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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software ModuleIan.Hollidayrwasp_Tests to Compare Two Means.wasp
Title produced by softwareAston University Statistical Software
Date of computationMon, 16 Nov 2009 10:12:31 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/16/t1258391619r15iofsdlw7fik3.htm/, Retrieved Fri, 09 May 2025 15:02:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57344, Retrieved Fri, 09 May 2025 15:02:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPY2224 t-test example on contrast peception
Estimated Impact705

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] [Background Contex...] [2009-11-16 16:45:07] [74be16979710d4c4e7c6647856088456]
- R       [Aston University Statistical Software] [Background Contex...] [2009-11-16 17:12:31] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-19 13:37:10] [cf93fcabe70097db6e8467c3ff511999]
-   P       [Aston University Statistical Software] [workshop 7 percep...] [2009-11-19 13:38:20] [74c3e16d305231b554ac00a07222fb5c]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:41:26] [5767bd6424518d00d47b9a54e25f82fa]
-   P       [Aston University Statistical Software] [Scenario 3 - work...] [2009-11-19 13:45:51] [cb1b5098fbe5e6779d164349741d91ea]
-             [Aston University Statistical Software] [Scenario 3 - comp...] [2009-11-20 09:29:01] [cb1b5098fbe5e6779d164349741d91ea]
-   P       [Aston University Statistical Software] [Scenario3] [2009-11-19 13:50:12] [68b4a0d51ad214b1a79d67393064cb7e]
-   P       [Aston University Statistical Software] [StatsW7W7] [2009-11-19 13:53:16] [66f61a2d5ef80b1eafe31e5651ad0889]
-   P       [Aston University Statistical Software] [scen3comp7] [2009-11-19 13:53:52] [6754037f2a7547483397efade45eb176]
-   P       [Aston University Statistical Software] [scenario 3] [2009-11-19 14:58:25] [21e0dc66e9338653c0fd8541e5a86956]
-           [Aston University Statistical Software] [] [2009-11-19 16:07:53] [cefd16489930d37792a2dfe143e1dd64]
-   P       [Aston University Statistical Software] [Compendium 7 Perc...] [2009-11-19 17:22:43] [da8ef2b5f272f3481b509cba20833cef]
-           [Aston University Statistical Software] [] [2009-11-19 17:38:37] [13acda3448ed8cf54a30798510df96c6]
-   P       [Aston University Statistical Software] [week 7 scenario 3] [2009-11-19 17:48:18] [a2ec18f77143ca7c2255feafca790c81]
-   P       [Aston University Statistical Software] [week 7 scenario 3] [2009-11-19 17:48:18] [a2ec18f77143ca7c2255feafca790c81]
-   P       [Aston University Statistical Software] [compendium week 7.3] [2009-11-19 18:17:48] [305912f4b3b721b49db101304fd686ce]
-           [Aston University Statistical Software] [Clutter vs unclutter] [2009-11-19 18:52:37] [c92a6f82e2c829eb84d446c49982f3a5]
-           [Aston University Statistical Software] [a-081403196] [2009-11-19 21:22:58] [869dc8c90da15910a169a569d8b6a5c9]
-   P       [Aston University Statistical Software] [Pattern contrast] [2009-11-20 10:19:28] [7b5e237c5dc223226d9c139a76db490f]
-             [Aston University Statistical Software] [comp7scenario3] [2009-11-23 21:14:57] [d5ced5f570beeeb823add0810690c151]
-   P       [Aston University Statistical Software] [Cluttered vs uncl...] [2009-11-20 11:48:42] [7756e15f439c0db38d660c862abbb747]
-   P       [Aston University Statistical Software] [Aston 1 - Compend...] [2009-11-20 13:07:43] [805bb075a206a46de48cd5a4e54bab5d]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-20 17:38:21] [c7d0e78e2fa8da0e0b2bee0011c20ac0]
-   P       [Aston University Statistical Software] [week 7 scenario 3] [2009-11-20 18:38:16] [a2ec18f77143ca7c2255feafca790c81]
-   P       [Aston University Statistical Software] [wk7 sc3] [2009-11-20 19:50:15] [f0a7b9ce333a507984a56d87311bd9a6]
-   P       [Aston University Statistical Software] [week 7] [2009-11-20 22:35:09] [106fd92ebdfc37d50078b47c695098c5]
- R  D      [Aston University Statistical Software] [scenario 3] [2009-11-21 10:16:16] [19a2c65e68e6122b331d75519d2b8dfb]
-   P       [Aston University Statistical Software] [Miss] [2009-11-21 16:05:06] [5f1089851b4a8c80374f11242163d001]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-21 19:53:58] [86e2607fe3e679f5e9134bea06e96cc2]
-   P       [Aston University Statistical Software] [Perceptual Experi...] [2009-11-21 20:16:24] [9ec8625bcd2de623b0f5cf28f1a68bfc]
- R PD      [Aston University Statistical Software] [compendium 7] [2009-11-21 21:20:34] [0dff2a868db4b5bcbf64703b84410784]
-   P       [Aston University Statistical Software] [] [2009-11-21 23:19:55] [152c647ef1b3fcda6f0c96fe997a4323]
-   P       [Aston University Statistical Software] [] [2009-11-22 11:16:35] [a120050d9c71216a504f7d26958aa6f2]
- R PD      [Aston University Statistical Software] [] [2009-11-22 14:11:43] [bc03f19b1cbb14de25d671293ac6c773]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-22 15:31:07] [012a64ac316c94a67eaef3285dac2cf7]
-             [Aston University Statistical Software] [scenario 3 ] [2009-11-23 22:10:17] [eae3c515ef9524c5daa9c2183ae76b35]
-   P       [Aston University Statistical Software] [workshop] [2009-11-22 15:36:01] [7ee8584ae92dbbc2a823887b8397aaa8]
-   P       [Aston University Statistical Software] [scenario 3] [2009-11-22 19:10:12] [5dc7005d34a73335c134f60a027c81b1]
-   P         [Aston University Statistical Software] [patterns] [2009-11-23 16:31:15] [7d07ebb7f3978280240b500f174a2af2]
-   P       [Aston University Statistical Software] [Scenario 2] [2009-11-22 19:49:18] [153000c0b3bd367036e4d581452d08df]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-22 19:50:51] [153000c0b3bd367036e4d581452d08df]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-22 21:23:16] [74be16979710d4c4e7c6647856088456]
-   P       [Aston University Statistical Software] [Compendium week 7...] [2009-11-22 22:34:49] [6eda787be5edb6117a9d66f6a95606a2]
-   P       [Aston University Statistical Software] [] [2009-11-23 01:53:22] [d67ed87d94f8374cf5eb71740c29a070]
-   P       [Aston University Statistical Software] [Scenario 3] [2009-11-23 10:06:58] [885328d98a95a442af53d0763bccf325]
-   P       [Aston University Statistical Software] [part3] [2009-11-23 11:03:28] [f894c941edfbe86ae91b01acfc2a02b5]
- R PD      [Aston University Statistical Software] [Perceptual judgement] [2009-11-23 11:31:19] [a58114c03403c4a3c11c78968b4ee919]
-   P       [Aston University Statistical Software] [Scenario 3 Results] [2009-11-23 12:02:23] [991f3c16ff1ec6689e9f3866d072593e]
-   P       [Aston University Statistical Software] [Week 7 Scenario 3] [2009-11-23 14:19:15] [6e3a40b7018c72cc1e69bfcec9647d10]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.06	0.24
0.12	0.73
0.61	0.53
0.89	0.44
0.59	0.45
0.31	0.07
0.67	0.28
0.60	0.45
0.23	0.73
0.44	0.41
0.60	0.67
0.21	0.45
0.66	0.06
0.39	0.33
0.78	0.42
0.57	0.41
0.38	0.52
0.59	0.49
0.48	0.55
0.44	0.13
0.30	0.45
0.63	0.19
0.43	0.20
0.74	0.07
0.48	0.11
0.77	0.45
0.37	0.40
0.61	0.45
0.49	0.19
0.46	0.51

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57344&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57344&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57344&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'Gwilym Jenkins' @ 72.249.127.135






T-Test
Mean10.49667
Mean20.37933
T Statistic2.35532
P-value0.02192
Lower Confidence Limit0.01761
Upper Confidence Limit0.21706

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 0.49667 \tabularnewline
Mean2 & 0.37933 \tabularnewline
T Statistic & 2.35532 \tabularnewline
P-value & 0.02192 \tabularnewline
Lower Confidence Limit & 0.01761 \tabularnewline
Upper Confidence Limit & 0.21706 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57344&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]0.49667[/C][/ROW]
[ROW][C]Mean2[/C][C]0.37933[/C][/ROW]
[ROW][C]T Statistic[/C][C]2.35532[/C][/ROW]
[ROW][C]P-value[/C][C]0.02192[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]0.01761[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]0.21706[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57344&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57344&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
Mean10.49667
Mean20.37933
T Statistic2.35532
P-value0.02192
Lower Confidence Limit0.01761
Upper Confidence Limit0.21706






Standard Deviations
Variable 10.19709
Variable 20.1887

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 0.19709 \tabularnewline
Variable 2 & 0.1887 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57344&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]0.19709[/C][/ROW]
[ROW][C]Variable 2[/C][C]0.1887[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57344&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57344&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 10.19709
Variable 20.1887


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = paired ; par6 = 0.0 ; par7 = .95 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .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')