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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesisvariance2.wasp
Title produced by softwareTesting Variance - p-value (probability)
Date of computationSun, 09 Nov 2008 02:45:44 -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/t1226223977dodphiuvmrkosr0.htm/, Retrieved Sun, 19 May 2024 10:56:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22678, Retrieved Sun, 19 May 2024 10:56:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact204

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 - p-value (probability)] [TV - P-V] [2008-11-09 09:45:44] [54ae75b68e6a45c6d55fa4235827d5b3] [Current]
Feedback Forum
2008-11-16 16:15:37 [Astrid Sniekers] [reply] 
Part 1

Ik heb bij deel 1 van de opdracht various types of hypothesis testing alle kaders uitgelegd, terwijl ik had moeten kiezen tussen kaders. Enkel de kaders met sample variance 4.2 en/of Null hypothesis 4.8 waren juist. De juiste antwoorden vind ik terug op de website freestatistics.org (moodle)
2008-11-21 18:09:51 [Dorien Peeters] [reply] 
Ik ben het voor een deel eens met de student. De student zegt dat de methode die wij gebruiken niet effectief is omdat de kans dat u zich vergist bij het verwerpen van de nulhypothese 5,2% (=P-waarde) is. Dit is volgens mij een correcte redenering.
Ik ben het niet eens met de student in verband met de reden waarom de nulhypothese wordt verworpen. De type 1 fout is ingesteld op 5% en is dus < dan de p-value (5,23%)=>conclusie : nulhypothese mag niet worden verworpen en ze wordt dus aanvaard.

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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 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=22678&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=22678&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22678&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 - p-value (probability)
Sample size320
Sample variance4.2
Null hypothesis (H0)4.8
Type I error (alpha)0.05
p-value (probability)0.0522928169394425
ConclusionThere is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - p-value (probability) \tabularnewline
Sample size & 320 \tabularnewline
Sample variance & 4.2 \tabularnewline
Null hypothesis (H0) & 4.8 \tabularnewline
Type I error (alpha) & 0.05 \tabularnewline
p-value (probability) & 0.0522928169394425 \tabularnewline
Conclusion & There is no reason to reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22678&T=1

[TABLE]
[ROW][C]Testing Variance - p-value (probability)[/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]0.05[/C][/ROW]
[ROW][C]p-value (probability)[/C][C]0.0522928169394425[/C][/ROW]
[ROW][C]Conclusion[/C][C]There is no reason to reject the null hypothesis[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22678&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22678&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 - p-value (probability)
Sample size320
Sample variance4.2
Null hypothesis (H0)4.8
Type I error (alpha)0.05
p-value (probability)0.0522928169394425
ConclusionThere is no reason to reject the null hypothesis


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 320 ; par2 = 4.2 ; par3 = 4.8 ; par4 = 0.05 ;
Parameters (R input):
par1 = 320 ; par2 = 4.2 ; par3 = 4.8 ; par4 = 0.05 ;
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
myc <- df * par2 / par3
myc
if (par2 > par3)
{
myp <- 1 - pchisq(myc,df)
} else {
myp <- pchisq(myc,df)
}
myp
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ht_variance.htm','Testing Variance - p-value (probability)','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,'p-value (probability)',header=TRUE)
a<-table.element(a,myp)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Conclusion',header=TRUE)
if (myp > par4) 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')