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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 computationFri, 12 Nov 2010 07:52:19 +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/12/t1289548234x6rkf78cdzh7pwu.htm/, Retrieved Tue, 30 Apr 2024 18:45:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93987, Retrieved Tue, 30 Apr 2024 18:45:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [One Sample Tests about the Mean] [Intrinsic Motivat...] [2010-11-10 15:50:55] [19b0644bed4ce533b9dd7e8852a929a7]
F         [One Sample Tests about the Mean] [] [2010-11-12 07:52:19] [d1991ab4912b5ede0ff54c26afa5d84c] [Current]
Feedback Forum
2010-11-13 10:42:42 [Hans Tierens] [reply] 
Het spijt me, ik zette de uitleg van vraag 5 bij oplossing 6... het spijt me voor dit ongemak...


ik zet dan hier de feedback over vraag 6....

je zou eigenlijk de output van vorige vragen kunnen gebruiken. Je moet nu alleen kijken naar eenzijdige testen (Left-sided interval en Right-sided interval). Je ziet dat je telkens slechts 1 van deze intervallen kan gebruiken. Dit is logisch aangezien het steekproefgemiddelde iets boven OF iets onder het populatiegemiddelde ligt!!! Je conclusie zou dus uit 2 leden moeten bestaan: mannen en vrouwen...

Voor mannen is het linkerinterval belangrijk. Het aanvaardt bovendien de nul-hypothese.
Voor vrouwen is ook het linkerinterval van belang. Het verwerpt de nul-hypothese echter.

Post a new message

Dataset

Dataseries X:
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Histogram
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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 time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93987&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93987&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






One Sample t-test
H020
Alternativetwo.sided
CI0.95
Sample Mean21.1587301587302
T-Test2.47750524739568
DF62
P-Value0.0159694599361123

\begin{tabular}{lllllllll}
\hline
One Sample t-test \tabularnewline
H0 & 20 \tabularnewline
Alternative & two.sided \tabularnewline
CI & 0.95 \tabularnewline
Sample Mean & 21.1587301587302 \tabularnewline
T-Test & 2.47750524739568 \tabularnewline
DF & 62 \tabularnewline
P-Value & 0.0159694599361123 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93987&T=1

[TABLE]
[ROW][C]One Sample t-test[/C][/ROW]
[ROW][C]H0[/C][C]20[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI[/C][C]0.95[/C][/ROW]
[ROW][C]Sample Mean[/C][C]21.1587301587302[/C][/ROW]
[ROW][C]T-Test[/C][C]2.47750524739568[/C][/ROW]
[ROW][C]DF[/C][C]62[/C][/ROW]
[ROW][C]P-Value[/C][C]0.0159694599361123[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93987&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
H020
Alternativetwo.sided
CI0.95
Sample Mean21.1587301587302
T-Test2.47750524739568
DF62
P-Value0.0159694599361123


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = two.sided ; par2 = 0.95 ; par3 = 20 ;
Parameters (R input):
par1 = two.sided ; par2 = 0.95 ; par3 = 20 ;
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')