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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 computationWed, 27 Oct 2010 00:01:51 +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/t1288137648t7fna0t3m3j2fkx.htm/, Retrieved Tue, 30 Apr 2024 01:24:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89806, Retrieved Tue, 30 Apr 2024 01:24:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Testing Mean with unknown Variance - Critical Value] [Question 4] [2010-10-26 23:05:59] [b9f5bf8f9089a40337275cf2fd2f13a1]
-    D  [Testing Mean with unknown Variance - Critical Value] [Question 5] [2010-10-26 23:14:20] [b9f5bf8f9089a40337275cf2fd2f13a1]
- RMPD    [Testing Variance - Critical Value (Region)] [Question 8] [2010-10-26 23:51:58] [b9f5bf8f9089a40337275cf2fd2f13a1]
-   P         [Testing Variance - Critical Value (Region)] [Question 8 males] [2010-10-27 00:01:51] [766d4bb4f790a2464f86fcafbf87a680] [Current]
-   P           [Testing Variance - Critical Value (Region)] [Question 8 females] [2010-10-27 00:04:50] [b9f5bf8f9089a40337275cf2fd2f13a1]
- RMP           [Testing Mean with known Variance - Sample Size] [Question 9] [2010-10-27 00:16:34] [b9f5bf8f9089a40337275cf2fd2f13a1]
-   P             [Testing Mean with known Variance - Sample Size] [Question 10] [2010-10-27 00:36:17] [b9f5bf8f9089a40337275cf2fd2f13a1]
- RMP             [Minimum Sample Size - Testing Mean] [Question 11] [2010-10-27 00:52:48] [b9f5bf8f9089a40337275cf2fd2f13a1]
- RMPD            [Testing Mean with unknown Variance - Critical Value] [Question 2 T] [2010-10-27 01:13:36] [b9f5bf8f9089a40337275cf2fd2f13a1]
-    D              [Testing Mean with unknown Variance - Critical Value] [Question 2 E] [2010-10-27 01:17:44] [b9f5bf8f9089a40337275cf2fd2f13a1]
-    D                [Testing Mean with unknown Variance - Critical Value] [Question 2 S] [2010-10-27 01:19:59] [b9f5bf8f9089a40337275cf2fd2f13a1]
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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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89806&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89806&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89806&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'Gwilym Jenkins' @ 72.249.127.135






Testing Variance - Critical value (region)
Sample size98
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
Critical value12.2075721033507
ConclusionThere is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - Critical value (region) \tabularnewline
Sample size & 98 \tabularnewline
Sample variance & 13 \tabularnewline
Null hypothesis (H0) & 13 \tabularnewline
Type I error (alpha) & 0.35 \tabularnewline
Critical value & 12.2075721033507 \tabularnewline
Conclusion & There is no reason to reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89806&T=1

[TABLE]
[ROW][C]Testing Variance - Critical value (region)[/C][/ROW]
[ROW][C]Sample size[/C][C]98[/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]Critical value[/C][C]12.2075721033507[/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=89806&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89806&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 size98
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
Critical value12.2075721033507
ConclusionThere is no reason to reject the null hypothesis


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 98 ; par2 = 13 ; par3 = 13 ; par4 = 0.35 ;
Parameters (R input):
par1 = 98 ; 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
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')