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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 computationFri, 01 Jun 2012 06:06:19 -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/Jun/01/t1338545197bougmr4jbc3bifi.htm/, Retrieved Thu, 02 May 2024 09:50:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168554, Retrieved Thu, 02 May 2024 09:50:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

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] [Triglyceridge Reg...] [2011-07-07 15:11:49] [74be16979710d4c4e7c6647856088456]
- R     [Simple Linear Regression] [Triglyceride] [2012-05-04 19:33:41] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD      [T-Tests] [Females and Males...] [2012-06-01 10:06:19] [8e78b9caec05a843a8511780bd4770d3] [Current]
- R           [T-Tests] [Females and Males...] [2012-06-01 10:15:03] [09253b89c68efd7a460a267273a9d6e3]
- R           [T-Tests] [Females and Males...] [2012-06-01 10:16:27] [09253b89c68efd7a460a267273a9d6e3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58	51	77	77
53	54	68	70
59	59	76	76
166	56	76	77
51	52	69	73
64	64	71	71
52	57	65	64
65	66	70	75
62	62	92	101
61	61	76	75
61	61	119	124
54	59	65	66
50	50	66	70
63	61	101	100
58	60	75	73
39	41	79	76
71	71	64	65
52	52	69	69
68	63	88	86
56	54	65	67
54	53	80	80
63	59	78	80
54	55	85	82
54	56	82	85
75	75	74	73
56	57	102	107
66	65	65	64
78	75	73	74
60	59	75	70
64	63	57	58
64	62	68	69
52	51	71	71
62	61	71	76
55	54	97	98
56	57	80	76
50	50	66	66
50	55	69	70
63	64	69	70
61	60	55	56
53	52	59	61
60	55	62	66
56	56	70	68
53	53	84	86
57	59	69	71
57	56	88	87
56	56	103	101

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168554&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168554&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168554&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






T-Test
Difference: Mean1 - Mean22.6087
T Statistic1.08208
P-value0.28498
Lower Confidence Limit-2.24695
Upper Confidence Limit7.46434

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Difference: Mean1 - Mean2 & 2.6087 \tabularnewline
T Statistic & 1.08208 \tabularnewline
P-value & 0.28498 \tabularnewline
Lower Confidence Limit & -2.24695 \tabularnewline
Upper Confidence Limit & 7.46434 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168554&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Difference: Mean1 - Mean2[/C][C]2.6087[/C][/ROW]
[ROW][C]T Statistic[/C][C]1.08208[/C][/ROW]
[ROW][C]P-value[/C][C]0.28498[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-2.24695[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]7.46434[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168554&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168554&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
Difference: Mean1 - Mean22.6087
T Statistic1.08208
P-value0.28498
Lower Confidence Limit-2.24695
Upper Confidence Limit7.46434






Standard Deviations
Variable 117.34086
Variable 26.3834

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 17.34086 \tabularnewline
Variable 2 & 6.3834 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168554&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]17.34086[/C][/ROW]
[ROW][C]Variable 2[/C][C]6.3834[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168554&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168554&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 117.34086
Variable 26.3834


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 = paired ; 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 <- 'paired'
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')