Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_chi_squared_tests.wasp
Title produced by softwareChi-Squared Test, McNemar Test, and Fisher Exact Test
Date of computationThu, 03 Sep 2015 08:27:04 +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/2015/Sep/03/t14412652364paizfwtr5n1g5m.htm/, Retrieved Thu, 16 May 2024 23:49:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=280492, Retrieved Thu, 16 May 2024 23:49:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50
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] [] [2015-09-03 07:27:04] [fd03cc0cc90b1c653b67836815ad2482] [Current]
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Dataseries X:
46.4 392 0.4
45.7 118 0.61
45.3 44 0.53
38.6 158 0.53
37.2 81 0.53
35 374 0.37
34 187 0.3
28.3 993 0.19
24.7 1723 0.12
24.7 287 0.2
24.4 970 0.19
22.7 885 0.12
22.3 200 0.53
21.7 575 0.14
21.6 688 0.34
21.3 48 0.69
21.2 572 0.49
20.8 239 0.42
20.3 244 0.48
18.9 472 0.25
18.8 134 0.52
18.6 633 0.19
18 295 0.44
17.6 906 0.24
17 1045 0.16
16.7 775 0.1
15.9 619 0.15
15.3 901 0.05
15 910 0.24
14.8 556 0.22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280492&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280492&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280492&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 time4 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Tabulation of Results
HIV_Risk x Prop_Population_on_Farms
0.050.10.120.140.150.160.190.20.220.240.250.30.340.370.40.420.440.480.490.520.530.610.69
14.800000000100000000000000
1500000000010000000000000
15.310000000000000000000000
15.900001000000000000000000
16.701000000000000000000000
1700000100000000000000000
17.600000000010000000000000
1800000000000000001000000
18.600000010000000000000000
18.800000000000000000001000
18.900000000001000000000000
20.300000000000000000100000
20.800000000000000010000000
21.200000000000000000010000
21.300000000000000000000001
21.600000000000010000000000
21.700010000000000000000000
22.300000000000000000000100
22.700100000000000000000000
24.400000010000000000000000
24.700100001000000000000000
28.300000010000000000000000
3400000000000100000000000
3500000000000001000000000
37.200000000000000000000100
38.600000000000000000000100
45.300000000000000000000100
45.700000000000000000000010
46.400000000000000100000000

\begin{tabular}{lllllllll}
\hline
Tabulation of Results \tabularnewline
HIV_Risk  x  Prop_Population_on_Farms \tabularnewline
  & 0.05 & 0.1 & 0.12 & 0.14 & 0.15 & 0.16 & 0.19 & 0.2 & 0.22 & 0.24 & 0.25 & 0.3 & 0.34 & 0.37 & 0.4 & 0.42 & 0.44 & 0.48 & 0.49 & 0.52 & 0.53 & 0.61 & 0.69 \tabularnewline
14.8 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
15 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
15.3 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
15.9 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
16.7 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
17 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
17.6 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
18 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
18.6 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
18.8 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \tabularnewline
18.9 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
20.3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 \tabularnewline
20.8 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
21.2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 \tabularnewline
21.3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \tabularnewline
21.6 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
21.7 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
22.3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
22.7 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
24.4 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
24.7 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
28.3 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
34 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
35 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
37.2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
38.6 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
45.3 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 \tabularnewline
45.7 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 \tabularnewline
46.4 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280492&T=1

[TABLE]
[ROW]Tabulation of Results[/C][/ROW]
[ROW]HIV_Risk  x  Prop_Population_on_Farms[/C][/ROW]
[ROW][C] [/C][C]0.05[/C][C]0.1[/C][C]0.12[/C][C]0.14[/C][C]0.15[/C][C]0.16[/C][C]0.19[/C][C]0.2[/C][C]0.22[/C][C]0.24[/C][C]0.25[/C][C]0.3[/C][C]0.34[/C][C]0.37[/C][C]0.4[/C][C]0.42[/C][C]0.44[/C][C]0.48[/C][C]0.49[/C][C]0.52[/C][C]0.53[/C][C]0.61[/C][C]0.69[/C][/ROW]
[C]14.8[/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]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][/ROW]
[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]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][/ROW]
[C]15.3[/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][/ROW]
[C]15.9[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]16.7[/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][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]17[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]17.6[/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]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][/ROW]
[C]18[/C][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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]18.6[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]18.8[/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]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][/ROW]
[C]18.9[/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]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]20.3[/C][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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]20.8[/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]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][/ROW]
[C]21.2[/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][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]21.3[/C][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]1[/C][/ROW]
[C]21.6[/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]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]21.7[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]22.3[/C][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]1[/C][C]0[/C][C]0[/C][/ROW]
[C]22.7[/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][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]24.4[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]24.7[/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][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]28.3[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][/ROW]
[C]34[/C][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][/ROW]
[C]35[/C][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][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]37.2[/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][C]0[/C][C]0[/C][C]0[/C][C]0[/C][C]1[/C][C]0[/C][C]0[/C][/ROW]
[C]38.6[/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]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][/ROW]
[C]45.3[/C][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]1[/C][C]0[/C][C]0[/C][/ROW]
[C]45.7[/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]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][/ROW]
[C]46.4[/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]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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280492&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280492&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
HIV_Risk x Prop_Population_on_Farms
0.050.10.120.140.150.160.190.20.220.240.250.30.340.370.40.420.440.480.490.520.530.610.69
14.800000000100000000000000
1500000000010000000000000
15.310000000000000000000000
15.900001000000000000000000
16.701000000000000000000000
1700000100000000000000000
17.600000000010000000000000
1800000000000000001000000
18.600000010000000000000000
18.800000000000000000001000
18.900000000001000000000000
20.300000000000000000100000
20.800000000000000010000000
21.200000000000000000010000
21.300000000000000000000001
21.600000000000010000000000
21.700010000000000000000000
22.300000000000000000000100
22.700100000000000000000000
24.400000010000000000000000
24.700100001000000000000000
28.300000010000000000000000
3400000000000100000000000
3500000000000001000000000
37.200000000000000000000100
38.600000000000000000000100
45.300000000000000000000100
45.700000000000000000000010
46.400000000000000100000000







Tabulation of Expected Results
HIV_Risk x Prop_Population_on_Farms
0.050.10.120.140.150.160.190.20.220.240.250.30.340.370.40.420.440.480.490.520.530.610.69
14.80.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
150.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
15.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
15.90.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
16.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
170.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
17.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
180.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
18.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
18.80.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
18.90.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
20.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
20.80.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.20.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
22.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
22.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
24.40.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
24.70.070.070.130.070.070.070.20.070.070.130.070.070.070.070.070.070.070.070.070.070.270.070.07
28.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
340.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
350.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
37.20.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
38.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
45.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
45.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
46.40.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03

\begin{tabular}{lllllllll}
\hline
Tabulation of Expected Results \tabularnewline
HIV_Risk  x  Prop_Population_on_Farms \tabularnewline
  & 0.05 & 0.1 & 0.12 & 0.14 & 0.15 & 0.16 & 0.19 & 0.2 & 0.22 & 0.24 & 0.25 & 0.3 & 0.34 & 0.37 & 0.4 & 0.42 & 0.44 & 0.48 & 0.49 & 0.52 & 0.53 & 0.61 & 0.69 \tabularnewline
14.8 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
15 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
15.3 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
15.9 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
16.7 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
17 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
17.6 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
18 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
18.6 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
18.8 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
18.9 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
20.3 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
20.8 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
21.2 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
21.3 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
21.6 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
21.7 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
22.3 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
22.7 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
24.4 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
24.7 & 0.07 & 0.07 & 0.13 & 0.07 & 0.07 & 0.07 & 0.2 & 0.07 & 0.07 & 0.13 & 0.07 & 0.07 & 0.07 & 0.07 & 0.07 & 0.07 & 0.07 & 0.07 & 0.07 & 0.07 & 0.27 & 0.07 & 0.07 \tabularnewline
28.3 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
34 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
35 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
37.2 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
38.6 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
45.3 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
45.7 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
46.4 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.1 & 0.03 & 0.03 & 0.07 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.03 & 0.13 & 0.03 & 0.03 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280492&T=2

[TABLE]
[ROW]Tabulation of Expected Results[/C][/ROW]
[ROW]HIV_Risk  x  Prop_Population_on_Farms[/C][/ROW]
[ROW][C] [/C][C]0.05[/C][C]0.1[/C][C]0.12[/C][C]0.14[/C][C]0.15[/C][C]0.16[/C][C]0.19[/C][C]0.2[/C][C]0.22[/C][C]0.24[/C][C]0.25[/C][C]0.3[/C][C]0.34[/C][C]0.37[/C][C]0.4[/C][C]0.42[/C][C]0.44[/C][C]0.48[/C][C]0.49[/C][C]0.52[/C][C]0.53[/C][C]0.61[/C][C]0.69[/C][/ROW]
[C]14.8[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]15[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]15.3[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]15.9[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]16.7[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]17[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]17.6[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]18[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]18.6[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]18.8[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]18.9[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]20.3[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]20.8[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]21.2[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]21.3[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]21.6[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]21.7[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]22.3[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]22.7[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]24.4[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]24.7[/C][C]0.07[/C][C]0.07[/C][C]0.13[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.2[/C][C]0.07[/C][C]0.07[/C][C]0.13[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.07[/C][C]0.27[/C][C]0.07[/C][C]0.07[/C][/ROW]
[C]28.3[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]34[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]35[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]37.2[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]38.6[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]45.3[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]45.7[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[C]46.4[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.1[/C][C]0.03[/C][C]0.03[/C][C]0.07[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.03[/C][C]0.13[/C][C]0.03[/C][C]0.03[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280492&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280492&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
HIV_Risk x Prop_Population_on_Farms
0.050.10.120.140.150.160.190.20.220.240.250.30.340.370.40.420.440.480.490.520.530.610.69
14.80.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
150.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
15.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
15.90.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
16.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
170.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
17.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
180.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
18.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
18.80.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
18.90.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
20.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
20.80.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.20.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
21.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
22.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
22.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
24.40.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
24.70.070.070.130.070.070.070.20.070.070.130.070.070.070.070.070.070.070.070.070.070.270.070.07
28.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
340.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
350.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
37.20.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
38.60.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
45.30.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
45.70.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03
46.40.030.030.070.030.030.030.10.030.030.070.030.030.030.030.030.030.030.030.030.030.130.030.03







Statistical Results
Pearson's Chi-squared test
Pearson Chi Square Statistic637.5
Degrees of Freedom616
P value0.27

\begin{tabular}{lllllllll}
\hline
Statistical Results \tabularnewline
Pearson's Chi-squared test \tabularnewline
Pearson Chi Square Statistic & 637.5 \tabularnewline
Degrees of Freedom & 616 \tabularnewline
P value & 0.27 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=280492&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]637.5[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]616[/C][/ROW]
[ROW][C]P value[/C][C]0.27[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=280492&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=280492&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 Statistic637.5
Degrees of Freedom616
P value0.27



Parameters (Session):
par1 = 2 ; par2 = 3 ; par3 = Pearson Chi-Squared ;
Parameters (R input):
par1 = 1 ; par2 = 3 ; 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')