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Author

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R Software Module

rwasp_May_mock1.wasp

Title produced by software

MC Mock_Exam - Q1

Date of computation

Sun, 20 May 2012 09:50:31 -0400

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/20/t13375218786j0acmrjcpb7klb.htm/, Retrieved Fri, 01 Nov 2024 00:16:02 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166798, Retrieved Fri, 01 Nov 2024 00:16:02 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

146

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [MC Mock_Exam - Q1] [question 1] [2012-05-20 13:50:31] [68e47018849be3915773eb95b1368c99] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166798&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166798&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166798&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'AstonUniversity' @ aston.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=166798&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=166798&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166798&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
Sample	nx1	nx2	nx3
Value	-2.3	-0.076	0.39

\begin{tabular}{lllllllll}
\hline
Means of the three samples \tabularnewline
Sample & nx1 & nx2 & nx3 \tabularnewline
Value & -2.3 & -0.076 & 0.39 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166798&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]-2.3[/C][C]-0.076[/C][C]0.39[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166798&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166798&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
Sample	nx1	nx2	nx3
Value	-2.3	-0.076	0.39

Standard deviations of the three samples
Sample	nx1	nx2	nx3
Value	2.218	0.947	1.871

\begin{tabular}{lllllllll}
\hline
Standard deviations of the three samples \tabularnewline
Sample & nx1 & nx2 & nx3 \tabularnewline
Value & 2.218 & 0.947 & 1.871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166798&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]2.218[/C][C]0.947[/C][C]1.871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166798&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166798&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
Sample	nx1	nx2	nx3
Value	2.218	0.947	1.871

Figure 1

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Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = a-101530532 ;

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()

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Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code