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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 10:22:16 -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/t1258392202f99pi7rsez8zfz5.htm/, Retrieved Sat, 21 Dec 2024 14:10:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57346, Retrieved Sat, 21 Dec 2024 14:10:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAston University PY2224 artificial data on mornign sickness drug study for t-test examples
Estimated Impact669

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] [Morning Sickness ...] [2009-11-16 16:26:06] [74be16979710d4c4e7c6647856088456]
- R       [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 17:22:16] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P       [Aston University Statistical Software] [Scenario 1] [2009-11-19 12:01:07] [5dc7005d34a73335c134f60a027c81b1]
-   P       [Aston University Statistical Software] [week 7 scenario 1] [2009-11-19 12:24:14] [a2ec18f77143ca7c2255feafca790c81]
-   P       [Aston University Statistical Software] [Workshop 7 Drug t...] [2009-11-19 12:24:58] [74c3e16d305231b554ac00a07222fb5c]
-   P       [Aston University Statistical Software] [Morning sickness ...] [2009-11-19 12:29:46] [7b5e237c5dc223226d9c139a76db490f]
-             [Aston University Statistical Software] [comp7] [2009-11-23 20:38:57] [d5ced5f570beeeb823add0810690c151]
-   P       [Aston University Statistical Software] [Aston 1 - Compend...] [2009-11-19 12:33:01] [805bb075a206a46de48cd5a4e54bab5d]
-   P       [Aston University Statistical Software] [Aston 1 Compendium 7] [2009-11-19 12:32:56] [31938d087c55cf67127a01ef1e8f38ba]
-   P       [Aston University Statistical Software] [] [2009-11-19 12:28:34] [d67ed87d94f8374cf5eb71740c29a070]
-   P       [Aston University Statistical Software] [pregnant women] [2009-11-19 12:34:46] [7d07ebb7f3978280240b500f174a2af2]
-   P       [Aston University Statistical Software] [Drug/no drug boxplot] [2009-11-19 12:47:14] [c92a6f82e2c829eb84d446c49982f3a5]
-   P       [Aston University Statistical Software] [scenario 1] [2009-11-19 12:57:53] [ace3ddd242f59ba51a4e2f7ba8ca9d22]
-   P       [Aston University Statistical Software] [Compendium 7 Morn...] [2009-11-19 13:01:04] [da8ef2b5f272f3481b509cba20833cef]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:14:08] [cefd16489930d37792a2dfe143e1dd64]
-   P       [Aston University Statistical Software] [Compendium 7 Morn...] [2009-11-19 13:21:36] [da8ef2b5f272f3481b509cba20833cef]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:23:52] [21e0dc66e9338653c0fd8541e5a86956]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:22:25] [5767bd6424518d00d47b9a54e25f82fa]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:28:10] [a120050d9c71216a504f7d26958aa6f2]
-    D        [T-Tests] [] [2010-06-02 10:12:14] [74be16979710d4c4e7c6647856088456]
-    D          [T-Tests] [] [2010-09-01 14:26:32] [d2db1c86d0f5afc23d9384801205d08d]
-   P       [Aston University Statistical Software] [scenario1] [2009-11-19 13:22:42] [e50002609a86c8cc3f92b69a15f3a57a]
-   P       [Aston University Statistical Software] [scen1comp7] [2009-11-19 13:20:47] [6754037f2a7547483397efade45eb176]
- R PD        [Aston University Statistical Software] [scen1comp7] [2009-11-20 09:11:07] [6754037f2a7547483397efade45eb176]
-   P       [Aston University Statistical Software] [Scenario 1] [2009-11-19 13:29:04] [cf93fcabe70097db6e8467c3ff511999]
-   P       [Aston University Statistical Software] [Scenario 1 - work...] [2009-11-19 13:30:35] [cb1b5098fbe5e6779d164349741d91ea]
-             [Aston University Statistical Software] [Scenario 1 - comp...] [2009-11-20 09:24:10] [cb1b5098fbe5e6779d164349741d91ea]
-   P       [Aston University Statistical Software] [Stats week7] [2009-11-19 13:34:44] [66f61a2d5ef80b1eafe31e5651ad0889]
-   PD        [Aston University Statistical Software] [L&Canalysisa] [2009-11-19 22:46:22] [66f61a2d5ef80b1eafe31e5651ad0889]
-   P       [Aston University Statistical Software] [Drug v placebo] [2009-11-19 13:33:01] [c92a6f82e2c829eb84d446c49982f3a5]
-   P       [Aston University Statistical Software] [Workshop 7 - t test] [2009-11-19 13:31:34] [d595051388917a71ceadb6354fdcb637]
-   P       [Aston University Statistical Software] [Wk 7 WShop T-Test...] [2009-11-19 13:38:48] [c519646407a489a26f129bdc22b2e203]
-   P       [Aston University Statistical Software] [Scenario1] [2009-11-19 13:38:36] [68b4a0d51ad214b1a79d67393064cb7e]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:39:26] [6a948b41dd90750e8d6215decf7967af]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:39:26] [e9dbed8f63950395c9f0d093d021a3af]
-   P       [Aston University Statistical Software] [Morning Sickness] [2009-11-19 13:41:19] [226e457c23f16abdaf22fe48e6e411fd]
-   P       [Aston University Statistical Software] [] [2009-11-19 13:39:03] [bc03f19b1cbb14de25d671293ac6c773]
-   P       [Aston University Statistical Software] [] [2009-11-19 15:57:39] [13acda3448ed8cf54a30798510df96c6]
- R PD      [Aston University Statistical Software] [scenario 1] [2009-11-19 16:31:49] [19a2c65e68e6122b331d75519d2b8dfb]
-   P       [Aston University Statistical Software] [Workshop 7] [2009-11-19 17:09:45] [c0fd4f9a7f3faddc4844dbb572f0833e]
-   P       [Aston University Statistical Software] [a-081403196] [2009-11-19 18:03:05] [869dc8c90da15910a169a569d8b6a5c9]
-   PD        [Aston University Statistical Software] [a-081403196] [2009-11-29 00:58:48] [869dc8c90da15910a169a569d8b6a5c9]
-    D          [Aston University Statistical Software] [a-081403196] [2009-11-29 01:02:42] [869dc8c90da15910a169a569d8b6a5c9]
-   P       [Aston University Statistical Software] [compendium week 7.1] [2009-11-19 18:10:23] [305912f4b3b721b49db101304fd686ce]
-   P       [Aston University Statistical Software] [Wk7 scenario 1] [2009-11-19 20:24:06] [f0a7b9ce333a507984a56d87311bd9a6]
-   P       [Aston University Statistical Software] [wk7 scen1] [2009-11-19 20:37:21] [f0a7b9ce333a507984a56d87311bd9a6]
-   P       [Aston University Statistical Software] [comp 1] [2009-11-20 10:31:57] [e8bb49267f0b4e611f4778412d0811f2]
-   P       [Aston University Statistical Software] [comp 2] [2009-11-20 10:33:55] [e8bb49267f0b4e611f4778412d0811f2]
-   P       [Aston University Statistical Software] [Placebo Vs Drug i...] [2009-11-20 11:22:36] [7756e15f439c0db38d660c862abbb747]
-   P       [Aston University Statistical Software] [Scenario 1] [2009-11-20 17:24:22] [c7d0e78e2fa8da0e0b2bee0011c20ac0]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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

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=57346&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=57346&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57346&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
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=57346&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=57346&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57346&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
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=57346&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=57346&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57346&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 10.96628
Variable 20.98326


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')