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Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Tests to Compare Two Means.wasp
Title produced by softwareAston University Statistical Software
Date of computationThu, 18 Mar 2010 05:49:59 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/18/t12689133439f3m69p3rgyuz5w.htm/, Retrieved Tue, 18 Jan 2022 13:19:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74545, Retrieved Tue, 18 Jan 2022 13:19:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Aston University Statistical Software] [Felicity Dace Stu...] [2010-03-18 11:49:59] [a9208f4f8d3b118336aae915785f2bd9] [Current]
-         [T-Tests] [h] [2010-04-30 17:22:43] [a430456785575c896201d80fdb248d9f]
-   PD    [T-Tests] [Hypothesis 1 t-test] [2010-05-03 17:52:24] [a430456785575c896201d80fdb248d9f]
-   PD    [T-Tests] [Hypothesis 2, t-test] [2010-05-03 18:08:08] [a430456785575c896201d80fdb248d9f]
-           [T-Tests] [PSS scores of mal...] [2010-05-05 10:46:23] [a430456785575c896201d80fdb248d9f]
-             [T-Tests] [Hypothesis 2] [2010-05-10 05:55:01] [a430456785575c896201d80fdb248d9f]
-               [T-Tests] [Hypothesis 2] [2010-05-10 05:58:46] [a430456785575c896201d80fdb248d9f]
-   PD    [T-Tests] [Hypothesis 1 t-test] [2010-05-03 18:14:03] [a430456785575c896201d80fdb248d9f]
-    D      [T-Tests] [Hypothesis 1 ] [2010-05-10 05:06:55] [a430456785575c896201d80fdb248d9f]
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Dataseries X:
24	8
21	10
18	12
16	10
16	17
18	10
18	8
13	16
22	16
16	18
18	21
16	13
14	8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74545&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74545&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74545&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'Gwilym Jenkins' @ 72.249.127.135







T-Test
Mean117.69231
Mean212.84615
T Statistic3.2708
P-value0.00353
Lower Confidence Limit1.77174
Upper Confidence Limit7.92057

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 17.69231 \tabularnewline
Mean2 & 12.84615 \tabularnewline
T Statistic & 3.2708 \tabularnewline
P-value & 0.00353 \tabularnewline
Lower Confidence Limit & 1.77174 \tabularnewline
Upper Confidence Limit & 7.92057 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74545&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]17.69231[/C][/ROW]
[ROW][C]Mean2[/C][C]12.84615[/C][/ROW]
[ROW][C]T Statistic[/C][C]3.2708[/C][/ROW]
[ROW][C]P-value[/C][C]0.00353[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]1.77174[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]7.92057[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74545&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74545&T=1

As an alternative you can also use a QR Code:  

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

T-Test
Mean117.69231
Mean212.84615
T Statistic3.2708
P-value0.00353
Lower Confidence Limit1.77174
Upper Confidence Limit7.92057







Standard Deviations
Variable 13.11942
Variable 24.33678

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 3.11942 \tabularnewline
Variable 2 & 4.33678 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74545&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]3.11942[/C][/ROW]
[ROW][C]Variable 2[/C][C]4.33678[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74545&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74545&T=2

As an alternative you can also use a QR Code:  

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

Standard Deviations
Variable 13.11942
Variable 24.33678



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = FALSE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = FALSE ;
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]), 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]), digits=5) )
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')