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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesisvariance3.wasp
Title produced by softwareTesting Variance - Confidence Intervals for Sample Variance
Date of computationSun, 09 Nov 2008 02:49:35 -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/09/t1226224199nh9n439turi6nl1.htm/, Retrieved Sun, 19 May 2024 02:28:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22681, Retrieved Sun, 19 May 2024 02:28:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180

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 Sample Variance] [TV - CIforSV] [2008-11-09 09:49:35] [54ae75b68e6a45c6d55fa4235827d5b3] [Current]
Feedback Forum
2008-11-21 18:18:10 [Dorien Peeters] [reply] 
Ik denk dat de student de vraag niet goed begrepen heeft. De beslissing van het top management is afhankelijk van de alfafout, de meerkost van het nieuwe productieproces en de bedrijfseconomische gegevens.

De meerkost kan te verantwoorden zijn als de klantentrouw toeneemt en daardoor ook de winstmarg.
De alfafout kan vergroot worden wanneer de beslissing niet belangrijk is voor het voortbestaan van het bedrijf.

Het antwoord is dus afhankelijk van de gekozen alfafout en deze is op zijn beurt afhankelijk van de gevaarlijkheid van de beslissing.

Het productieproces van stalen bouten is duurzaam, waardoor de beslissing niet van vandaag op morgen kan omgekeerd worden. Het is dan ook aangewezen voorzichtiger om te springen met het kiezen van de alfafout in deze sector.
(de variantie is niet normaal verdeeld, indien je dit tekent->zeer uitgesproken verdeling+variantie is altijd positief

Post a new message

Dataset

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22681&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22681&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22681&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Testing Variance - Confidence Intervals for Sample Variance
Sample size320
Null hypothesis (H0)4.2
Confidence interval0.95
Type of IntervalLeft tailRight tail
Two-sided confidence interval at 0.953.573483502595814.87637537014906
Left one-sided confidence interval at 0.953.66836294867082+inf
Right one-sided confidence interval at 0.9504.76156745038017
more information about confidence interval

\begin{tabular}{lllllllll}
\hline
Testing Variance - Confidence Intervals for Sample Variance \tabularnewline
Sample size & 320 \tabularnewline
Null hypothesis (H0) & 4.2 \tabularnewline
Confidence interval & 0.95 \tabularnewline
Type of Interval & Left tail & Right tail \tabularnewline
Two-sided confidence interval at  0.95 & 3.57348350259581 & 4.87637537014906 \tabularnewline
Left one-sided confidence interval at  0.95 & 3.66836294867082 & +inf \tabularnewline
Right one-sided confidence interval at  0.95 & 0 & 4.76156745038017 \tabularnewline
more information about confidence interval \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22681&T=1

[TABLE]
[ROW][C]Testing Variance - Confidence Intervals for Sample Variance[/C][/ROW]
[ROW][C]Sample size[/C][C]320[/C][/ROW]
[ROW][C]Null hypothesis (H0)[/C][C]4.2[/C][/ROW]
[ROW][C]Confidence interval[/C][C]0.95[/C][/ROW]
[ROW][C]Type of Interval[/C][C]Left tail[/C][C]Right tail[/C][/ROW]
[ROW][C]Two-sided confidence interval at  0.95[/C][C]3.57348350259581[/C][C]4.87637537014906[/C][/ROW]
[ROW][C]Left one-sided confidence interval at  0.95[/C][C]3.66836294867082[/C][C]+inf[/C][/ROW]
[ROW][C]Right one-sided confidence interval at  0.95[/C][C]0[/C][C]4.76156745038017[/C][/ROW]
[ROW][C]more information about confidence interval[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22681&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22681&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 Sample Variance
Sample size320
Null hypothesis (H0)4.2
Confidence interval0.95
Type of IntervalLeft tailRight tail
Two-sided confidence interval at 0.953.573483502595814.87637537014906
Left one-sided confidence interval at 0.953.66836294867082+inf
Right one-sided confidence interval at 0.9504.76156745038017
more information about confidence interval


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 320 ; par2 = 4.2 ; par3 = 0.95 ;
Parameters (R input):
par1 = 320 ; par2 = 4.2 ; par3 = 0.95 ;
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
ua <- qchisq(halfalpha,df) * par2 / df
ub <- qchisq(1-halfalpha,df) * par2 / df
ua
ub
ul <- qchisq(1-par3,df) * par2 / df
ul
ur <- qchisq(par3,df) * par2 / df
ur
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ht_variance.htm','Testing Variance - Confidence Intervals for Sample 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,'Null hypothesis (H0)',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#ex3', 'more information about confidence interval','example'),3,TRUE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')