Free Statistics

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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 computationMon, 07 Nov 2011 04:34:35 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/07/t1320658526g458kqup24hiuvo.htm/, Retrieved Thu, 18 Aug 2022 14:48:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=140082, Retrieved Thu, 18 Aug 2022 14:48:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordst-test
Estimated Impact891
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 16:26:06] [74be16979710d4c4e7c6647856088456]
- R     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 17:22:16] [74be16979710d4c4e7c6647856088456]
-   P     [T-Tests] [Morning Sickness ...] [2010-11-09 11:12:43] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [T-Tests] [Morning Sickness ...] [2011-11-07 09:34:35] [a9208f4f8d3b118336aae915785f2bd9] [Current]
- R             [T-Tests] [Drug Trial Descri...] [2011-11-09 19:35:12] [68da2a3ec537521c4857f5c0bd5ed145]
- R             [T-Tests] [Drug Trial Descri...] [2011-11-09 19:35:12] [68da2a3ec537521c4857f5c0bd5ed145]
-   P             [T-Tests] [Drugs Trial - one...] [2011-11-10 12:18:13] [68da2a3ec537521c4857f5c0bd5ed145]
- RMPD          [Histogram, QQplot and Density] [Drugs Trial] [2011-11-09 20:13:45] [68da2a3ec537521c4857f5c0bd5ed145]
-    D          [T-Tests] [Pilot Training] [2011-11-09 20:32:38] [68da2a3ec537521c4857f5c0bd5ed145]
- R PD          [T-Tests] [Perceptual Experi...] [2011-11-10 09:26:46] [68da2a3ec537521c4857f5c0bd5ed145]
-   P             [T-Tests] [Perceptual Judgem...] [2011-11-10 09:30:31] [68da2a3ec537521c4857f5c0bd5ed145]
-   P               [T-Tests] [Perceptual Judgem...] [2011-11-10 09:37:40] [68da2a3ec537521c4857f5c0bd5ed145]
- R             [T-Tests] [TTest] [2011-11-10 12:06:49] [803f089ae787812348a044658060aefb]
-   P             [T-Tests] [T-Test Greater] [2011-11-10 12:19:29] [803f089ae787812348a044658060aefb]
-   PD              [T-Tests] [T-Test Scenario 2] [2011-11-10 12:33:55] [803f089ae787812348a044658060aefb]
-   PD                [T-Tests] [T-Test Scenario 3] [2011-11-10 12:41:48] [803f089ae787812348a044658060aefb]
-   P               [T-Tests] [T-Test Lower] [2011-11-10 17:50:10] [74be16979710d4c4e7c6647856088456]
- R             [T-Tests] [Graph showing res...] [2011-11-10 12:13:34] [c14255f5a914c4d7aab5f6cd60318f9b]
-   P             [T-Tests] [The results of mo...] [2011-11-10 12:18:37] [c14255f5a914c4d7aab5f6cd60318f9b]
-    D            [T-Tests] [Pilot methods] [2011-11-10 12:34:31] [c14255f5a914c4d7aab5f6cd60318f9b]
-    D            [T-Tests] [Pilot methods] [2011-11-10 12:34:31] [c14255f5a914c4d7aab5f6cd60318f9b]
-    D            [T-Tests] [Standard and new ...] [2011-11-10 12:35:27] [c14255f5a914c4d7aab5f6cd60318f9b]
- R             [T-Tests] [boxplot for drug/...] [2011-11-10 12:14:56] [1a620483555ed9c2c7b5616febb12cf1]
- R             [T-Tests] [Morning sickenss ...] [2011-11-10 12:16:07] [8b1b3b62029043ad14f9403dfa37ed82]
-   PD            [T-Tests] [Scenario 2] [2011-11-10 12:22:29] [8b1b3b62029043ad14f9403dfa37ed82]
-   PD            [T-Tests] [scenario 3] [2011-11-10 12:54:37] [8b1b3b62029043ad14f9403dfa37ed82]
- R             [T-Tests] [Two tailed test o...] [2011-11-10 12:17:39] [5ab72825a06ca2a73c828d10c85d14d8]
- R P           [T-Tests] [One tailed test] [2011-11-10 12:16:06] [8c60ff0ea9ca69d00e25d4c2af5148c1]
- R P           [T-Tests] [T Test One Tailed] [2011-11-10 12:16:41] [eaa1051df62e3cae1e5cf7c042ac8911]
- R PD          [T-Tests] [boxplot for pilot...] [2011-11-10 12:24:04] [1a620483555ed9c2c7b5616febb12cf1]
- R             [T-Tests] [] [2011-11-10 12:26:50] [0e3849a58d2010f680210bfa36dadcb4]
- R  D          [T-Tests] [] [2011-11-10 12:31:00] [0e3849a58d2010f680210bfa36dadcb4]
-   PD            [T-Tests] [] [2011-11-10 12:32:33] [0e3849a58d2010f680210bfa36dadcb4]
- R P           [T-Tests] [Week 6 Compendium] [2011-11-10 12:31:31] [ed537d185cce52b1ebf7e35bc2be238e]
- R             [T-Tests] [week 6 compendium...] [2011-11-10 12:31:11] [7f89eac12a05157a4b7c075c574c1c14]
- R  D          [T-Tests] [Week 6 Compendium] [2011-11-10 12:33:12] [ed537d185cce52b1ebf7e35bc2be238e]
- R  D          [T-Tests] [T Test Two Tailed] [2011-11-10 12:33:39] [eaa1051df62e3cae1e5cf7c042ac8911]
- R  D          [T-Tests] [new v old] [2011-11-10 12:33:34] [8c60ff0ea9ca69d00e25d4c2af5148c1]
- R             [T-Tests] [pregnancy drugs r...] [2011-11-10 12:31:12] [71cac728b89a34ca01732b1dc0bc9099]
- R PD          [T-Tests] [Week 6 Compendium] [2011-11-10 12:34:28] [ed537d185cce52b1ebf7e35bc2be238e]
- R             [T-Tests] [wk 6 t test ] [2011-11-10 12:34:27] [2ab645d57af3771f73e43c325a328185]
-                 [T-Tests] [wk 6 scenario 2] [2011-11-13 10:57:02] [74be16979710d4c4e7c6647856088456]
- RM            [T-Tests] [] [2011-11-10 12:35:19] [6920cf7129d32b5e1d3344311b2c82d4]
- R  D          [T-Tests] [T Test Two Tailed] [2011-11-10 12:35:42] [eaa1051df62e3cae1e5cf7c042ac8911]
- R             [T-Tests] [Pregnant women, d...] [2011-11-10 12:34:13] [9a61272a736950814aceafb9bfc5e47e]
- RM            [T-Tests] [week 6 blog - sen. 1] [2011-11-10 12:35:45] [74be16979710d4c4e7c6647856088456]
- R             [T-Tests] [morning sickness ...] [2011-11-10 12:36:34] [74be16979710d4c4e7c6647856088456]
- RM            [T-Tests] [T-test for drug u...] [2011-11-10 12:34:00] [09253b89c68efd7a460a267273a9d6e3]
- R PD          [T-Tests] [T Test One Tailed...] [2011-11-10 12:39:52] [eaa1051df62e3cae1e5cf7c042ac8911]
- R PD          [T-Tests] [clutter ot not] [2011-11-10 12:40:58] [8c60ff0ea9ca69d00e25d4c2af5148c1]
- R P           [T-Tests] [ttestscenario] [2011-11-10 12:42:15] [113a1c41b2127daa39468f799d579e88]
- RM            [T-Tests] [scenario 1] [2011-11-10 12:44:27] [4d6fcff7a029721f667cce838c3bc5ec]

[Truncated]
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Dataseries X:
68.95	70.18
70.84	69.94
70.26	69.61
70.93	71.39
70.71	72.54
70.73	70.48
70.20	70.48
69.76	71.68
71.46	70.59
70.31	71.61
69.24	70.56
70.94	72.74
68.98	72.63
71.16	71.58
69.96	70.14
69.66	71.22
70.20	70.72
69.99	71.37
71.97	69.73
68.29	71.29
67.67	73.19
70.07	70.64
70.89	69.30
69.66	71.76
71.12	70.28
70.60	69.77
70.09	70.37
70.55	71.70
71.63	70.85
69.30	71.07




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=140082&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]0 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=140082&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140082&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 time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







T-Test
Mean170.204
Mean270.98033
T Statistic-3.08443
P-value0.00312
Lower Confidence Limit-1.28016
Upper Confidence Limit-0.27251

\begin{tabular}{lllllllll}
\hline
T-Test \tabularnewline
Mean1 & 70.204 \tabularnewline
Mean2 & 70.98033 \tabularnewline
T Statistic & -3.08443 \tabularnewline
P-value & 0.00312 \tabularnewline
Lower Confidence Limit & -1.28016 \tabularnewline
Upper Confidence Limit & -0.27251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=140082&T=1

[TABLE]
[ROW][C]T-Test[/C][/ROW]
[ROW][C]Mean1[/C][C]70.204[/C][/ROW]
[ROW][C]Mean2[/C][C]70.98033[/C][/ROW]
[ROW][C]T Statistic[/C][C]-3.08443[/C][/ROW]
[ROW][C]P-value[/C][C]0.00312[/C][/ROW]
[ROW][C]Lower Confidence Limit[/C][C]-1.28016[/C][/ROW]
[ROW][C]Upper Confidence Limit[/C][C]-0.27251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=140082&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140082&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
Mean170.204
Mean270.98033
T Statistic-3.08443
P-value0.00312
Lower Confidence Limit-1.28016
Upper Confidence Limit-0.27251







Standard Deviations
Variable 10.96628
Variable 20.98326

\begin{tabular}{lllllllll}
\hline
Standard Deviations \tabularnewline
Variable 1 & 0.96628 \tabularnewline
Variable 2 & 0.98326 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=140082&T=2

[TABLE]
[ROW][C]Standard Deviations[/C][/ROW]
[ROW][C]Variable 1[/C][C]0.96628[/C][/ROW]
[ROW][C]Variable 2[/C][C]0.98326[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=140082&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140082&T=2

As an alternative you can also use a QR Code:  

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

Standard Deviations
Variable 10.96628
Variable 20.98326



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]), 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')