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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 10:00:09 -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/t1369231231kw1k4ljisk9se4b.htm/, Retrieved Sun, 28 Apr 2024 17:54:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209656, Retrieved Sun, 28 Apr 2024 17:54:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

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]
- R     [Simple Linear Regression] [Q2: Linear Regres...] [2013-05-22 13:18:23] [371dda6194462372473caa1f809126cb]
- RMPD      [T-Tests] [Q2c: t-test] [2013-05-22 14:00:09] [b9bb0bee71e79baedbda8d04cb7f9b59] [Current]
- R P         [T-Tests] [2c: mann-whitney] [2013-05-22 14:01:04] [371dda6194462372473caa1f809126cb]
-   PD        [T-Tests] [female data] [2013-05-22 14:08:33] [371dda6194462372473caa1f809126cb]
- R  D          [T-Tests] [Male Data] [2013-05-22 14:09:58] [371dda6194462372473caa1f809126cb]
- RMPD          [CARE Data - Boxplots and Scatterplot Matrix] [boxplot and scatt...] [2013-05-22 14:21:20] [371dda6194462372473caa1f809126cb]
- RMP           [Histogram, QQplot and Density] [] [2013-05-22 14:24:53] [371dda6194462372473caa1f809126cb]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
29	-6.5
21	-7.33
50	49.33
23	-11
35	-2.67
36	-8.33
32	9
44	9.67
42	2.33
39	-12.3
20	-6
73	5.67
38	28.33
43	12
50	-2
32	-11.3
24	1.33
24	3
59	-4.67
41	-5
24	-13
44	2.33
66	37.67
40	7.5
24	5
31	-5.67
45	-4
60	30
35	15.33
39	2

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=209656&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=209656&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209656&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
Mean138.76667
Mean24.024
T Statistic9.40757
P-value0
Lower Confidence Limit27.34799
Upper Confidence Limit42.13735

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 38.76667 \tabularnewline
Mean2 & 4.024 \tabularnewline
T Statistic & 9.40757 \tabularnewline
P-value & 0 \tabularnewline
Lower Confidence Limit & 27.34799 \tabularnewline
Upper Confidence Limit & 42.13735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209656&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]38.76667[/C][/ROW]
[ROW][C]Mean2[/C][C]4.024[/C][/ROW]
[ROW][C]T Statistic[/C][C]9.40757[/C][/ROW]
[ROW][C]P-value[/C][C]0[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]27.34799[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]42.13735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209656&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209656&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
Mean138.76667
Mean24.024
T Statistic9.40757
P-value0
Lower Confidence Limit27.34799
Upper Confidence Limit42.13735






Standard Deviations
Variable 113.42587
Variable 215.12963

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 13.42587 \tabularnewline
Variable 2 & 15.12963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209656&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]13.42587[/C][/ROW]
[ROW][C]Variable 2[/C][C]15.12963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209656&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209656&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 113.42587
Variable 215.12963


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):
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')