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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_May_mock4.wasp
Title produced by softwareMC May Mock - Q4
Date of computationSun, 20 May 2012 11:59:05 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/20/t1337529572y62mjqn4sru1hhd.htm/, Retrieved Tue, 30 Apr 2024 01:01:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166860, Retrieved Tue, 30 Apr 2024 01:01:00 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [MC May Mock - Q4] [re2234] [2012-05-20 15:59:05] [68e47018849be3915773eb95b1368c99] [Current]
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Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166860&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166860&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166860&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Your last Question
correct

\begin{tabular}{lllllllll}
\hline
Your last Question \tabularnewline
correct \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166860&T=1

[TABLE]
[ROW][C]Your last Question[/C][/ROW]
[ROW][C]correct[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166860&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166860&T=1

As an alternative you can also use a QR Code:  

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

Your last Question
correct







Based on the statistical evidence given, which of the stated pairs of covariates are most dissimilar?
{x1,y1} and {x3,y3}
{x2,y2} and {x3,y3}
{x1,y1} and {x5,y5}
Avoid Guessing Penalty

\begin{tabular}{lllllllll}
\hline
Based on the statistical evidence given, which of the stated pairs of covariates are most dissimilar? \tabularnewline
{x1,y1} and {x3,y3} \tabularnewline
{x2,y2} and {x3,y3} \tabularnewline
{x1,y1} and {x5,y5} \tabularnewline
Avoid Guessing Penalty \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166860&T=2

[TABLE]
[ROW][C]Based on the statistical evidence given, which of the stated pairs of covariates are most dissimilar?[/C][/ROW]
[ROW][C]{x1,y1} and {x3,y3}[/C][/ROW]
[ROW][C]{x2,y2} and {x3,y3}[/C][/ROW]
[ROW][C]{x1,y1} and {x5,y5}[/C][/ROW]
[ROW][C]Avoid Guessing Penalty[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166860&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166860&T=2

As an alternative you can also use a QR Code:  

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

Based on the statistical evidence given, which of the stated pairs of covariates are most dissimilar?
{x1,y1} and {x3,y3}
{x2,y2} and {x3,y3}
{x1,y1} and {x5,y5}
Avoid Guessing Penalty







Means of the Y variables of each pair
Mean Y1Mean Y2Mean Y3Mean Y5
7.5017.5017.57.501

\begin{tabular}{lllllllll}
\hline
Means of the Y variables of each pair \tabularnewline
Mean Y1 & Mean Y2 & Mean Y3 & Mean Y5 \tabularnewline
7.501 & 7.501 & 7.5 & 7.501 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166860&T=3

[TABLE]
[ROW][C]Means of the Y variables of each pair[/C][/ROW]
[ROW][C]Mean Y1[/C][C]Mean Y2[/C][C]Mean Y3[/C][C]Mean Y5[/C][/ROW]
[ROW][C]7.501[/C][C]7.501[/C][C]7.5[/C][C]7.501[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166860&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166860&T=3

As an alternative you can also use a QR Code:  

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

Means of the Y variables of each pair
Mean Y1Mean Y2Mean Y3Mean Y5
7.5017.5017.57.501







Standard Deviations of the Y variables of each pair
sd Y1sd Y2sd Y3sd Y5
2.0322.0322.032.034

\begin{tabular}{lllllllll}
\hline
Standard Deviations of the Y variables of each pair \tabularnewline
sd Y1 & sd Y2 & sd Y3 & sd Y5 \tabularnewline
2.032 & 2.032 & 2.03 & 2.034 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166860&T=4

[TABLE]
[ROW][C]Standard Deviations of the Y variables of each pair[/C][/ROW]
[ROW][C]sd Y1[/C][C]sd Y2[/C][C]sd Y3[/C][C]sd Y5[/C][/ROW]
[ROW][C]2.032[/C][C]2.032[/C][C]2.03[/C][C]2.034[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166860&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166860&T=4

As an alternative you can also use a QR Code:  

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

Standard Deviations of the Y variables of each pair
sd Y1sd Y2sd Y3sd Y5
2.0322.0322.032.034







Correlations of each X-Y variable pair.
cor(x1,y1)cor(x2,y2)cor(x3,y3)cor(x5,y5)
0.8160.8160.8160.693

\begin{tabular}{lllllllll}
\hline
Correlations of each X-Y variable pair. \tabularnewline
cor(x1,y1) & cor(x2,y2) & cor(x3,y3) & cor(x5,y5) \tabularnewline
0.816 & 0.816 & 0.816 & 0.693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166860&T=5

[TABLE]
[ROW][C]Correlations of each X-Y variable pair.[/C][/ROW]
[ROW][C]cor(x1,y1)[/C][C]cor(x2,y2)[/C][C]cor(x3,y3)[/C][C]cor(x5,y5)[/C][/ROW]
[ROW][C]0.816[/C][C]0.816[/C][C]0.816[/C][C]0.693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166860&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166860&T=5

As an alternative you can also use a QR Code:  

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

Correlations of each X-Y variable pair.
cor(x1,y1)cor(x2,y2)cor(x3,y3)cor(x5,y5)
0.8160.8160.8160.693



Parameters (Session):
par1 = a-101530532 ; par2 = s1 ; par3 = 8ddf878039b70767c4a5bcf4f0c4f65e ; par4 = 8 ;
Parameters (R input):
par1 = a-101530532 ; par2 = s1 ; par3 = 8ddf878039b70767c4a5bcf4f0c4f65e ; par4 = 8 ;
R code (references can be found in the software module):