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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 09:45:07 -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/t1258390046n6jon4ace9zez9k.htm/, Retrieved Fri, 02 Dec 2022 10:00:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57343, Retrieved Fri, 02 Dec 2022 10:00:22 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAston University PY2224 artificial data on perception of contrast on cluttered and uncluttered backgrounds - for t-test demonstration
Estimated Impact229
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] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R       [Aston University Statistical Software] [Background Contex...] [2009-11-16 17:12:31] [74be16979710d4c4e7c6647856088456]
-   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]

[Truncated]
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Dataseries X:
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




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=57343&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=57343&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57343&T=0

As an alternative you can also use a 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=57343&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=57343&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57343&T=1

As an alternative you can also use a 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



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')
}