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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Tests to Compare Two Means.wasp
Title produced by softwareT-Tests
Date of computationThu, 28 Feb 2013 07:23:40 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/28/t1362054231hjcscm9fodgpewx.htm/, Retrieved Tue, 10 Feb 2026 20:19:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207191, Retrieved Tue, 10 Feb 2026 20:19:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact391

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [T-Tests] [cognitive] [2013-02-28 12:07:07] [5be6dfe262abe3b9e598f4c51751a54a]
- R  D  [T-Tests] [cognitive2] [2013-02-28 12:16:10] [5be6dfe262abe3b9e598f4c51751a54a]
- R         [T-Tests] [cognitive2] [2013-02-28 12:23:40] [2bfa092337afe668dc6e5567ff667356] [Current]
- R  D        [T-Tests] [cognitive 3] [2013-02-28 12:25:04] [5be6dfe262abe3b9e598f4c51751a54a]
-   P           [T-Tests] [cognitive 3] [2013-02-28 13:30:17] [5be6dfe262abe3b9e598f4c51751a54a]
- R P         [T-Tests] [cognitive2] [2013-02-28 13:28:52] [5be6dfe262abe3b9e598f4c51751a54a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9	9
10	9
8	9
9	9
9	5
9	8
9	8
10	10
10	10
9	10
10	9
9	9
9	10
10	10
10	10
9	10
10	8
10	10
7	9
10	9
9	7
9	9
7	7
10	9
10	9
9	8
10	9
10	10
9	8
10	8

Tables (Output of Computation)





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=207191&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=207191&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207191&T=0

As an alternative you can also use a QR Code:  
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






T-Test
Mean19.3
Mean28.83333
T Statistic1.80016
P-value0.07752
Lower Confidence Limit-0.05328
Upper Confidence Limit0.98662

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 9.3 \tabularnewline
Mean2 & 8.83333 \tabularnewline
T Statistic & 1.80016 \tabularnewline
P-value & 0.07752 \tabularnewline
Lower Confidence Limit & -0.05328 \tabularnewline
Upper Confidence Limit & 0.98662 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207191&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]9.3[/C][/ROW]
[ROW][C]Mean2[/C][C]8.83333[/C][/ROW]
[ROW][C]T Statistic[/C][C]1.80016[/C][/ROW]
[ROW][C]P-value[/C][C]0.07752[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-0.05328[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]0.98662[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207191&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207191&T=1

As an alternative you can also use a QR Code:  
QR Code


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

T-Test
Mean19.3
Mean28.83333
T Statistic1.80016
P-value0.07752
Lower Confidence Limit-0.05328
Upper Confidence Limit0.98662






Standard Deviations
Variable 10.83666
Variable 21.14721

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 0.83666 \tabularnewline
Variable 2 & 1.14721 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207191&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]0.83666[/C][/ROW]
[ROW][C]Variable 2[/C][C]1.14721[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207191&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207191&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Standard Deviations
Variable 10.83666
Variable 21.14721


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.character(par4)
par5 <- as.character(par5)
par6 <- as.numeric(par6)
par7 <- as.numeric(par7)
par8 <- as.logical(par8)
if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
x <- t(y)
if(par8){
bitmap(file='test1.png')
(r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2))
dev.off()
}
load(file='createtable')
if( par4 == 'Wilcoxon-Mann_Whitney'){
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Wilcoxon Test',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'',1,TRUE)
a <- table.element(a,'Statistic',1,TRUE)
a <- table.element(a,'P-value',1,TRUE)
a <- table.row.end(a)
W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired)
a<-table.row.start(a)
a<-table.element(a,'Wilcoxon Test',1,TRUE)
a<-table.element(a,W$statistic[[1]])
a<-table.element(a,round(W$p.value, digits=5) )
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if( par4 == 'T-Test')
{
T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7)
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'T-Test',3,TRUE)
a <- table.row.end(a)
if(paired){
a <- table.row.start(a)
a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE)
a<-table.element(a,round(T$estimate, digits=5) )
a <- table.row.end(a)
}
if(!paired){
a <- table.row.start(a)
a <- table.element(a,'Mean1',1,TRUE)
a<-table.element(a,round(T$estimate[1], digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Mean2',1,TRUE)
a<-table.element(a,round(T$estimate[2], digits=5) )
a <- table.row.end(a)
}
a <- table.row.start(a)
a <- table.element(a,'T Statistic',1,TRUE)
a<-table.element(a,round(T$statistic, digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'P-value',1,TRUE)
a<-table.element(a,round(T$p.value, digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Lower Confidence Limit',1,TRUE)
a<-table.element(a,round(T$conf.int[1], digits=5) )
a <- table.row.end(a)
a<-table.row.start(a)
a <- table.element(a,'Upper Confidence Limit',1,TRUE)
a<-table.element(a,round(T$conf.int[2], digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Standard Deviations',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Variable 1',1,TRUE)
a<-table.element(a,round(sd(x[,par2], na.rm=TRUE), digits=5) )
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Variable 2',1,TRUE)
a<-table.element(a,round(sd(x[,par3], na.rm=TRUE), digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')