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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 softwareT-Tests
Date of computationWed, 02 Jun 2010 10:23:11 +0000
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/Jun/02/t1275474316xd0ax0omzz1k9jz.htm/, Retrieved Fri, 29 Mar 2024 14:40:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77202, Retrieved Fri, 29 Mar 2024 14:40:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 16:26:06] [74be16979710d4c4e7c6647856088456]
- R     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 17:22:16] [74be16979710d4c4e7c6647856088456]
-   PD      [T-Tests] [Weight Difference] [2010-06-02 10:23:11] [54f2e1afebed922cecd41071a661e251] [Current]
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Dataseries X:
91.3	90.2	1
114.0	110.5	1
89.2	90.2	1
84.1	84.0	1
95.4	95.0	1
97.3	93.6	1
101.5	101.9	1
102.2	96.3	1
84.0	82.6	1
117.9	117.0	1
112.4	111.8	1
73.8	74.8	1
67.7	66.1	1
102.5	102.0	1
79.5	82.2	1
101.6	100.3	1
106.0	101.0	1
112.8	111.2	1
98.4	95.0	1
88.8	87.0	2
87.0	81.8	2
107.4	103.5	2
90.0	87.6	2
108.1	100.9	2
83.4	75.0	2
103.7	95.7	2
99.2	99.2	2
126.0	123.2	2
103.7	95.5	2
85.0	80.0	2
83.8	77.9	2
106.9	103.7	2
81.5	78.9	2
103.0	97.2	2
127.5	124.7	2
114.9	105.3	2
103.4	96.0	2




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=77202&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=77202&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77202&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
Mean198.24054
Mean295.1027
T Statistic0.98039
P-value0.16509
Lower Confidence Limit-2.19537
Upper Confidence LimitInf

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 98.24054 \tabularnewline
Mean2 & 95.1027 \tabularnewline
T Statistic & 0.98039 \tabularnewline
P-value & 0.16509 \tabularnewline
Lower Confidence Limit & -2.19537 \tabularnewline
Upper Confidence Limit & Inf \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77202&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]98.24054[/C][/ROW]
[ROW][C]Mean2[/C][C]95.1027[/C][/ROW]
[ROW][C]T Statistic[/C][C]0.98039[/C][/ROW]
[ROW][C]P-value[/C][C]0.16509[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-2.19537[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]Inf[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77202&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77202&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
Mean198.24054
Mean295.1027
T Statistic0.98039
P-value0.16509
Lower Confidence Limit-2.19537
Upper Confidence LimitInf







Standard Deviations
Variable 113.96823
Variable 213.56141

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 13.96823 \tabularnewline
Variable 2 & 13.56141 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77202&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]13.96823[/C][/ROW]
[ROW][C]Variable 2[/C][C]13.56141[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77202&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77202&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 113.96823
Variable 213.56141



Parameters (Session):
par1 = greater ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .95 ; par8 = TRUE ;
Parameters (R input):
par1 = greater ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .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]), 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')