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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 computationTue, 26 Oct 2010 23:42:09 +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/Oct/27/t1288136448i4ny5psb8oth5sy.htm/, Retrieved Tue, 30 Apr 2024 01:21:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89795, Retrieved Tue, 30 Apr 2024 01:21:15 +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 Mean with unknown Variance - Critical Value] [vraag 5] [2010-10-26 23:11:11] [3b4d50908b02f70d585ba4c3ab01ca98]
-   P   [Testing Mean with unknown Variance - Critical Value] [vraag 7 (1%)] [2010-10-26 23:15:33] [3b4d50908b02f70d585ba4c3ab01ca98]
F RMPD    [Testing Variance - p-value (probability)] [vraag 8] [2010-10-26 23:36:19] [3b4d50908b02f70d585ba4c3ab01ca98]
F   P         [Testing Variance - p-value (probability)] [vraag 8 (vrouwen)] [2010-10-26 23:42:09] [1dcc00c558d86ebf2132b02bed787260] [Current]
Feedback Forum
2010-11-02 15:51:01 [f0479c8ad85b1406c7a3120008048c58] [reply] 
De berekening voor vrouwen blijkt dat de kritische waarde 13.775 is. We concluderen dat de vrouwelijke I1
variantie aanzienlijk groter is dan 13 (bij de 35% type I error level) Let op: dit betekent niet noodzakelijkerwijs
dat de variantie groter is de I1 variantie van mannen. Waarom?
http://www.freestatistics.org/blog/date/2010/Oct/25/t1288043532phj41g2mwbpfvum.htm/
De bovenstaande oplossing gaat ervan uit dat we gebruik maken van een eenzijdige test .
Bij een tweezijdige test moeten we de 65% betrouwbaarheidsintervallen berekenen zoals aangegeven
in de volgende berekeningen:
http://www.freestatistics.org/blog/date/2010/Oct/25/t1288043645wt7valwo96c7ppn.htm/
http://www.freestatistics.org/blog/date/2010/Oct/25/t1288043889djfatwi1jb1runt.htm/
De conclusie is dat de vrouwelijke I1 variantie niet significant verschillend is van 13, maar het is
aanzienlijk groter zijn dan 13.

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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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89795&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89795&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89795&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'Gwilym Jenkins' @ 72.249.127.135






Testing Variance - p-value (probability)
Sample size63
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
p-value (probability)0.523888020187874
ConclusionThere is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - p-value (probability) \tabularnewline
Sample size & 63 \tabularnewline
Sample variance & 13 \tabularnewline
Null hypothesis (H0) & 13 \tabularnewline
Type I error (alpha) & 0.35 \tabularnewline
p-value (probability) & 0.523888020187874 \tabularnewline
Conclusion & There is no reason to reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89795&T=1

[TABLE]
[ROW][C]Testing Variance - p-value (probability)[/C][/ROW]
[ROW][C]Sample size[/C][C]63[/C][/ROW]
[ROW][C]Sample variance[/C][C]13[/C][/ROW]
[ROW][C]Null hypothesis (H0)[/C][C]13[/C][/ROW]
[ROW][C]Type I error (alpha)[/C][C]0.35[/C][/ROW]
[ROW][C]p-value (probability)[/C][C]0.523888020187874[/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=89795&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89795&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 size63
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
p-value (probability)0.523888020187874
ConclusionThere is no reason to reject the null hypothesis


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 63 ; par2 = 13 ; par3 = 13 ; par4 = 0.35 ;
Parameters (R input):
par1 = 63 ; par2 = 13 ; par3 = 13 ; par4 = 0.35 ;
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')