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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 computationWed, 22 May 2013 10:58:09 -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/2013/May/22/t1369234714s6rkkwzcn23ti9n.htm/, Retrieved Sat, 27 Apr 2024 13:36:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210096, Retrieved Sat, 27 Apr 2024 13:36:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Simple Linear Regression] [RAD BPVT Regression] [2013-05-18 11:35:15] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [T-Tests] [] [2013-05-22 14:58:09] [ba64bc3677ce2e3ca44b42196f7d02ba] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-2.67	-6.5
9.67	-7.33
-6	49.33
28.33	-11
12	-8.33
-11.3	9
3	2.33
-4.67	-12.3
-5	5.67
2.33	-2
37.67	1.33
7.5	-13-2.67	-6.5
9.67	-7.33
-6	NA
28.33	-11
12	-8.33
-11.3	9
3	2.33
-4.67	-12.3
-5	5.67
2.33	-2
NA	1.33
7.5	-13
5	-5.67
30	-4
15.33	2
5	-5.67
30	-4
15.33	2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210096&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210096&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






T-Test
Mean10.40679
Mean25.0375
T Statistic-1.28973
P-value0.20303
Lower Confidence Limit-11.84087
Upper Confidence Limit2.57944

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 0.40679 \tabularnewline
Mean2 & 5.0375 \tabularnewline
T Statistic & -1.28973 \tabularnewline
P-value & 0.20303 \tabularnewline
Lower Confidence Limit & -11.84087 \tabularnewline
Upper Confidence Limit & 2.57944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210096&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]0.40679[/C][/ROW]
[ROW][C]Mean2[/C][C]5.0375[/C][/ROW]
[ROW][C]T Statistic[/C][C]-1.28973[/C][/ROW]
[ROW][C]P-value[/C][C]0.20303[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-11.84087[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]2.57944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210096&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210096&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
Mean10.40679
Mean25.0375
T Statistic-1.28973
P-value0.20303
Lower Confidence Limit-11.84087
Upper Confidence Limit2.57944






Standard Deviations
Variable 111.5054
Variable 215.11898

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 11.5054 \tabularnewline
Variable 2 & 15.11898 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210096&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]11.5054[/C][/ROW]
[ROW][C]Variable 2[/C][C]15.11898[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210096&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210096&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 111.5054
Variable 215.11898


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ;
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')