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Author's title

Author*Unverified author*
R Software ModuleIan.Hollidayrwasp_Tests to Compare Two Means.wasp
Title produced by softwareT-Tests
Date of computationTue, 30 Nov 2010 18:04:40 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/30/t1291140229837gopfrbnf9359.htm/, Retrieved Sat, 27 Apr 2024 06:28:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=103709, Retrieved Sat, 27 Apr 2024 06:28:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaired t-test
Estimated Impact781
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Test of Two Means] [2009-11-10 17:16:17] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Aston University Statistical Software] [Compare Two Means] [2009-11-11 08:09:40] [74be16979710d4c4e7c6647856088456]
-    D    [Aston University Statistical Software] [PY2236 Week 6 dat...] [2009-11-11 12:53:10] [74be16979710d4c4e7c6647856088456]
-   P       [T-Tests] [Week 9 PY2236] [2010-11-24 14:41:08] [74be16979710d4c4e7c6647856088456]
-    D          [T-Tests] [PY2236 Week 9 Dat...] [2010-11-30 18:04:40] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D            [T-Tests] [Part One: Categor...] [2010-12-09 17:29:03] [0aad37657179c4ab6867a73eb1b2180e]
-    D            [T-Tests] [Part Two: Categor...] [2010-12-09 17:41:13] [0aad37657179c4ab6867a73eb1b2180e]
-                 [T-Tests] [Part 1 results] [2010-12-11 12:17:33] [88bba52b01540967ecde38774018061d]
-   P             [T-Tests] [part 2 results] [2010-12-11 12:35:32] [88bba52b01540967ecde38774018061d]
-   P             [T-Tests] [Categorical Perce...] [2010-12-26 12:49:20] [abe244594d47c647168999d9ae7a699b]
-   P             [T-Tests] [Categorical Perce...] [2010-12-26 13:01:39] [abe244594d47c647168999d9ae7a699b]
-   PD            [T-Tests] [Categorical Perce...] [2010-12-26 13:06:22] [abe244594d47c647168999d9ae7a699b]
-   PD            [T-Tests] [Categorical Perce...] [2010-12-26 13:14:34] [abe244594d47c647168999d9ae7a699b]
-    D            [T-Tests] [Cat vs Non Cat Re...] [2011-01-17 11:41:23] [404b7cc4dc7a1aee40b74eb017dcd509]
-                   [T-Tests] [Categorical vs No...] [2011-01-17 22:02:14] [f660ecd0d5dede2e12fd79d628c305aa]
-    D            [T-Tests] [Verbal vs No Verb...] [2011-01-17 11:47:02] [404b7cc4dc7a1aee40b74eb017dcd509]
-                   [T-Tests] [Verbal interferen...] [2011-01-17 22:08:41] [3bda7d0113b56426af4979274b798dbe]
-                 [T-Tests] [PY2236 CW - Resea...] [2011-01-17 14:03:22] [56deace5afbbe22352c3841e29b79134]
-   P             [T-Tests] [PY2236 CW - Resea...] [2011-01-17 14:15:28] [56deace5afbbe22352c3841e29b79134]
-                   [T-Tests] [PY2236 CW Researc...] [2011-01-21 11:21:12] [56deace5afbbe22352c3841e29b79134]
-                 [T-Tests] [Cond.1+2] [2011-01-17 19:19:54] [d418e7de1099d56e55644d2682c4d34e]
-   P             [T-Tests] [Cond.1+3] [2011-01-17 19:24:28] [d418e7de1099d56e55644d2682c4d34e]
-   P             [T-Tests] [Cond.3+4] [2011-01-17 19:53:41] [d418e7de1099d56e55644d2682c4d34e]
-                 [T-Tests] [] [2011-01-18 15:01:08] [5f3db3d90d126a95d54183950148004f]
-    D            [T-Tests] [langcomm1] [2011-01-18 17:52:18] [05f6bac91e3f566f17ccf54f910765b8]
-                 [T-Tests] [categorical vs no...] [2011-01-18 19:55:02] [7834e1577c2c58f19beb1acf7f174e3f]
-   P             [T-Tests] [Categorical respo...] [2011-01-18 20:03:34] [7834e1577c2c58f19beb1acf7f174e3f]
-   P             [T-Tests] [] [2011-01-19 12:21:08] [5f3db3d90d126a95d54183950148004f]
-   PD            [T-Tests] [wilcoxon part1] [2011-01-19 15:09:59] [920d86197c99e892f7cfc71aadebcde0]
-   PD            [T-Tests] [wilcoxon part2] [2011-01-19 15:15:40] [920d86197c99e892f7cfc71aadebcde0]
-                 [T-Tests] [Boxplot and T-Tes...] [2011-01-19 17:51:19] [22b4fe8d147d2ab580379f58ae326851]
-                 [T-Tests] [Box Plot and T-Te...] [2011-01-19 18:24:08] [22b4fe8d147d2ab580379f58ae326851]
-   P             [T-Tests] [Boxplot and T-Tes...] [2011-01-19 18:56:36] [22b4fe8d147d2ab580379f58ae326851]
- R               [T-Tests] [cat perception od...] [2011-01-19 20:40:13] [74be16979710d4c4e7c6647856088456]
- R P             [T-Tests] [verbal interference] [2011-01-19 20:45:55] [74be16979710d4c4e7c6647856088456]
- R               [T-Tests] [effects of v.i on...] [2011-01-19 20:54:32] [74be16979710d4c4e7c6647856088456]
- R               [T-Tests] [categorical vs. n...] [2011-01-19 21:20:03] [cf42e4b21c34e98ab0a195af47af01df]
- R P             [T-Tests] [ytgrd] [2011-01-19 21:36:13] [74be16979710d4c4e7c6647856088456]
-                 [T-Tests] [categorical vs. n...] [2011-01-19 21:49:22] [cf42e4b21c34e98ab0a195af47af01df]
-                   [T-Tests] [categorical vs. n...] [2011-01-19 21:54:30] [cf42e4b21c34e98ab0a195af47af01df]
-   P                 [T-Tests] [categorical respo...] [2011-01-19 21:59:06] [cf42e4b21c34e98ab0a195af47af01df]
-                       [T-Tests] [categorical respo...] [2011-01-19 22:02:15] [cf42e4b21c34e98ab0a195af47af01df]
-                 [T-Tests] [] [2011-01-19 21:49:27] [74be16979710d4c4e7c6647856088456]
-                   [T-Tests] [] [2011-01-19 22:09:07] [74be16979710d4c4e7c6647856088456]
-   P                 [T-Tests] [] [2011-01-19 22:23:06] [74be16979710d4c4e7c6647856088456]
-   P                   [T-Tests] [] [2011-01-19 22:24:26] [74be16979710d4c4e7c6647856088456]
-   P                   [T-Tests] [] [2011-01-19 22:24:26] [74be16979710d4c4e7c6647856088456]
-                       [T-Tests] [Categorical Respo...] [2011-01-20 20:20:23] [74be16979710d4c4e7c6647856088456]
-                     [T-Tests] [Categorical Vs No...] [2011-01-20 19:38:14] [74be16979710d4c4e7c6647856088456]
-   P                   [T-Tests] [Categorical Respo...] [2011-01-20 19:47:32] [74be16979710d4c4e7c6647856088456]
-                 [T-Tests] [] [2011-01-19 21:49:27] [74be16979710d4c4e7c6647856088456]
-   P             [T-Tests] [Boxplot and T-Tes...] [2011-01-19 22:03:17] [22b4fe8d147d2ab580379f58ae326851]
-   P             [T-Tests] [] [2011-01-19 22:17:46] [74be16979710d4c4e7c6647856088456]

[Truncated]
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Dataseries X:
11	1	7	5
11	1	7	5
5	7	7	5
12	0	8	4
4	8	4	8
11	1	10	2
10	2	8	4
10	2	8	4
11	1	8	4
8	4	8	4
5	7	6	6
9	3	8	4
11	1	9	3
10	2	5	7
11	1	7	5
6	6	6	6
11	1	8	4
5	7	4	8
4	8	6	6
12	0	8	4
11	1	10	2
11	1	11	1
12	0	10	2
11	1	9	3
2	10	11	1
12	0	10	2
12	0	11	1
11	1	9	3
9	3	10	2
12	0	9	3
12	0	8	4
10	2	7	5
10	2	11	1
12	0	10	2
6	6	7	5
10	2	10	2
12	0	8	4
7	5	4	8
11	1	8	4
10	2	8	4
11	1	10	2
12	0	11	1
5	7	2	10
10	2	8	4
4	8	3	9
9	3	9	3
12	0	11	1
11	1	7	5
11	1	7	5
8	4	9	3
12	0	7	5
11	1	7	5
12	0	9	3
11	1	9	3
11	1	5	7
12	0	8	4
12	0	10	2
11	1	8	4
8	4	11	1
12	0	8	4
10	2	10	2
12	0	8	4
9	3	6	6
12	0	8	4
4	8	3	9
10	2	10	2
8	4	9	3
9	3	9	3
5	7	6	6
11	1	5	7
12	0	8	4
12	0	10	2
11	1	6	6
11	1	12	0
11	1	8	4
11	1	11	1
12	0	8	4
11	1	8	4
11	1	8	4
10	2	8	4
11	1	7	5
9	3	11	1
12	0	6	6
9	3	5	7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103709&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103709&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103709&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'George Udny Yule' @ 72.249.76.132







Students T-Test
StatisticP-value
Students T-Test14.257310

\begin{tabular}{lllllllll}
\hline
Students T-Test \tabularnewline
 & Statistic & P-value \tabularnewline
Students T-Test & 14.25731 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=103709&T=1

[TABLE]
[ROW][C]Students T-Test[/C][/ROW]
[ROW][C][/C][C]Statistic[/C][C]P-value[/C][/ROW]
[ROW][C]Students T-Test[/C][C]14.25731[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=103709&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=103709&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Students T-Test
StatisticP-value
Students T-Test14.257310



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Students T-Test ; par5 = paired ; par6 = 0.0 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = Students T-Test ; par5 = paired ; par6 = 0.0 ; par7 = ; 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)
if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE
x <- t(y)
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 == 'Students T-Test')
{
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Students T-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)
T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6)
a<-table.row.start(a)
a<-table.element(a,'Students T-Test',1,TRUE)
a<-table.element(a,round(T$statistic[[1]], digits=5) )
a<-table.element(a,round(T$p.value, digits=5) )
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
}