 0.17 \tabularnewline 3 & 0.24 & 0.22 & 0.41 & 0.45 & 0.84 & 0.93 & 1.68 & 0.35 & 0.17 & 0.17 & 0.13 & 0.02 & 0.11 & 0.15 & 0.13 \tabularnewline 3.5 & 0.55 & 0.5 & 0.96 & 1.06 & 1.96 & 2.17 & 3.93 & 0.81 & 0.4 & 0.4 & 0.3 & 0.05 & 0.25 & 0.35 & 0.3 \tabularnewline 4 & 0.32 & 0.29 & 0.55 & 0.6 & 1.12 & 1.24 & 2.24 & 0.46 & 0.23 & 0.23 & 0.17 & 0.03 & 0.14 & 0.2 & 0.17 \tabularnewline 4.5 & 0.63 & 0.58 & 1.09 & 1.21 & 2.24 & 2.47 & 4.49 & 0.92 & 0.46 & 0.46 & 0.35 & 0.06 & 0.29 & 0.4 & 0.35 \tabularnewline 5 & 0.79 & 0.72 & 1.37 & 1.51 & 2.81 & 3.09 & 5.61 & 1.15 & 0.58 & 0.58 & 0.43 & 0.07 & 0.36 & 0.5 & 0.43 \tabularnewline 5.5 & 0.75 & 0.68 & 1.3 & 1.44 & 2.67 & 2.94 & 5.33 & 1.09 & 0.55 & 0.55 & 0.41 & 0.07 & 0.34 & 0.48 & 0.41 \tabularnewline 6 & 0.71 & 0.65 & 1.23 & 1.36 & 2.53 & 2.78 & 5.05 & 1.04 & 0.52 & 0.52 & 0.39 & 0.06 & 0.32 & 0.45 & 0.39 \tabularnewline 6.5 & 0.71 & 0.65 & 1.23 & 1.36 & 2.53 & 2.78 & 5.05 & 1.04 & 0.52 & 0.52 & 0.39 & 0.06 & 0.32 & 0.45 & 0.39 \tabularnewline 7 & 0.79 & 0.72 & 1.37 & 1.51 & 2.81 & 3.09 & 5.61 & 1.15 & 0.58 & 0.58 & 0.43 & 0.07 & 0.36 & 0.5 & 0.43 \tabularnewline 7.5 & 0.87 & 0.79 & 1.5 & 1.66 & 3.09 & 3.4 & 6.17 & 1.27 & 0.63 & 0.63 & 0.47 & 0.08 & 0.4 & 0.55 & 0.47 \tabularnewline 8 & 0.91 & 0.83 & 1.57 & 1.74 & 3.23 & 3.56 & 6.45 & 1.32 & 0.66 & 0.66 & 0.5 & 0.08 & 0.41 & 0.58 & 0.5 \tabularnewline 8.5 & 0.75 & 0.68 & 1.3 & 1.44 & 2.67 & 2.94 & 5.33 & 1.09 & 0.55 & 0.55 & 0.41 & 0.07 & 0.34 & 0.48 & 0.41 \tabularnewline 9 & 0.63 & 0.58 & 1.09 & 1.21 & 2.24 & 2.47 & 4.49 & 0.92 & 0.46 & 0.46 & 0.35 & 0.06 & 0.29 & 0.4 & 0.35 \tabularnewline 9.5 & 0.51 & 0.47 & 0.89 & 0.98 & 1.82 & 2.01 & 3.65 & 0.75 & 0.37 & 0.37 & 0.28 & 0.05 & 0.23 & 0.33 & 0.28 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=263523&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]Ex x CONFSTATTOT[/C][/ROW] [ROW][C] [/C][C]10[/C][C]11[/C][C]12[/C][C]13[/C][C]14[/C][C]15[/C][C]16[/C][C]17[/C][C]18[/C][C]19[/C][C]20[/C][C]6[/C][C]7[/C][C]8[/C][C]9[/C][/ROW] [C]0[/C][C]0.2[/C][C]0.18[/C][C]0.34[/C][C]0.38[/C][C]0.7[/C][C]0.77[/C][C]1.4[/C][C]0.29[/C][C]0.14[/C][C]0.14[/C][C]0.11[/C][C]0.02[/C][C]0.09[/C][C]0.13[/C][C]0.11[/C][/ROW] [C]0.5[/C][C]0.2[/C][C]0.18[/C][C]0.34[/C][C]0.38[/C][C]0.7[/C][C]0.77[/C][C]1.4[/C][C]0.29[/C][C]0.14[/C][C]0.14[/C][C]0.11[/C][C]0.02[/C][C]0.09[/C][C]0.13[/C][C]0.11[/C][/ROW] [C]1[/C][C]0.24[/C][C]0.22[/C][C]0.41[/C][C]0.45[/C][C]0.84[/C][C]0.93[/C][C]1.68[/C][C]0.35[/C][C]0.17[/C][C]0.17[/C][C]0.13[/C][C]0.02[/C][C]0.11[/C][C]0.15[/C][C]0.13[/C][/ROW] [C]1.5[/C][C]0.16[/C][C]0.14[/C][C]0.27[/C][C]0.3[/C][C]0.56[/C][C]0.62[/C][C]1.12[/C][C]0.23[/C][C]0.12[/C][C]0.12[/C][C]0.09[/C][C]0.01[/C][C]0.07[/C][C]0.1[/C][C]0.09[/C][/ROW] [C]10[/C][C]0.47[/C][C]0.43[/C][C]0.82[/C][C]0.91[/C][C]1.68[/C][C]1.86[/C][C]3.37[/C][C]0.69[/C][C]0.35[/C][C]0.35[/C][C]0.26[/C][C]0.04[/C][C]0.22[/C][C]0.3[/C][C]0.26[/C][/ROW] [C]10.5[/C][C]0.16[/C][C]0.14[/C][C]0.27[/C][C]0.3[/C][C]0.56[/C][C]0.62[/C][C]1.12[/C][C]0.23[/C][C]0.12[/C][C]0.12[/C][C]0.09[/C][C]0.01[/C][C]0.07[/C][C]0.1[/C][C]0.09[/C][/ROW] [C]2[/C][C]0.08[/C][C]0.07[/C][C]0.14[/C][C]0.15[/C][C]0.28[/C][C]0.31[/C][C]0.56[/C][C]0.12[/C][C]0.06[/C][C]0.06[/C][C]0.04[/C][C]0.01[/C][C]0.04[/C][C]0.05[/C][C]0.04[/C][/ROW] [C]2.5[/C][C]0.32[/C][C]0.29[/C][C]0.55[/C][C]0.6[/C][C]1.12[/C][C]1.24[/C][C]2.24[/C][C]0.46[/C][C]0.23[/C][C]0.23[/C][C]0.17[/C][C]0.03[/C][C]0.14[/C][C]0.2[/C][C]0.17[/C][/ROW] [C]3[/C][C]0.24[/C][C]0.22[/C][C]0.41[/C][C]0.45[/C][C]0.84[/C][C]0.93[/C][C]1.68[/C][C]0.35[/C][C]0.17[/C][C]0.17[/C][C]0.13[/C][C]0.02[/C][C]0.11[/C][C]0.15[/C][C]0.13[/C][/ROW] [C]3.5[/C][C]0.55[/C][C]0.5[/C][C]0.96[/C][C]1.06[/C][C]1.96[/C][C]2.17[/C][C]3.93[/C][C]0.81[/C][C]0.4[/C][C]0.4[/C][C]0.3[/C][C]0.05[/C][C]0.25[/C][C]0.35[/C][C]0.3[/C][/ROW] [C]4[/C][C]0.32[/C][C]0.29[/C][C]0.55[/C][C]0.6[/C][C]1.12[/C][C]1.24[/C][C]2.24[/C][C]0.46[/C][C]0.23[/C][C]0.23[/C][C]0.17[/C][C]0.03[/C][C]0.14[/C][C]0.2[/C][C]0.17[/C][/ROW] [C]4.5[/C][C]0.63[/C][C]0.58[/C][C]1.09[/C][C]1.21[/C][C]2.24[/C][C]2.47[/C][C]4.49[/C][C]0.92[/C][C]0.46[/C][C]0.46[/C][C]0.35[/C][C]0.06[/C][C]0.29[/C][C]0.4[/C][C]0.35[/C][/ROW] [C]5[/C][C]0.79[/C][C]0.72[/C][C]1.37[/C][C]1.51[/C][C]2.81[/C][C]3.09[/C][C]5.61[/C][C]1.15[/C][C]0.58[/C][C]0.58[/C][C]0.43[/C][C]0.07[/C][C]0.36[/C][C]0.5[/C][C]0.43[/C][/ROW] [C]5.5[/C][C]0.75[/C][C]0.68[/C][C]1.3[/C][C]1.44[/C][C]2.67[/C][C]2.94[/C][C]5.33[/C][C]1.09[/C][C]0.55[/C][C]0.55[/C][C]0.41[/C][C]0.07[/C][C]0.34[/C][C]0.48[/C][C]0.41[/C][/ROW] [C]6[/C][C]0.71[/C][C]0.65[/C][C]1.23[/C][C]1.36[/C][C]2.53[/C][C]2.78[/C][C]5.05[/C][C]1.04[/C][C]0.52[/C][C]0.52[/C][C]0.39[/C][C]0.06[/C][C]0.32[/C][C]0.45[/C][C]0.39[/C][/ROW] [C]6.5[/C][C]0.71[/C][C]0.65[/C][C]1.23[/C][C]1.36[/C][C]2.53[/C][C]2.78[/C][C]5.05[/C][C]1.04[/C][C]0.52[/C][C]0.52[/C][C]0.39[/C][C]0.06[/C][C]0.32[/C][C]0.45[/C][C]0.39[/C][/ROW] [C]7[/C][C]0.79[/C][C]0.72[/C][C]1.37[/C][C]1.51[/C][C]2.81[/C][C]3.09[/C][C]5.61[/C][C]1.15[/C][C]0.58[/C][C]0.58[/C][C]0.43[/C][C]0.07[/C][C]0.36[/C][C]0.5[/C][C]0.43[/C][/ROW] [C]7.5[/C][C]0.87[/C][C]0.79[/C][C]1.5[/C][C]1.66[/C][C]3.09[/C][C]3.4[/C][C]6.17[/C][C]1.27[/C][C]0.63[/C][C]0.63[/C][C]0.47[/C][C]0.08[/C][C]0.4[/C][C]0.55[/C][C]0.47[/C][/ROW] [C]8[/C][C]0.91[/C][C]0.83[/C][C]1.57[/C][C]1.74[/C][C]3.23[/C][C]3.56[/C][C]6.45[/C][C]1.32[/C][C]0.66[/C][C]0.66[/C][C]0.5[/C][C]0.08[/C][C]0.41[/C][C]0.58[/C][C]0.5[/C][/ROW] [C]8.5[/C][C]0.75[/C][C]0.68[/C][C]1.3[/C][C]1.44[/C][C]2.67[/C][C]2.94[/C][C]5.33[/C][C]1.09[/C][C]0.55[/C][C]0.55[/C][C]0.41[/C][C]0.07[/C][C]0.34[/C][C]0.48[/C][C]0.41[/C][/ROW] [C]9[/C][C]0.63[/C][C]0.58[/C][C]1.09[/C][C]1.21[/C][C]2.24[/C][C]2.47[/C][C]4.49[/C][C]0.92[/C][C]0.46[/C][C]0.46[/C][C]0.35[/C][C]0.06[/C][C]0.29[/C][C]0.4[/C][C]0.35[/C][/ROW] [C]9.5[/C][C]0.51[/C][C]0.47[/C][C]0.89[/C][C]0.98[/C][C]1.82[/C][C]2.01[/C][C]3.65[/C][C]0.75[/C][C]0.37[/C][C]0.37[/C][C]0.28[/C][C]0.05[/C][C]0.23[/C][C]0.33[/C][C]0.28[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=263523&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263523&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tabulation of Expected Results
Ex x CONFSTATTOT
10111213141516171819206789
00.20.180.340.380.70.771.40.290.140.140.110.020.090.130.11
0.50.20.180.340.380.70.771.40.290.140.140.110.020.090.130.11
10.240.220.410.450.840.931.680.350.170.170.130.020.110.150.13
1.50.160.140.270.30.560.621.120.230.120.120.090.010.070.10.09
100.470.430.820.911.681.863.370.690.350.350.260.040.220.30.26
10.50.160.140.270.30.560.621.120.230.120.120.090.010.070.10.09
20.080.070.140.150.280.310.560.120.060.060.040.010.040.050.04
2.50.320.290.550.61.121.242.240.460.230.230.170.030.140.20.17
30.240.220.410.450.840.931.680.350.170.170.130.020.110.150.13
3.50.550.50.961.061.962.173.930.810.40.40.30.050.250.350.3
40.320.290.550.61.121.242.240.460.230.230.170.030.140.20.17
4.50.630.581.091.212.242.474.490.920.460.460.350.060.290.40.35
50.790.721.371.512.813.095.611.150.580.580.430.070.360.50.43
5.50.750.681.31.442.672.945.331.090.550.550.410.070.340.480.41
60.710.651.231.362.532.785.051.040.520.520.390.060.320.450.39
6.50.710.651.231.362.532.785.051.040.520.520.390.060.320.450.39
70.790.721.371.512.813.095.611.150.580.580.430.070.360.50.43
7.50.870.791.51.663.093.46.171.270.630.630.470.080.40.550.47
80.910.831.571.743.233.566.451.320.660.660.50.080.410.580.5
8.50.750.681.31.442.672.945.331.090.550.550.410.070.340.480.41
90.630.581.091.212.242.474.490.920.460.460.350.060.290.40.35
9.50.510.470.890.981.822.013.650.750.370.370.280.050.230.330.28







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic299.63
Degrees of Freedom294
P value0.4

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 299.63 \tabularnewline
Degrees of Freedom & 294 \tabularnewline
P value & 0.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263523&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]299.63[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]294[/C][/ROW]
[ROW][C]P value[/C][C]0.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263523&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263523&T=3

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic299.63
Degrees of Freedom294
P value0.4



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')