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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_May_mock1.wasp
Title produced by softwareMC Mock_Exam - Q1
Date of computationSun, 20 May 2012 11:32:54 -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/t1337528006d88yxfdvw9y22w6.htm/, Retrieved Fri, 01 Nov 2024 00:38:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166841, Retrieved Fri, 01 Nov 2024 00:38:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [MC Mock_Exam - Q1] [question1] [2012-05-20 14:52:19] [db177c22332ffa2a0a999e2f71898de2]
- RMP   [MC May Mock - Q2] [question 2] [2012-05-20 14:56:02] [db177c22332ffa2a0a999e2f71898de2]
-  MP     [MC May Mock - Q3] [question 3] [2012-05-20 14:59:54] [db177c22332ffa2a0a999e2f71898de2]
-  MP       [MC May Mock - Q4] [question4] [2012-05-20 15:01:37] [db177c22332ffa2a0a999e2f71898de2]
-  MP         [MC May Mock - Q5] [question 5] [2012-05-20 15:04:56] [db177c22332ffa2a0a999e2f71898de2]
- RMP           [MC Mock_Exam - Q1] [question1 of mock] [2012-05-20 15:10:27] [db177c22332ffa2a0a999e2f71898de2]
-   P             [MC Mock_Exam - Q1] [question1 of mock] [2012-05-20 15:15:36] [db177c22332ffa2a0a999e2f71898de2]
- R                 [MC Mock_Exam - Q1] [q1] [2012-05-20 15:20:51] [db177c22332ffa2a0a999e2f71898de2]
- R                   [MC Mock_Exam - Q1] [qu1] [2012-05-20 15:24:14] [db177c22332ffa2a0a999e2f71898de2]
-                         [MC Mock_Exam - Q1] [question 1 of the...] [2012-05-20 15:32:54] [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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166841&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166841&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166841&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'Herman Ole Andreas Wold' @ wold.wessa.net







Identify the sample most similar to a standard normal distribution.
The sample called nx1
The sample called nx2
The sample called nx3
Avoid Guessing Penalty

\begin{tabular}{lllllllll}
\hline
Identify the sample most similar to a standard normal  distribution. \tabularnewline
The sample called nx1 \tabularnewline
The sample called nx2 \tabularnewline
The sample called nx3 \tabularnewline
Avoid Guessing Penalty \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166841&T=1

[TABLE]
[ROW][C]Identify the sample most similar to a standard normal  distribution.[/C][/ROW]
[ROW][C]The sample called nx1[/C][/ROW]
[ROW][C]The sample called nx2[/C][/ROW]
[ROW][C]The sample called nx3[/C][/ROW]
[ROW][C]Avoid Guessing Penalty[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166841&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166841&T=1

As an alternative you can also use a QR Code:  

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

Identify the sample most similar to a standard normal distribution.
The sample called nx1
The sample called nx2
The sample called nx3
Avoid Guessing Penalty







Means of the three samples
Samplenx1nx2nx3
Value0.0840.144-2.324

\begin{tabular}{lllllllll}
\hline
Means of the three samples \tabularnewline
Sample & nx1 & nx2 & nx3 \tabularnewline
Value & 0.084 & 0.144 & -2.324 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166841&T=2

[TABLE]
[ROW][C]Means of the three samples[/C][/ROW]
[ROW][C]Sample[/C][C]nx1[/C][C]nx2[/C][C]nx3[/C][/ROW]
[ROW][C]Value[/C][C]0.084[/C][C]0.144[/C][C]-2.324[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166841&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166841&T=2

As an alternative you can also use a QR Code:  

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

Means of the three samples
Samplenx1nx2nx3
Value0.0840.144-2.324







Standard deviations of the three samples
Samplenx1nx2nx3
Value0.9412.1091.879

\begin{tabular}{lllllllll}
\hline
Standard deviations of the three samples \tabularnewline
Sample & nx1 & nx2 & nx3 \tabularnewline
Value & 0.941 & 2.109 & 1.879 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166841&T=3

[TABLE]
[ROW][C]Standard deviations of the three samples[/C][/ROW]
[ROW][C]Sample[/C][C]nx1[/C][C]nx2[/C][C]nx3[/C][/ROW]
[ROW][C]Value[/C][C]0.941[/C][C]2.109[/C][C]1.879[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166841&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166841&T=3

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 three samples
Samplenx1nx2nx3
Value0.9412.1091.879



Parameters (Session):
par1 = a-101530532 ; par2 = nx2 ; par3 = 7fdf2660e73419685a20a23710fc8dad ;
Parameters (R input):
par1 = a-101530532 ;
R code (references can be found in the software module):
library(digest)
myran <- runif(1)
if (myran <= 1) {
nx1 <- rnorm(100)
nx2 <- rnorm(100, sd=2.0, mean=0.0)
nx3 <- rnorm(100, sd=2.0, mean=-2.0)
answer <- 'nx1'
}
if (myran < 0.66) {
nx2 <- rnorm(100)
nx3 <- rnorm(100, sd=2.0, mean=0.0)
nx1 <- rnorm(100, sd=2.0, mean=-2.0)
answer <- 'nx2'
}
if (myran < 0.33) {
nx3 <- rnorm(100)
nx1 <- rnorm(100, sd=2.0, mean=0.0)
nx2 <- rnorm(100, sd=2.0, mean=-2.0)
answer <- 'nx3'
}
answer <- digest(answer,ser=F)
allmeans<- c(mean(nx1),mean(nx2),mean(nx3))
names(allmeans)<-c('Sample 1', 'Sample 2', 'Sample 3')
allmeans
allsd<- c(sd(nx1), sd(nx2), sd(nx3))
names(allsd)<- c('Sample 1', 'Sample 2', 'Sample 3')
allsd
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Identify the sample most similar to a standard normal distribution.',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink(paste('https://automated.biganalytics.eu/rwasp_May_mock2.wasp?par1=',par1,'&par2=nx1&par3=',answer,'&par0=1',sep=''),'The sample called nx1','',target=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink(paste('https://automated.biganalytics.eu/rwasp_May_mock2.wasp?par1=',par1,'&par2=nx2&par3=',answer,'&par0=1',sep=''),'The sample called nx2','',target=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink(paste('https://automated.biganalytics.eu/rwasp_May_mock2.wasp?par1=',par1,'&par2=nx3&par3=',answer,'&par0=1',sep=''),'The sample called nx3','',target=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink(paste('https://automated.biganalytics.eu/rwasp_May_mock2.wasp?par1=',par1,'&par2=wnga&par3=',answer,'&par0=1',sep=''),'Avoid Guessing Penalty','',target=''))
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,'Means of the three samples',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample',1,TRUE)
a<-table.element(a,'nx1',1,TRUE)
a<-table.element(a,'nx2',1,TRUE)
a<-table.element(a,'nx3',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Value',1,TRUE)
a<-table.element(a,round(mean(nx1),3))
a<-table.element(a,round(mean(nx2),3))
a<-table.element(a,round(mean(nx3),3))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Standard deviations of the three samples',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample',1,TRUE)
a<-table.element(a,'nx1',1,TRUE)
a<-table.element(a,'nx2',1,TRUE)
a<-table.element(a,'nx3',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Value',1,TRUE)
a<-table.element(a,round(sd(nx1),3))
a<-table.element(a,round(sd(nx2),3))
a<-table.element(a,round(sd(nx3),3))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
bitmap(file='hist1.png')
hist(nx1)
dev.off()
bitmap(file='hist2.png')
hist(nx2)
dev.off()
bitmap(file='hist3.png')
hist(nx3)
dev.off()
bitmap(file='pairs.png')
pairs(x=cbind(nx1, nx2, nx3))
dev.off()