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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, 21 Oct 2012 11:07:25 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/21/t1350832060m6ihycouishgn63.htm/, Retrieved Mon, 29 Apr 2024 05:39:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=181036, Retrieved Mon, 29 Apr 2024 05:39:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Factor Analysis] [Sleep in Mammals ...] [2010-03-21 11:39:53] [b98453cac15ba1066b407e146608df68]
- RMPD  [Testing Mean with unknown Variance - Critical Value] [Hypothesis Test a...] [2010-10-19 11:45:26] [b98453cac15ba1066b407e146608df68]
- R PD    [Testing Mean with unknown Variance - Critical Value] [hypothesis that I...] [2012-10-21 13:56:54] [f8950b13b9b6c1e097d81f3c7491f9a1]
-           [Testing Mean with unknown Variance - Critical Value] [kleinste type 1 f...] [2012-10-21 14:17:00] [f8950b13b9b6c1e097d81f3c7491f9a1]
- RM          [One Sample Tests about the Mean] [P-value mannen] [2012-10-21 14:55:02] [f8950b13b9b6c1e097d81f3c7491f9a1]
- RM D            [Testing Variance - Critical Value (Region)] [] [2012-10-21 15:07:25] [09cdab5d933081235930b6410ef38881] [Current]
- RM D              [Variability] [Variability voor ...] [2012-10-21 15:10:33] [f8950b13b9b6c1e097d81f3c7491f9a1]
- R  D                [Variability] [variabilty voor m...] [2012-10-21 15:13:49] [f8950b13b9b6c1e097d81f3c7491f9a1]
- RM D                [Testing Mean with known Variance - Sample Size] [] [2012-10-21 15:20:48] [f8950b13b9b6c1e097d81f3c7491f9a1]
- R                     [Testing Mean with known Variance - Sample Size] [Question 9 Simple...] [2012-10-21 15:23:24] [f8950b13b9b6c1e097d81f3c7491f9a1]
- RM                      [Minimum Sample Size - Testing Mean] [Question 11] [2012-10-21 15:46:52] [f8950b13b9b6c1e097d81f3c7491f9a1]
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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'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=181036&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=181036&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=181036&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'George Udny Yule' @ yule.wessa.net






Testing Variance - Critical value (region)
Sample size8
Sample variance0.64
Null hypothesis (H0)0.36
Type I error (alpha)0.05
Critical value0.723452937394637
ConclusionThere is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - Critical value (region) \tabularnewline
Sample size & 8 \tabularnewline
Sample variance & 0.64 \tabularnewline
Null hypothesis (H0) & 0.36 \tabularnewline
Type I error (alpha) & 0.05 \tabularnewline
Critical value & 0.723452937394637 \tabularnewline
Conclusion & There is no reason to reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=181036&T=1

[TABLE]
[ROW][C]Testing Variance - Critical value (region)[/C][/ROW]
[ROW][C]Sample size[/C][C]8[/C][/ROW]
[ROW][C]Sample variance[/C][C]0.64[/C][/ROW]
[ROW][C]Null hypothesis (H0)[/C][C]0.36[/C][/ROW]
[ROW][C]Type I error (alpha)[/C][C]0.05[/C][/ROW]
[ROW][C]Critical value[/C][C]0.723452937394637[/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=181036&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=181036&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 size8
Sample variance0.64
Null hypothesis (H0)0.36
Type I error (alpha)0.05
Critical value0.723452937394637
ConclusionThere is no reason to reject the null hypothesis


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 0 ;
Parameters (R input):
par1 = 8 ; par2 = 0.64 ; par3 = 0.36 ; 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
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')