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Author

*The author of this computation has been verified*

R Software Module

Ian.Hollidayrwasp_Tests to Compare Two Means.wasp

Title produced by software

Aston University Statistical Software

Date of computation

Tue, 24 Nov 2009 08:02:27 -0700

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/2009/Nov/24/t12590757524mx6sf5hb0jkoct.htm/, Retrieved Thu, 19 Jun 2025 07:01:44 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59113, Retrieved Thu, 19 Jun 2025 07:01:44 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

209

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

-     [Aston University Statistical Software] [Pilot Training Study] [2009-11-16 16:36:04] [74be16979710d4c4e7c6647856088456]
- R     [Aston University Statistical Software] [Pilot Training Study] [2009-11-16 17:19:28] [74be16979710d4c4e7c6647856088456]
-   P       [Aston University Statistical Software] [] [2009-11-24 15:02:27] [c92f5ba3a07bc76f136819ea4bf02652] [Current]

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Dataseries X:

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Histogram

Boxplots

41.81	46.12
40.25	50.90
50.37	47.32
43.12	47.05
40.46	49.55
42.89	48.33
54.29	44.49
56.13	51.64
51.76	46.55
42.92	54.79
45.58	47.51
47.37	50.83
48.27	48.41
47.02	53.83
52.23	52.95
64.02	56.88
52.36	48.50
53.97	53.29
60.45	54.06
47.76	56.66
47.44	48.88
48.35	44.46
49.21	49.63
52.12	49.12
44.39	56.88
48.89	46.89
54.04	55.97
40.31	50.42
50.51	52.67
52.33	51.28
44.52	55.89
55.59	54.55
54.27	48.80
49.18	52.39
40.75	56.80
45.36	46.69
43.54	44.01
48.82	50.51
54.05	56.01
57.47	61.45

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=59113&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=59113&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59113&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

T-Test
Mean1	49.10425
Mean2	51.074
T Statistic	-1.76752
P-value	0.08143
Lower Confidence Limit	-4.19175
Upper Confidence Limit	0.25225

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 49.10425 \tabularnewline
Mean2 & 51.074 \tabularnewline
T Statistic & -1.76752 \tabularnewline
P-value & 0.08143 \tabularnewline
Lower Confidence Limit & -4.19175 \tabularnewline
Upper Confidence Limit & 0.25225 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59113&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]49.10425[/C][/ROW]
[ROW][C]Mean2[/C][C]51.074[/C][/ROW]
[ROW][C]T Statistic[/C][C]-1.76752[/C][/ROW]
[ROW][C]P-value[/C][C]0.08143[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-4.19175[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]0.25225[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59113&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59113&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
Mean1	49.10425
Mean2	51.074
T Statistic	-1.76752
P-value	0.08143
Lower Confidence Limit	-4.19175
Upper Confidence Limit	0.25225

Standard Deviations
Variable 1	5.70493
Variable 2	4.1389

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 5.70493 \tabularnewline
Variable 2 & 4.1389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59113&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]5.70493[/C][/ROW]
[ROW][C]Variable 2[/C][C]4.1389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59113&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59113&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 1	5.70493
Variable 2	4.1389

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .95 ; par8 = TRUE ;

Parameters (R input):

par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .95 ; par8 = TRUE ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;

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')

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Input Parameters & R Code