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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 and McNemar Tests
Date of computationFri, 10 Dec 2010 15:39:36 +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/2010/Dec/10/t12919958048oew9hoviqinush.htm/, Retrieved Mon, 29 Apr 2024 10:35:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107779, Retrieved Mon, 29 Apr 2024 10:35:43 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Chi-Squared and McNemar Tests] [] [2010-12-10 15:39:36] [39ab8462d2190635c809d7a35eacc961] [Current]
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Dataseries X:
30	1
5	1
5	0
30	0
25	0
50	1
65	1
40	0
55	1
75	0
50	0
20	1
25	1
30	1
80	1
	0
25	0
50	1
35	1
40	0
40	1
50	1
30	1
45	1
30	1
25	0
25	1
20	1
35	1
30	1
45	0
40	1
30	1
60	1
45	0
45	1
25	1
	1
45	0
50	0
	0
45	1
60	1
60	1
45	1
45	0
	0
45	1
55	1
40	1
60	1
35	0
30	0
20	0
15	1
15	1
40	1
40	1
50	0
	1
40	0
80	1
50	0
50	1
30	1
35	1
40	1
30	1
45	1
	1
	0
30	0
30	1
25	1
	0
50	0
40	1
40	0
65	1
55	1
	0
70	0
40	1
65	1
40	0
40	1
55	1
30	1
35	1
35	0
30	1
35	1
20	1
55	1
5	1
55	1
50	0
30	1
50	1
50	1
50	1
40	0
25	1
40	1
55	1
40	0
	0
	1
	1
40	1
30	0
25	1
30	1
25	1
20	0
65	0
60	1
30	1
0	0
50	1
45	1
	1
25	1
60	1
50	1
	0
40	0
35	1
50	0
35	1
25	1
45	1
25	0
50	1
	1
75	0
55	1
20	1
40	0
60	1
25	1
45	1
50	0
25	1
25	1
50	1
50	1
	0
45	0
35	1
40	0
30	1
	1
25	1
55	0
55	1
45	0
	0
55	0
20	1
45	1
55	1
45	0
35	1
35	1
40	1
	0
35	1
40	1
50	0
50	1
50	0
50	0
35	0
60	0
45	0
	1
45	1
45	1
	0
40	1
50	1
30	1
35	1
	0
45	0
55	1
20	1
55	1
30	0
25	1
30	0
60	1
15	1
30	0
20	1
	1
20	0
20	1
25	1
50	0
55	0
40	1
30	0
	1
65	0
45	0
35	1
40	1
30	1
55	0
50	0
40	0
35	1
25	1
60	0
20	1
65	0
40	1
	1
25	1
65	0
30	0
	0
50	0
25	0
30	0
25	1
20	0
20	1
30	1
55	1
50	0
60	1
40	0
	1
25	0
	0
45	1
35	0
45	1
	0
35	1
50	0
40	0
35	1
55	0
55	1
35	0
15	1
20	1
25	1
65	0
50	1
	1
25	1
	1
35	1
30	1
35	1
40	1
35	1
50	0
40	1
60	1
30	1
60	0
60	0
25	0
	0
20	1
25	1
25	1
10	1
45	1
40	1
60	0
	1
35	1
65	0
55	1
45	1
55	1
	0
65	1
70	0
65	0
65	0
50	1
20	1
55	0
40	1
50	1
	1
50	0
20	1
40	1
	1
35	1
40	0
65	0
50	0
35	1
65	0
60	1
60	0
55	0
25	0
55	1
35	1
60	0
45	1
50	0
30	0
50	1
25	1
55	0
25	1
	0
35	1
	1
65	0
40	1
30	0
30	1
30	0
20	0
25	0
35	0
40	1
60	0
20	0
25	0
40	1
30	0
55	0
35	1
20	1
30	0
5	1
5	1
15	1
40	1
35	1
20	1
25	0
30	0
45	0
30	0
25	1
15	1
60	0
40	1
20	1
25	0
40	1
25	0
45	0
45	1
5	1
30	1
25	1
35	1
	0
20	0
45	0
55	0
55	0
40	0
30	0
25	1
45	1
30	0
30	1
30	0
30	0
25	1
10	1
35	0
35	1
25	1
30	0
	0
25	0
	0
10	1
20	0
50	1
30	1
35	0
20	0
30	0
25	1
25	0
20	0
20	1
35	1
55	0
10	1
45	0
35	1
30	1
30	1
25	0
25	0
20	0
40	0
30	1
20	0
40	0
	0
40	0
35	0
40	0
35	0
35	1
20	0
30	0
50	0
25	0
25	0
25	0
25	0
35	0
30	0
55	0
30	0
5	1
25	1
45	0
10	1
30	0
65	1
30	0
10	1
45	0
45	1
25	1
25	1
50	0
50	1
55	1
25	0
35	0
25	0
20	0
20	1
25	0
40	0
55	1
50	0
45	0
30	1
25	0
45	1
65	0
60	0
35	0
20	1
45	0
25	1
50	0
25	0
25	0
35	0
25	1
35	0
25	1
25	0
	1
35	0
45	1
60	0
	0
35	0
30	0
30	0
	0
5	1
5	1
25	0
25	1
20	1
	1
35	1
40	0
25	0
65	0
50	0
45	1
60	0
	0
5	1
35	0
25	1
	0
30	0
40	0
35	0
30	0
50	0
15	1
45	1
20	1
40	0
50	0
70	0
30	0
55	0
40	0
20	0
65	0
35	0
15	1
5	1
5	1
40	0
30	0
20	0
30	0
20	1
30	1
40	0
25	1
	1
25	0
30	1
30	0
	0
50	1
20	0
	0
45	0
25	1
20	1
45	0
35	1
35	0
30	1
30	0
5	1
10	1
35	1
40	0
35	0
30	1
30	1
25	0
5	1
5	1
25	1
50	1
20	0
25	1
30	0
25	0
30	0
25	1
20	1
20	1
30	1
60	0
30	1
35	0
40	1
25	0
45	0
25	0
20	0
15	0
50	1
25	0
30	1
30	1
30	0
30	0
40	0
35	1
30	0
25	0
35	1
	0
15	1
40	1
35	1
30	0
30	1
5	1
5	1
30	1
5	1
5	1
40	0
35	1
70	0
	0
35	1
	1
30	1
25	0
45	0
15	0
20	0
35	1
20	1
25	1
20	1
20	1
30	0
30	0
40	0
5	1
20	1
30	1
30	0
20	0
25	0
25	0
35	0
20	0
35	0
20	1
5	0
10	0
5	0
20	1
40	0
10	0
15	0
40	0
30	1
30	0
40	0
20	0
30	0
25	0
20	0
25	0
35	0
5	0
10	0
5	1
15	0
5	1
40	0
25	1
40	1
45	1
25	0
25	0
20	0
30	0
25	0
15	1
20	0
35	0
35	1
5	1
5	1
5	1
25	1
20	1
40	0
30	0
20	1
20	0
45	0
30	0
25	0
20	0
30	0
25	0
	0
20	0
35	1
25	0
20	0
30	0
10	0
10	0
	0
	0
	0
40	0
35	0
25	0
25	1
20	0
30	0
25	0
25	0
35	0
20	0
25	1
20	0
20	0
25	0
30	0
20	0
40	0
20	0
20	0
25	0
25	0
25	0
	0
	0
30	0
25	0
20	1
40	0
30	0
25	0
25	0
35	1
30	0
30	0
20	0
20	0
20	1
25	0
40	0
25	0
35	0
35	0
25	1
30	0
75	0
45	0
35	0
30	0
20	0
30	0
10	1
5	1
40	1
60	0
20	0
20	1
45	0
20	0
25	0
45	1
25	0
20	0
30	1
30	1
5	0
35	0
30	0
30	0
25	0
25	0
25	0
25	0
20	0
	0
	1
40	1
40	1
30	1
20	0
5	1
5	1
30	0
35	1
25	0
	0
	0
25	0
40	0
20	1
20	0
45	0
45	0
	0
35	0
20	1
30	1
25	0
25	1
35	0
65	0
25	1
25	0
25	1
20	0
20	0
45	0
	0
40	0
20	0
15	0
50	0
5	1
	0
45	0
45	0
	1
20	0
	0
	0
	0
30	0
	0
	1
25	0
10	0
	0
20	0
20	0
50	0
	0
	0
25	0
	0
	0
25	0
20	1
	1
10	1
35	0
45	0
35	1
40	0
10	0
5	0
15	0
10	0
20	0
15	0
40	0
45	0
55	0
35	0
	0
20	0
40	0
30	0
20	0
25	0
20	0
	0
	0
30	0
25	1
20	0
25	0
45	0
30	0
25	0
45	1
	0
25	0
	0
15	0
	1
30	1
	1
20	0
30	1
25	0
25	1
30	0
30	0
	0
5	1
25	1
45	0
30	0
30	1
	0
	1
45	0
	1
30	0
	0
30	0
25	0
	0
30	1
25	1
	0
20	0
50	0
20	0
	1
	1
35	0
30	1
25	0
35	0
35	0
30	0
5	1
5	1
50	0
35	0
20	0
30	1
	0
	0
	0
	0
25	0
35	1
30	0
20	0
25	0
35	1
20	0
25	0
30	0
25	1
35	0
25	0
5	1
40	1
	0
20	0
	0
	0
	1
	1
35	0
45	0
	1
	0
	0
	0
	0
	0
25	0
30	0
5	1
30	1
30	1
5	0
20	0
40	0
	0
25	1
	0
40	0
	0
	1
	0
25	1
	0
30	1
30	0
30	0
25	0
25	1
	0
	0
	0
	0
	0
35	0
35	0
	0
	0
40	0
40	0
25	0
25	0
45	0
40	0
30	0
20	1
	0
30	0
	0
30	0
30	0
	0
25	0
30	1
55	0
25	1
35	1
	0
	0
	1
25	1
25	0
	0
	0
	0
30	0
	1
35	0
	1
	0
35	0
35	0
	1
	0
	1
	1
	1
	1
	1
	1
	0
	1
15	1
35	0
	0
25	0
20	0
	0
	0
	0
60	0
	0
25	1
	0
25	0
25	0
30	0
	0
	1
25	0
10	1
30	1
	0
	1
	0
	0
35	0
	0
	1
	1
	1
	1
	1
	0
	1
25	1
	0
	1
	1
	1
20	0
25	0
15	1
5	1
20	1
20	1
35	0
	0
	0
	0
	0
15	1
15	1
30	0
30	0
20	1
30	1
25	0
45	0
40	1
25	0
30	0
25	1
65	0
	0
	0
	1
	0
	0
	0
25	0
	0
	1
	1
25	1
	1
	1
10	1
30	0
45	0
	0
35	0
30	0
35	1
20	0
25	0
20	0
20	0
20	0
35	1
0	0
5	0
10	0
5	0
10	0
30	0
5	0
10	0
5	0
20	0
15	0
45	0
25	0
20	0
	0
35	0
5	0
5	0
30	0
	0
	0
	0
25	0
25	0
25	0
25	1
	1
	1
	1
	0
25	0
30	0
20	0
0	0
25	0
20	0
35	1
	0
20	0
25	0
	0
	0
	0
	0
40	0
25	0
10	0
5	0
10	0
5	0
10	0
40	0
25	0
35	0
	1
	0
	0
50	0
50	0
	0
	0
5	0
20	0
45	0
	1
50	0
20	0
	1
	0
	0
25	0
	0
	0
	0
40	0
	0
15	0
	0
	0
	0
	0
	0
	0
	0
	0
	0
25	0
25	1
40	0
	0
	0
	0
5	1
25	1
5	1
25	1
20	0
25	0
	0
	0
	0
30	1
	0
	1
	0
	0
25	0
	0
40	0
25	0
20	1
5	0
10	0
10	0
5	0
40	0
45	0
	0
	0
	0
	0
	1
20	0
30	0
	0
35	0
	0
35	0
25	1
25	0
65	0
20	0
25	0
35	1
30	0
5	0
30	0
20	1
45	1
25	0
75	0
15	1
25	0
25	1
35	0
5	1
	0
	0
	0
20	1
	0
	0
	1
35	0
	0
	0
35	0
45	0
0	0
25	1
	0
10	1
10	1
30	1
40	0
20	1
65	1
	0
15	0
45	0
10	0
40	0
30	0
	0
35	0
30	0
30	0
50	0
20	0
35	0
20	0
35	0
25	1
20	0
15	0
25	0
25	0
	0
	0
	0
35	0
40	1
55	0
20	0
25	0
50	1
	0
	0
	0
30	0
25	0
30	0
0	0
40	0
30	0
15	1
50	0
	0
	0
15	0
	0
30	0
30	0
	0




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
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 & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \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=107779&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/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=107779&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107779&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 time9 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
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
age x survived
015101520253035404550556065707580
0761715141234534336231817953101
12921943213836282117221097021
511240000000000000000
10750000000000000000
156100000000000000000
2052310000000000000000
2574430000000000000000
3068360000000000000000
3532280000000000000000
4042280000000000000000
4525240000000000000000
5022160000000000000000
5510150000000000000000
60990000000000000000
651250000000000000000
70400000000000000000
75400000000000000000
80020000000000000000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline age x survived \tabularnewline & 0 & 1 & 5 & 10 & 15 & 20 & 25 & 30 & 35 & 40 & 45 & 50 & 55 & 60 & 65 & 70 & 75 & 80 \tabularnewline 0 & 76 & 17 & 15 & 14 & 12 & 34 & 53 & 43 & 36 & 23 & 18 & 17 & 9 & 5 & 3 & 1 & 0 & 1 \tabularnewline 1 & 29 & 21 & 9 & 4 & 3 & 21 & 38 & 36 & 28 & 21 & 17 & 22 & 10 & 9 & 7 & 0 & 2 & 1 \tabularnewline 5 & 11 & 24 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 10 & 7 & 5 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 15 & 6 & 10 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 20 & 52 & 31 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 25 & 74 & 43 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 30 & 68 & 36 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 35 & 32 & 28 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 40 & 42 & 28 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 45 & 25 & 24 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 50 & 22 & 16 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 55 & 10 & 15 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 60 & 9 & 9 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 65 & 12 & 5 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 70 & 4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 75 & 4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline 80 & 0 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=107779&T=1

[TABLE]
[ROW]
Tabulation of Results[/C][/ROW] [ROW]age x survived [/C][/ROW] [ROW][C] [/C][C]0[/C][C]1[/C][C]5[/C][C]10[/C][C]15[/C][C]20[/C][C]25[/C][C]30[/C][C]35[/C][C]40[/C][C]45[/C][C]50[/C][C]55[/C][C]60[/C][C]65[/C][C]70[/C][C]75[/C][C]80[/C][/ROW] [C]0[/C][C]76[/C][C]17[/C][C]15[/C][C]14[/C][C]12[/C][C]34[/C][C]53[/C][C]43[/C][C]36[/C][C]23[/C][C]18[/C][C]17[/C][C]9[/C][C]5[/C][C]3[/C][C]1[/C][C]0[/C][C]1[/C][/ROW] [C]1[/C][C]29[/C][C]21[/C][C]9[/C][C]4[/C][C]3[/C][C]21[/C][C]38[/C][C]36[/C][C]28[/C][C]21[/C][C]17[/C][C]22[/C][C]10[/C][C]9[/C][C]7[/C][C]0[/C][C]2[/C][C]1[/C][/ROW] [C]5[/C][C]11[/C][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][/ROW] [C]10[/C][C]7[/C][C]5[/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]15[/C][C]6[/C][C]10[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]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]52[/C][C]31[/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]25[/C][C]74[/C][C]43[/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]30[/C][C]68[/C][C]36[/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]35[/C][C]32[/C][C]28[/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]40[/C][C]42[/C][C]28[/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]45[/C][C]25[/C][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][/ROW] [C]50[/C][C]22[/C][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]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]55[/C][C]10[/C][C]15[/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]60[/C][C]9[/C][C]9[/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]65[/C][C]12[/C][C]5[/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]70[/C][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]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]75[/C][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]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [C]80[/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]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] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=107779&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107779&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
age x survived
015101520253035404550556065707580
0761715141234534336231817953101
12921943213836282117221097021
511240000000000000000
10750000000000000000
156100000000000000000
2052310000000000000000
2574430000000000000000
3068360000000000000000
3532280000000000000000
4042280000000000000000
4525240000000000000000
5022160000000000000000
5510150000000000000000
60990000000000000000
651250000000000000000
70400000000000000000
75400000000000000000
80020000000000000000







Tabulation of Expected Results
age x survived
015101520253035404550556065707580
0139.1190.436.915.184.3215.8426.2122.7518.4312.6710.0811.235.474.032.880.290.580.58
1102.5866.695.13.823.1911.6819.3316.7813.599.347.438.284.042.972.120.210.420.42
512.918.40.640.480.41.472.432.111.711.180.941.040.510.370.270.030.050.05
104.432.880.220.170.140.50.830.720.590.40.320.360.170.130.090.010.020.02
155.93.840.290.220.180.671.110.970.780.540.430.480.230.170.120.010.020.02
2030.6319.911.521.140.953.495.775.014.062.792.222.471.20.890.630.060.130.13
2543.1728.072.151.611.344.928.137.065.723.933.133.491.71.250.890.090.180.18
3038.3724.951.911.431.194.377.236.285.083.52.783.11.511.110.790.080.160.16
3522.1414.391.10.830.692.524.173.622.932.021.61.790.870.640.460.050.090.09
4025.8316.791.280.960.82.944.874.223.422.351.872.091.020.750.530.050.110.11
4518.0811.750.90.670.562.063.412.962.41.651.311.460.710.520.370.040.070.07
5014.029.120.70.520.441.62.642.291.861.281.021.130.550.410.290.030.060.06
559.2260.460.340.291.051.741.511.220.840.670.740.360.270.190.020.040.04
606.644.320.330.250.210.761.251.090.880.610.480.540.260.190.140.010.030.03
656.274.080.310.230.190.711.181.030.830.570.450.510.250.180.130.010.030.03
701.480.960.070.060.050.170.280.240.20.130.110.120.060.040.0300.010.01
751.480.960.070.060.050.170.280.240.20.130.110.120.060.040.0300.010.01
800.740.480.040.030.020.080.140.120.10.070.050.060.030.020.02000

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline age x survived \tabularnewline & 0 & 1 & 5 & 10 & 15 & 20 & 25 & 30 & 35 & 40 & 45 & 50 & 55 & 60 & 65 & 70 & 75 & 80 \tabularnewline 0 & 139.11 & 90.43 & 6.91 & 5.18 & 4.32 & 15.84 & 26.21 & 22.75 & 18.43 & 12.67 & 10.08 & 11.23 & 5.47 & 4.03 & 2.88 & 0.29 & 0.58 & 0.58 \tabularnewline 1 & 102.58 & 66.69 & 5.1 & 3.82 & 3.19 & 11.68 & 19.33 & 16.78 & 13.59 & 9.34 & 7.43 & 8.28 & 4.04 & 2.97 & 2.12 & 0.21 & 0.42 & 0.42 \tabularnewline 5 & 12.91 & 8.4 & 0.64 & 0.48 & 0.4 & 1.47 & 2.43 & 2.11 & 1.71 & 1.18 & 0.94 & 1.04 & 0.51 & 0.37 & 0.27 & 0.03 & 0.05 & 0.05 \tabularnewline 10 & 4.43 & 2.88 & 0.22 & 0.17 & 0.14 & 0.5 & 0.83 & 0.72 & 0.59 & 0.4 & 0.32 & 0.36 & 0.17 & 0.13 & 0.09 & 0.01 & 0.02 & 0.02 \tabularnewline 15 & 5.9 & 3.84 & 0.29 & 0.22 & 0.18 & 0.67 & 1.11 & 0.97 & 0.78 & 0.54 & 0.43 & 0.48 & 0.23 & 0.17 & 0.12 & 0.01 & 0.02 & 0.02 \tabularnewline 20 & 30.63 & 19.91 & 1.52 & 1.14 & 0.95 & 3.49 & 5.77 & 5.01 & 4.06 & 2.79 & 2.22 & 2.47 & 1.2 & 0.89 & 0.63 & 0.06 & 0.13 & 0.13 \tabularnewline 25 & 43.17 & 28.07 & 2.15 & 1.61 & 1.34 & 4.92 & 8.13 & 7.06 & 5.72 & 3.93 & 3.13 & 3.49 & 1.7 & 1.25 & 0.89 & 0.09 & 0.18 & 0.18 \tabularnewline 30 & 38.37 & 24.95 & 1.91 & 1.43 & 1.19 & 4.37 & 7.23 & 6.28 & 5.08 & 3.5 & 2.78 & 3.1 & 1.51 & 1.11 & 0.79 & 0.08 & 0.16 & 0.16 \tabularnewline 35 & 22.14 & 14.39 & 1.1 & 0.83 & 0.69 & 2.52 & 4.17 & 3.62 & 2.93 & 2.02 & 1.6 & 1.79 & 0.87 & 0.64 & 0.46 & 0.05 & 0.09 & 0.09 \tabularnewline 40 & 25.83 & 16.79 & 1.28 & 0.96 & 0.8 & 2.94 & 4.87 & 4.22 & 3.42 & 2.35 & 1.87 & 2.09 & 1.02 & 0.75 & 0.53 & 0.05 & 0.11 & 0.11 \tabularnewline 45 & 18.08 & 11.75 & 0.9 & 0.67 & 0.56 & 2.06 & 3.41 & 2.96 & 2.4 & 1.65 & 1.31 & 1.46 & 0.71 & 0.52 & 0.37 & 0.04 & 0.07 & 0.07 \tabularnewline 50 & 14.02 & 9.12 & 0.7 & 0.52 & 0.44 & 1.6 & 2.64 & 2.29 & 1.86 & 1.28 & 1.02 & 1.13 & 0.55 & 0.41 & 0.29 & 0.03 & 0.06 & 0.06 \tabularnewline 55 & 9.22 & 6 & 0.46 & 0.34 & 0.29 & 1.05 & 1.74 & 1.51 & 1.22 & 0.84 & 0.67 & 0.74 & 0.36 & 0.27 & 0.19 & 0.02 & 0.04 & 0.04 \tabularnewline 60 & 6.64 & 4.32 & 0.33 & 0.25 & 0.21 & 0.76 & 1.25 & 1.09 & 0.88 & 0.61 & 0.48 & 0.54 & 0.26 & 0.19 & 0.14 & 0.01 & 0.03 & 0.03 \tabularnewline 65 & 6.27 & 4.08 & 0.31 & 0.23 & 0.19 & 0.71 & 1.18 & 1.03 & 0.83 & 0.57 & 0.45 & 0.51 & 0.25 & 0.18 & 0.13 & 0.01 & 0.03 & 0.03 \tabularnewline 70 & 1.48 & 0.96 & 0.07 & 0.06 & 0.05 & 0.17 & 0.28 & 0.24 & 0.2 & 0.13 & 0.11 & 0.12 & 0.06 & 0.04 & 0.03 & 0 & 0.01 & 0.01 \tabularnewline 75 & 1.48 & 0.96 & 0.07 & 0.06 & 0.05 & 0.17 & 0.28 & 0.24 & 0.2 & 0.13 & 0.11 & 0.12 & 0.06 & 0.04 & 0.03 & 0 & 0.01 & 0.01 \tabularnewline 80 & 0.74 & 0.48 & 0.04 & 0.03 & 0.02 & 0.08 & 0.14 & 0.12 & 0.1 & 0.07 & 0.05 & 0.06 & 0.03 & 0.02 & 0.02 & 0 & 0 & 0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=107779&T=2

[TABLE]
[ROW]
Tabulation of Expected Results[/C][/ROW] [ROW]age x survived [/C][/ROW] [ROW][C] [/C][C]0[/C][C]1[/C][C]5[/C][C]10[/C][C]15[/C][C]20[/C][C]25[/C][C]30[/C][C]35[/C][C]40[/C][C]45[/C][C]50[/C][C]55[/C][C]60[/C][C]65[/C][C]70[/C][C]75[/C][C]80[/C][/ROW] [C]0[/C][C]139.11[/C][C]90.43[/C][C]6.91[/C][C]5.18[/C][C]4.32[/C][C]15.84[/C][C]26.21[/C][C]22.75[/C][C]18.43[/C][C]12.67[/C][C]10.08[/C][C]11.23[/C][C]5.47[/C][C]4.03[/C][C]2.88[/C][C]0.29[/C][C]0.58[/C][C]0.58[/C][/ROW] [C]1[/C][C]102.58[/C][C]66.69[/C][C]5.1[/C][C]3.82[/C][C]3.19[/C][C]11.68[/C][C]19.33[/C][C]16.78[/C][C]13.59[/C][C]9.34[/C][C]7.43[/C][C]8.28[/C][C]4.04[/C][C]2.97[/C][C]2.12[/C][C]0.21[/C][C]0.42[/C][C]0.42[/C][/ROW] [C]5[/C][C]12.91[/C][C]8.4[/C][C]0.64[/C][C]0.48[/C][C]0.4[/C][C]1.47[/C][C]2.43[/C][C]2.11[/C][C]1.71[/C][C]1.18[/C][C]0.94[/C][C]1.04[/C][C]0.51[/C][C]0.37[/C][C]0.27[/C][C]0.03[/C][C]0.05[/C][C]0.05[/C][/ROW] [C]10[/C][C]4.43[/C][C]2.88[/C][C]0.22[/C][C]0.17[/C][C]0.14[/C][C]0.5[/C][C]0.83[/C][C]0.72[/C][C]0.59[/C][C]0.4[/C][C]0.32[/C][C]0.36[/C][C]0.17[/C][C]0.13[/C][C]0.09[/C][C]0.01[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]15[/C][C]5.9[/C][C]3.84[/C][C]0.29[/C][C]0.22[/C][C]0.18[/C][C]0.67[/C][C]1.11[/C][C]0.97[/C][C]0.78[/C][C]0.54[/C][C]0.43[/C][C]0.48[/C][C]0.23[/C][C]0.17[/C][C]0.12[/C][C]0.01[/C][C]0.02[/C][C]0.02[/C][/ROW] [C]20[/C][C]30.63[/C][C]19.91[/C][C]1.52[/C][C]1.14[/C][C]0.95[/C][C]3.49[/C][C]5.77[/C][C]5.01[/C][C]4.06[/C][C]2.79[/C][C]2.22[/C][C]2.47[/C][C]1.2[/C][C]0.89[/C][C]0.63[/C][C]0.06[/C][C]0.13[/C][C]0.13[/C][/ROW] [C]25[/C][C]43.17[/C][C]28.07[/C][C]2.15[/C][C]1.61[/C][C]1.34[/C][C]4.92[/C][C]8.13[/C][C]7.06[/C][C]5.72[/C][C]3.93[/C][C]3.13[/C][C]3.49[/C][C]1.7[/C][C]1.25[/C][C]0.89[/C][C]0.09[/C][C]0.18[/C][C]0.18[/C][/ROW] [C]30[/C][C]38.37[/C][C]24.95[/C][C]1.91[/C][C]1.43[/C][C]1.19[/C][C]4.37[/C][C]7.23[/C][C]6.28[/C][C]5.08[/C][C]3.5[/C][C]2.78[/C][C]3.1[/C][C]1.51[/C][C]1.11[/C][C]0.79[/C][C]0.08[/C][C]0.16[/C][C]0.16[/C][/ROW] [C]35[/C][C]22.14[/C][C]14.39[/C][C]1.1[/C][C]0.83[/C][C]0.69[/C][C]2.52[/C][C]4.17[/C][C]3.62[/C][C]2.93[/C][C]2.02[/C][C]1.6[/C][C]1.79[/C][C]0.87[/C][C]0.64[/C][C]0.46[/C][C]0.05[/C][C]0.09[/C][C]0.09[/C][/ROW] [C]40[/C][C]25.83[/C][C]16.79[/C][C]1.28[/C][C]0.96[/C][C]0.8[/C][C]2.94[/C][C]4.87[/C][C]4.22[/C][C]3.42[/C][C]2.35[/C][C]1.87[/C][C]2.09[/C][C]1.02[/C][C]0.75[/C][C]0.53[/C][C]0.05[/C][C]0.11[/C][C]0.11[/C][/ROW] [C]45[/C][C]18.08[/C][C]11.75[/C][C]0.9[/C][C]0.67[/C][C]0.56[/C][C]2.06[/C][C]3.41[/C][C]2.96[/C][C]2.4[/C][C]1.65[/C][C]1.31[/C][C]1.46[/C][C]0.71[/C][C]0.52[/C][C]0.37[/C][C]0.04[/C][C]0.07[/C][C]0.07[/C][/ROW] [C]50[/C][C]14.02[/C][C]9.12[/C][C]0.7[/C][C]0.52[/C][C]0.44[/C][C]1.6[/C][C]2.64[/C][C]2.29[/C][C]1.86[/C][C]1.28[/C][C]1.02[/C][C]1.13[/C][C]0.55[/C][C]0.41[/C][C]0.29[/C][C]0.03[/C][C]0.06[/C][C]0.06[/C][/ROW] [C]55[/C][C]9.22[/C][C]6[/C][C]0.46[/C][C]0.34[/C][C]0.29[/C][C]1.05[/C][C]1.74[/C][C]1.51[/C][C]1.22[/C][C]0.84[/C][C]0.67[/C][C]0.74[/C][C]0.36[/C][C]0.27[/C][C]0.19[/C][C]0.02[/C][C]0.04[/C][C]0.04[/C][/ROW] [C]60[/C][C]6.64[/C][C]4.32[/C][C]0.33[/C][C]0.25[/C][C]0.21[/C][C]0.76[/C][C]1.25[/C][C]1.09[/C][C]0.88[/C][C]0.61[/C][C]0.48[/C][C]0.54[/C][C]0.26[/C][C]0.19[/C][C]0.14[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][/ROW] [C]65[/C][C]6.27[/C][C]4.08[/C][C]0.31[/C][C]0.23[/C][C]0.19[/C][C]0.71[/C][C]1.18[/C][C]1.03[/C][C]0.83[/C][C]0.57[/C][C]0.45[/C][C]0.51[/C][C]0.25[/C][C]0.18[/C][C]0.13[/C][C]0.01[/C][C]0.03[/C][C]0.03[/C][/ROW] [C]70[/C][C]1.48[/C][C]0.96[/C][C]0.07[/C][C]0.06[/C][C]0.05[/C][C]0.17[/C][C]0.28[/C][C]0.24[/C][C]0.2[/C][C]0.13[/C][C]0.11[/C][C]0.12[/C][C]0.06[/C][C]0.04[/C][C]0.03[/C][C]0[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]75[/C][C]1.48[/C][C]0.96[/C][C]0.07[/C][C]0.06[/C][C]0.05[/C][C]0.17[/C][C]0.28[/C][C]0.24[/C][C]0.2[/C][C]0.13[/C][C]0.11[/C][C]0.12[/C][C]0.06[/C][C]0.04[/C][C]0.03[/C][C]0[/C][C]0.01[/C][C]0.01[/C][/ROW] [C]80[/C][C]0.74[/C][C]0.48[/C][C]0.04[/C][C]0.03[/C][C]0.02[/C][C]0.08[/C][C]0.14[/C][C]0.12[/C][C]0.1[/C][C]0.07[/C][C]0.05[/C][C]0.06[/C][C]0.03[/C][C]0.02[/C][C]0.02[/C][C]0[/C][C]0[/C][C]0[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=107779&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107779&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
age x survived
015101520253035404550556065707580
0139.1190.436.915.184.3215.8426.2122.7518.4312.6710.0811.235.474.032.880.290.580.58
1102.5866.695.13.823.1911.6819.3316.7813.599.347.438.284.042.972.120.210.420.42
512.918.40.640.480.41.472.432.111.711.180.941.040.510.370.270.030.050.05
104.432.880.220.170.140.50.830.720.590.40.320.360.170.130.090.010.020.02
155.93.840.290.220.180.671.110.970.780.540.430.480.230.170.120.010.020.02
2030.6319.911.521.140.953.495.775.014.062.792.222.471.20.890.630.060.130.13
2543.1728.072.151.611.344.928.137.065.723.933.133.491.71.250.890.090.180.18
3038.3724.951.911.431.194.377.236.285.083.52.783.11.511.110.790.080.160.16
3522.1414.391.10.830.692.524.173.622.932.021.61.790.870.640.460.050.090.09
4025.8316.791.280.960.82.944.874.223.422.351.872.091.020.750.530.050.110.11
4518.0811.750.90.670.562.063.412.962.41.651.311.460.710.520.370.040.070.07
5014.029.120.70.520.441.62.642.291.861.281.021.130.550.410.290.030.060.06
559.2260.460.340.291.051.741.511.220.840.670.740.360.270.190.020.040.04
606.644.320.330.250.210.761.251.090.880.610.480.540.260.190.140.010.030.03
656.274.080.310.230.190.711.181.030.830.570.450.510.250.180.130.010.030.03
701.480.960.070.060.050.170.280.240.20.130.110.120.060.040.0300.010.01
751.480.960.070.060.050.170.280.240.20.130.110.120.060.040.0300.010.01
800.740.480.040.030.020.080.140.120.10.070.050.060.030.020.02000







Statistical Results
Pearson's Chi-squared test
Chi Square Statistic948.5
Degrees of Freedom289
P value0

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Chi Square Statistic & 948.5 \tabularnewline
Degrees of Freedom & 289 \tabularnewline
P value & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107779&T=3

[TABLE]
[ROW][C]Statistical Results[/C][/ROW]
[ROW][C]Pearson's Chi-squared test[/C][/ROW]
[ROW][C]Chi Square Statistic[/C][C]948.5[/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=107779&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107779&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
Chi Square Statistic948.5
Degrees of Freedom289
P value0



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 != 'McNemar Chi-Squared') {
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)
a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
a<-table.row.end(a)
if(!simulate.p.value){
a<-table.row.start(a)
a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
a<-table.element(a, cst$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')