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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesisvariance1.wasp
Title produced by softwareTesting Variance - Critical Value (Region)
Date of computationSun, 09 Nov 2008 06:10:15 -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/t1226236237xeaflgr9df2hq6n.htm/, Retrieved Sun, 19 May 2024 10:46:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22742, Retrieved Sun, 19 May 2024 10:46:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

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 - Critical Value (Region)] [vraag 1] [2008-11-09 12:52:15] [c45c87b96bbf32ffc2144fc37d767b2e]
F   P     [Testing Variance - Critical Value (Region)] [vraag 3] [2008-11-09 13:10:15] [3dc594a6c62226e1e98766c4d385bfaa] [Current]
Feedback Forum
2008-11-19 15:41:34 [] [reply] 
De studetn heet de vraag niet correct beantwoord. Het antwoord hangt af van de alpha waarde, van de productiekosten en van het voordeel dat je hebt ten opzichte van je klanten. Het is niet louter een kwestie van statistiek.
2008-11-19 15:59:11 [Nathalie Koulouris] [reply] 
De student heeft de vraag niet correct beantwoord. Het antwoord hangt af van de alpha waarde, van de productiekosten en van het voordeel dat je hebt ten opzichte van je klanten. Het is niet louter een kwestie van statistiek.
2008-11-19 20:59:30 [Michaël De Kuyer] [reply] 
Deze vraag heb ik gedeeltelijk correct beantwoord. Desalniettemin heeft Nathalie gelijk door te besluiten dat ik niet enkel rekening moest houden met statistische zaken, maar ook met de productiekost en het voordeel voor de klant.

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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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22742&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22742&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22742&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'George Udny Yule' @ 72.249.76.132






Testing Variance - Critical value (region)
Sample size320
Sample variance4.2
Null hypothesis (H0)4.8
Type I error (alpha)0.06
Critical value4.22376566762109
ConclusionReject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - Critical value (region) \tabularnewline
Sample size & 320 \tabularnewline
Sample variance & 4.2 \tabularnewline
Null hypothesis (H0) & 4.8 \tabularnewline
Type I error (alpha) & 0.06 \tabularnewline
Critical value & 4.22376566762109 \tabularnewline
Conclusion & Reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22742&T=1

[TABLE]
[ROW][C]Testing Variance - Critical value (region)[/C][/ROW]
[ROW][C]Sample size[/C][C]320[/C][/ROW]
[ROW][C]Sample variance[/C][C]4.2[/C][/ROW]
[ROW][C]Null hypothesis (H0)[/C][C]4.8[/C][/ROW]
[ROW][C]Type I error (alpha)[/C][C]0.06[/C][/ROW]
[ROW][C]Critical value[/C][C]4.22376566762109[/C][/ROW]
[ROW][C]Conclusion[/C][C]Reject the null hypothesis[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22742&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22742&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 - Critical value (region)
Sample size320
Sample variance4.2
Null hypothesis (H0)4.8
Type I error (alpha)0.06
Critical value4.22376566762109
ConclusionReject the null hypothesis


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 320 ; par2 = 4.2 ; par3 = 4.8 ; par4 = 0.06 ;
Parameters (R input):
par1 = 320 ; par2 = 4.2 ; par3 = 4.8 ; par4 = 0.06 ;
R code (references can be found in the software module):
par1<-as.numeric(par1)
par2<-as.numeric(par2)
par3<-as.numeric(par3)
par4<-as.numeric(par4)
df <- par1 - 1
if (par2 > par3)
{
myc <- par3 / df * qchisq(1-par4,df)
} else {
myc <- par3 / df * qchisq(par4,df)
}
myc
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ht_variance.htm','Testing Variance - Critical value (region)','learn more about Statistical Hypothesis Testing about the Variance'),2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample size',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Sample variance',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Null hypothesis (H0)',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error (alpha)',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Critical value',header=TRUE)
a<-table.element(a,myc)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Conclusion',header=TRUE)
if (par2 > par3)
{
if (par2 < myc) a<-table.element(a,'There is no reason to reject the null hypothesis') else a<-table.element(a,'Reject the null hypothesis')
} else {
if (par2 > myc) a<-table.element(a,'There is no reason to reject the null hypothesis') else a<-table.element(a,'Reject the null hypothesis')
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')