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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesisvariance4.wasp
Title produced by softwareTesting Variance - Confidence Intervals for Population Variance
Date of computationFri, 07 Nov 2008 07:20:54 -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/2008/Nov/07/t1226068117nkbn6er0ufu014r.htm/, Retrieved Sun, 19 May 2024 06:23:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22509, Retrieved Sun, 19 May 2024 06:23:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Testing Variance - Confidence Intervals for Population Variance] [q1] [2008-11-07 14:20:54] [7596afe9a05f2a2719ece78b1b0e12e6] [Current]
Feedback Forum
2008-11-24 18:00:01 [Gert-Jan Geudens] [reply] 
De berekening is niet correct. De weergegeven tabellen komen ook niet overeen met die van de link.Tevens zijn de berekeningen onvolledig en overbodig. De correcte tabellen worden in de oplossing op Moodle besproken. Tevens is er geen conclusie gegeven. Voor deze vraag moeten we gebruik maken van de eenzijdige test aangezien we veronderstellen dat peer assesments , enkel een positieve invloed kunnen hebben op de resultaten. We zien dan dat de sample proportion groter is dan de one-sided critical value. Tevens bevatten de 95% betrouwbaarheidsintervallen, de nulhypothese niet. Ten slotte is de eenzijdige p-waarde kleiner dan de type-1 error. VOOR DE VOLLEDIGE OPLOSSING VERWIJZEN WE NAAR MOODLE AANGEZIEN WE DEZE TAAK OP MOODLE MOETEN EVALUEREN.

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Dataset

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=22509&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=22509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22509&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






Testing Variance - Confidence Intervals for Population Variance
Sample size5
Sample variance109.2
Confidence interval100
Type of IntervalLeft tailRight tail
Two-sided confidence interval at 100NaNNaN
Left one-sided confidence interval at 100NaN+inf
Right one-sided confidence interval at 1000NaN
more information about confidence interval

\begin{tabular}{lllllllll}
\hline
Testing Variance - Confidence Intervals for Population Variance \tabularnewline
Sample size & 5 \tabularnewline
Sample variance & 109.2 \tabularnewline
Confidence interval & 100 \tabularnewline
Type of Interval & Left tail & Right tail \tabularnewline
Two-sided confidence interval at  100 & NaN & NaN \tabularnewline
Left one-sided confidence interval at  100 & NaN & +inf \tabularnewline
Right one-sided confidence interval at  100 & 0 & NaN \tabularnewline
more information about confidence interval \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22509&T=1

[TABLE]
[ROW][C]Testing Variance - Confidence Intervals for Population Variance[/C][/ROW]
[ROW][C]Sample size[/C][C]5[/C][/ROW]
[ROW][C]Sample variance[/C][C]109.2[/C][/ROW]
[ROW][C]Confidence interval[/C][C]100[/C][/ROW]
[ROW][C]Type of Interval[/C][C]Left tail[/C][C]Right tail[/C][/ROW]
[ROW][C]Two-sided confidence interval at  100[/C][C]NaN[/C][C]NaN[/C][/ROW]
[ROW][C]Left one-sided confidence interval at  100[/C][C]NaN[/C][C]+inf[/C][/ROW]
[ROW][C]Right one-sided confidence interval at  100[/C][C]0[/C][C]NaN[/C][/ROW]
[ROW][C]more information about confidence interval[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22509&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:

Testing Variance - Confidence Intervals for Population Variance
Sample size5
Sample variance109.2
Confidence interval100
Type of IntervalLeft tailRight tail
Two-sided confidence interval at 100NaNNaN
Left one-sided confidence interval at 100NaN+inf
Right one-sided confidence interval at 1000NaN
more information about confidence interval


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = 109.20 ; par3 = 100 ;
Parameters (R input):
par1 = 5 ; par2 = 109.20 ; par3 = 100 ;
R code (references can be found in the software module):
par1<-as.numeric(par1)
par2<-as.numeric(par2)
par3<-as.numeric(par3)
df <- par1 - 1
halfalpha <- (1 - par3) / 2
ub <- par2 * df / qchisq(halfalpha,df)
ua <- par2 * df / qchisq(1-halfalpha,df)
ua
ub
ur <- par2 * df / qchisq(1-par3,df)
ur
ul <- par2 * df / qchisq(par3,df)
ul
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ht_variance.htm','Testing Variance - Confidence Intervals for Population Variance','learn more about Statistical Hypothesis Testing about the Variance'),3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample size',header=TRUE)
a<-table.element(a,par1,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample variance',header=TRUE)
a<-table.element(a,par2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Confidence interval',header=TRUE)
a<-table.element(a,par3,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type of Interval',header=TRUE)
a<-table.element(a,'Left tail',header=TRUE)
a<-table.element(a,'Right tail',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('Two-sided confidence interval at ',par3), header=TRUE)
a<-table.element(a,ua)
a<-table.element(a,ub)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('Left one-sided confidence interval at ',par3), header=TRUE)
a<-table.element(a,ul)
a<-table.element(a,'+inf')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('Right one-sided confidence interval at ',par3), header=TRUE)
a<-table.element(a,'0')
a<-table.element(a,ur)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, hyperlink('ht_variance.htm#ex4', 'more information about confidence interval','example'),3,TRUE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')