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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_onesampletests_mean.wasp
Title produced by softwareOne Sample Tests about the Mean
Date of computationWed, 10 Nov 2010 18:39:59 +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/10/t1289414303agim8uzemt77qs6.htm/, Retrieved Sun, 28 Apr 2024 06:06:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93107, Retrieved Sun, 28 Apr 2024 06:06:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [One Sample Tests about the Mean] [vraag 2 hypothese 1] [2010-11-10 18:39:59] [03bcbcd7d4d520211354f2dc2f1a82f9] [Current]
-   PD    [One Sample Tests about the Mean] [] [2010-11-10 18:41:34] [c895532cb7349383dee5125244983cc8]
-    D      [One Sample Tests about the Mean] [] [2010-11-10 18:42:30] [c895532cb7349383dee5125244983cc8]
-             [One Sample Tests about the Mean] [] [2010-11-11 12:02:30] [c895532cb7349383dee5125244983cc8]
-           [One Sample Tests about the Mean] [] [2010-11-11 12:00:35] [c895532cb7349383dee5125244983cc8]
-         [One Sample Tests about the Mean] [] [2010-11-11 11:52:13] [c895532cb7349383dee5125244983cc8]
Feedback Forum
2010-11-17 10:28:50 [Els Nijs] [reply] 
Je hebt voor het oplossen van vraag 2 uit workshop 1 part 1, gebruik gemaakt van de Testing Mean (unknown Variance) - p-value (new) test. In de les hebben we gebruik gemaakt van Testing Mean with unknown Variance - Critical Value. Probeer deze berekening eens, dan ga je wel de juiste oplossing vinden en kan je vervolgens een interpretatie geven aan je gegevens. Je gaat dan kijken naar het betrouwbaarheidsinterval. Je kan ook via de p-waarde werken, maar ik weet niet zeker of jou berekening dan klopt. Als je uw p-waarde bekijkt, moet je de nulhypothese accepteren en dat doe je ook als je naar het betrouwbaarheidsinterval kijkt. Ik werk persoonlijk liever met het betrouwbaarheidsinterval.

Deze opmerking geldt voor alle hypotheses die je teste in vraag 2.

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Dataset

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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93107&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93107&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93107&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






One Sample t-test
H00
Alternativegreater
CI0.95
Sample Mean0.171428571428571
T-Test3.22192121879336
DF104
P-Value0.000850220161162765

\begin{tabular}{lllllllll}
\hline
One Sample t-test \tabularnewline
H0 & 0 \tabularnewline
Alternative & greater \tabularnewline
CI & 0.95 \tabularnewline
Sample Mean & 0.171428571428571 \tabularnewline
T-Test & 3.22192121879336 \tabularnewline
DF & 104 \tabularnewline
P-Value & 0.000850220161162765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93107&T=1

[TABLE]
[ROW][C]One Sample t-test[/C][/ROW]
[ROW][C]H0[/C][C]0[/C][/ROW]
[ROW][C]Alternative[/C][C]greater[/C][/ROW]
[ROW][C]CI[/C][C]0.95[/C][/ROW]
[ROW][C]Sample Mean[/C][C]0.171428571428571[/C][/ROW]
[ROW][C]T-Test[/C][C]3.22192121879336[/C][/ROW]
[ROW][C]DF[/C][C]104[/C][/ROW]
[ROW][C]P-Value[/C][C]0.000850220161162765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93107&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93107&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:

One Sample t-test
H00
Alternativegreater
CI0.95
Sample Mean0.171428571428571
T-Test3.22192121879336
DF104
P-Value0.000850220161162765


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = greater ; par2 = 0.95 ; par3 = 0 ;
Parameters (R input):
par1 = greater ; par2 = 0.95 ; par3 = 0 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
(tt <- t.test(x,mu=par3,alternative=par1,conf.level=par2))
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'One Sample t-test',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0',header=TRUE)
a<-table.element(a,tt$null.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,tt$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample Mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-Test',header=TRUE)
a<-table.element(a,tt$statistic)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'DF',header=TRUE)
a<-table.element(a,tt$parameter)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'P-Value',header=TRUE)
a<-table.element(a,tt$p.value)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')