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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_Tests to Compare Two Means.wasp
Title produced by softwareT-Tests
Date of computationFri, 27 Apr 2012 22:36:13 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Apr/27/t13355806678izla6biwkgvefv.htm/, Retrieved Sun, 28 Apr 2024 19:17:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164980, Retrieved Sun, 28 Apr 2024 19:17:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [T-Tests] [PE vs non-PE age] [2012-04-28 02:36:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
22.8	24.8
35.9	34.5
27.5	25.8
19.4	20.5
18.6	19.5
24.7	25.3
22.6	19.9
30.6	29.4
21.9	19.9
23.5	21.3
19.5	22.2
24.3	24.2
19.8	18.7
16.4	14.0
29.7	29.1
24.8	25.1
17.5	17.0
35.6	36.1
29.0	28.8
19.7	18.0
21.0	18.9
38.7	40.8
34.3	32.5
22.3	21.1
19.2	17.0
22.7	20.2
28.7	26.6
24.6	22.6
24.3	26.8
26.0	26.3
18.9	20.7
35.6	37.0
26.7	25.8
21.0	19.7
22.1	20.8
22.5	20.7
36.8	34.3
26.8	18.6
29.4	29.8
25.4	28.6
20.8	29.0
25.6	27.5
17.7	38.0
19.7	21.1
21.4	22.8
25.9	22.6
33.1	19.3
23.0	19.6
19.2	20.8
17.8	28.2
29.6	23.2
32.6	31.4
18.2	20.0
22.5	20.4
28.6	19.9
22.7	27.9
29.7	30.3
20.6	19.0
19.1	22.1
34.2	29.7
28.7	25.0
30.0	31.3
29.3	22.0
31.0	19.0
31.5	31.2
36.8	31.3
30.5	32.7
35.3	19.1
31.1	31.6
31.1	35.7
25.5	29.0
22.9	30.4
13.7	31.7
16.6	21.9
28.2	23.1
31.0	23.3
19.3	25.8
20.7	25.4
19.3	30.1
31.3	27.4
38.7	26.6
24.1	25.9
21.4	22.1
20.4	30.0
29.4	22.1
32.7	23.8
31.0	25.0
25.0	23.6
14.9	22.0
31.6	26.9
30.7	28.7
28.5	32.1
21.0	33.6
30.0	29.4
33.2	33.7
31.7	31.7
30.2	26.1
22.6	30.0
32.2	18.4
29.7	18.5

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164980&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164980&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164980&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'Gwilym Jenkins' @ jenkins.wessa.net






T-Test
Mean125.956
Mean225.529
T Statistic0.52849
P-value0.59776
Lower Confidence Limit-1.16637
Upper Confidence Limit2.02037

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 25.956 \tabularnewline
Mean2 & 25.529 \tabularnewline
T Statistic & 0.52849 \tabularnewline
P-value & 0.59776 \tabularnewline
Lower Confidence Limit & -1.16637 \tabularnewline
Upper Confidence Limit & 2.02037 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164980&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]25.956[/C][/ROW]
[ROW][C]Mean2[/C][C]25.529[/C][/ROW]
[ROW][C]T Statistic[/C][C]0.52849[/C][/ROW]
[ROW][C]P-value[/C][C]0.59776[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-1.16637[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]2.02037[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164980&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164980&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
Mean125.956
Mean225.529
T Statistic0.52849
P-value0.59776
Lower Confidence Limit-1.16637
Upper Confidence Limit2.02037






Standard Deviations
Variable 15.90096
Variable 25.51904

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 5.90096 \tabularnewline
Variable 2 & 5.51904 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164980&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]5.90096[/C][/ROW]
[ROW][C]Variable 2[/C][C]5.51904[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164980&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164980&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 15.90096
Variable 25.51904


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):
par8 <- 'TRUE'
par7 <- '0.95'
par6 <- '0.0'
par5 <- 'unpaired'
par4 <- 'T-Test'
par3 <- '2'
par2 <- '1'
par1 <- 'two.sided'
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')