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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 computationThu, 13 Jun 2013 09:31:45 -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/Jun/13/t1371130362x4fhof9dfvvkmzk.htm/, Retrieved Sun, 28 Apr 2024 07:55:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210760, Retrieved Sun, 28 Apr 2024 07:55:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [T-Tests] [PY2224_summer_Exa...] [2013-06-13 13:31:45] [a9208f4f8d3b118336aae915785f2bd9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
68	41
66	52
35	68
67	49
75	62
61	62
88	33
43	30
79	60
56	59
68	59
NA	56
NA	35
NA	54
NA	64
NA	75
NA	60
NA	64
NA	43
NA	42
NA	64
NA	56
NA	50
NA	51
NA	69
NA	57
NA	30
NA	68
NA	56
NA	64
NA	55
NA	57
NA	54
NA	73
NA	44
NA	61
NA	33
NA	83
NA	71
NA	50
NA	27
NA	42
NA	46
NA	52
NA	63
NA	45
NA	62
NA	60
NA	73
NA	57
NA	73
NA	74
NA	75
NA	76
NA	79
NA	48
NA	59
NA	70
NA	57
NA	78
NA	73
NA	70
NA	25
NA	53
NA	50
NA	82
NA	70
NA	61
NA	73
NA	60
NA	49
NA	66
NA	55
NA	76
NA	74
NA	62
NA	54
NA	65
NA	49
NA	52
NA	51
NA	31
NA	61
NA	32
NA	63
NA	44
NA	68
NA	70
NA	60
NA	59
NA	58
NA	77
NA	76
NA	53
NA	59
NA	66
NA	63
NA	65
NA	77
NA	48

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210760&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210760&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210760&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 Ronald Aylmer Fisher' @ fisher.wessa.net






T-Test
Mean164.18182
Mean258.3
T Statistic1.23072
P-value0.24259
Lower Confidence Limit-4.56047
Upper Confidence Limit16.3241

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 64.18182 \tabularnewline
Mean2 & 58.3 \tabularnewline
T Statistic & 1.23072 \tabularnewline
P-value & 0.24259 \tabularnewline
Lower Confidence Limit & -4.56047 \tabularnewline
Upper Confidence Limit & 16.3241 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210760&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]64.18182[/C][/ROW]
[ROW][C]Mean2[/C][C]58.3[/C][/ROW]
[ROW][C]T Statistic[/C][C]1.23072[/C][/ROW]
[ROW][C]P-value[/C][C]0.24259[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-4.56047[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]16.3241[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210760&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210760&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
Mean164.18182
Mean258.3
T Statistic1.23072
P-value0.24259
Lower Confidence Limit-4.56047
Upper Confidence Limit16.3241






Standard Deviations
Variable 115.23692
Variable 213.17136

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 15.23692 \tabularnewline
Variable 2 & 13.17136 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210760&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]15.23692[/C][/ROW]
[ROW][C]Variable 2[/C][C]13.17136[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210760&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210760&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 115.23692
Variable 213.17136


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')