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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 05:56:05 -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/t1338544589sos6kbeukndgyhm.htm/, Retrieved Mon, 29 Apr 2024 16:14:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168478, Retrieved Mon, 29 Apr 2024 16:14:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 16:26:06] [74be16979710d4c4e7c6647856088456]
- R     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 17:22:16] [74be16979710d4c4e7c6647856088456]
-   P     [T-Tests] [Morning Sickness ...] [2010-11-09 11:12:43] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM        [T-Tests] [Morning Sickness ...] [2011-11-07 09:34:35] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P         [T-Tests] [Week 6 Scenario 1] [2011-11-15 12:55:34] [e321a50baa43542d9b445a01ae291c16]
-   PD            [T-Tests] [Exam 5] [2012-06-01 09:56:05] [43dd9a6f74efb0fc2d29ff9e6e856a1e] [Current]
-    D              [T-Tests] [t test 1] [2012-06-01 09:59:58] [e321a50baa43542d9b445a01ae291c16]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58	77
53	68
59	76
57	76
51	69
64	71
52	65
65	70
62	92
61	76
61	119
54	65
50	66
63	101
58	75
39	79
71	64
52	69
68	88
56	65
54	80
63	78
54	85
54	82
75	74
56	102
78	65
60	73
64	75
64	57
52	68
62	71
55	71
56	97
50	80
50	66
63	69
61	69
53	55
60	59
56	62
53	70
57	84
57	69
56	88
56	103
50	63
52	84
55	79
47	67
45	83
62	96
53	75
52	65
57	78
64	69
59	87
55	83
76	90
62	85
68	66
55	88
45	54
68	69
44	56
62	96
56	76
50	61
53	62
64	71
52	66
53	81
54	68
64	80
55	70
55	76
59	88
70	89
57	74
47	83
47	90
48	79

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168478&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168478&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168478&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'Gertrude Mary Cox' @ cox.wessa.net






T-Test
Mean157.17073
Mean275.97561
T Statistic-12.01966
P-value1
Lower Confidence Limit-21.3964
Upper Confidence LimitInf

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 57.17073 \tabularnewline
Mean2 & 75.97561 \tabularnewline
T Statistic & -12.01966 \tabularnewline
P-value & 1 \tabularnewline
Lower Confidence Limit & -21.3964 \tabularnewline
Upper Confidence Limit & Inf \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168478&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]57.17073[/C][/ROW]
[ROW][C]Mean2[/C][C]75.97561[/C][/ROW]
[ROW][C]T Statistic[/C][C]-12.01966[/C][/ROW]
[ROW][C]P-value[/C][C]1[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-21.3964[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]Inf[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168478&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168478&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
Mean157.17073
Mean275.97561
T Statistic-12.01966
P-value1
Lower Confidence Limit-21.3964
Upper Confidence LimitInf






Standard Deviations
Variable 17.27554
Variable 212.15636

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 7.27554 \tabularnewline
Variable 2 & 12.15636 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168478&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]7.27554[/C][/ROW]
[ROW][C]Variable 2[/C][C]12.15636[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168478&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168478&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 17.27554
Variable 212.15636


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = greater ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = 0.95 ; par8 = TRUE ;
Parameters (R input):
par1 = greater ; 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):
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')