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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 06:12:46 -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/t1338545585thjuq06ek0ks6ia.htm/, Retrieved Thu, 02 May 2024 02:48:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=168601, Retrieved Thu, 02 May 2024 02:48:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [T-Tests] [] [2012-06-01 10:12:46] [5785344b7622c5aa2d3a8a0c8dd90052] [Current]
- R  D    [T-Tests] [] [2012-06-01 10:16:05] [e3bca26b0e60ee0c7c12e4668b30341a]
-    D    [T-Tests] [] [2012-06-01 10:31:13] [e3bca26b0e60ee0c7c12e4668b30341a]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58	77
53	68
59	76
166	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
49	73
54	82
75	74
56	102
66	64
78	65
60	73
64	75
64	57
52	68
62	71
55	71
56	97
50	80
50	66
50	69
63	69
61	55
53	59
60	62
56	70
53	84
57	69
57	88
56	103
56	63
50	84
52	79
55	67
55	83
47	96
45	75
62	65
53	78
52	69
57	67
64	87
59	83
55	90
76	85
62	66
68	88
55	54
52	69
47	56
45	96
68	76
44	61
62	82
56	62
50	71
53	66
64	81
62	68
52	80
53	82
54	70
64	76
55	88
55	89
59	74
70	83
57	81
47	90
47	79
55	
48	
59	
58	
57	
51	
54	
53	
59	
59	
63	
66	
53	
54	
60	
43	
63	
56	
60	
58	
50	
59	
51	
62

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=168601&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=168601&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168601&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
Mean159.10714
Mean273.83929
T Statistic-7.49532
P-value0
Lower Confidence Limit-18.60627
Upper Confidence Limit-10.85802

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 59.10714 \tabularnewline
Mean2 & 73.83929 \tabularnewline
T Statistic & -7.49532 \tabularnewline
P-value & 0 \tabularnewline
Lower Confidence Limit & -18.60627 \tabularnewline
Upper Confidence Limit & -10.85802 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168601&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]59.10714[/C][/ROW]
[ROW][C]Mean2[/C][C]73.83929[/C][/ROW]
[ROW][C]T Statistic[/C][C]-7.49532[/C][/ROW]
[ROW][C]P-value[/C][C]0[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-18.60627[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]-10.85802[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168601&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168601&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
Mean159.10714
Mean273.83929
T Statistic-7.49532
P-value0
Lower Confidence Limit-18.60627
Upper Confidence Limit-10.85802






Standard Deviations
Variable 115.96582
Variable 213.33326

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 15.96582 \tabularnewline
Variable 2 & 13.33326 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=168601&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]15.96582[/C][/ROW]
[ROW][C]Variable 2[/C][C]13.33326[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=168601&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=168601&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 115.96582
Variable 213.33326


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):
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')