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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 computationTue, 26 Oct 2010 15:56:14 +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/26/t1288108485d6jbt7xbfpjlep5.htm/, Retrieved Sat, 27 Apr 2024 17:53:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89312, Retrieved Sat, 27 Apr 2024 17:53:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

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]
-   PD    [Testing Mean with unknown Variance - Critical Value] [Q5W5] [2010-10-25 21:06:37] [1afa3497b02a8d7c9f6727c1b17b89b2]
F    D      [Testing Mean with unknown Variance - Critical Value] [Q5W5] [2010-10-26 14:42:35] [1afa3497b02a8d7c9f6727c1b17b89b2]
- RMPD        [Testing Variance - Critical Value (Region)] [Task 8 - Male] [2010-10-26 15:45:12] [1aa8d85d6b335d32b1f6be940e33a166]
F               [Testing Variance - Critical Value (Region)] [Q8 Mannen] [2010-10-26 15:54:24] [1afa3497b02a8d7c9f6727c1b17b89b2]
F   P               [Testing Variance - Critical Value (Region)] [Q8 Vrouwen] [2010-10-26 15:56:14] [47bfda5353cd53c1cf7ea7aa9038654a] [Current]
Feedback Forum
2010-10-29 11:34:15 [00c625c7d009d84797af914265b614f9] [reply] 
Voor vrouwen gebruiken we in de software 'Testing Variance - Critical Value' voor de eenzijdige test. Hierin zien we dat we de nulhypothese mogen verwerpen.
Critical value: 13.7753607125852
Conclusion: Reject the null hypothesis
Dus de vrouwelijk L1 variantie is significant groter dan 13.
Voor de tweezijdige test gebruiken we in de software 'Testing Variance - Confidence Intervals for Population Variance'. Hier zien we dat de waarde binnen het interval [12.0111466061063,16.8327022129086] ligt. We kunnen dus concluderen dat waarde van de variantie voor L1 bij vrouwen significant groter is dan 13 maar ook niet significant verschilt van 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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89312&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89312&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Testing Variance - Critical value (region)
Sample size64
Sample variance0.13
Null hypothesis (H0)20
Type I error (alpha)0.35
Critical value18.4553841965255
ConclusionReject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - Critical value (region) \tabularnewline
Sample size & 64 \tabularnewline
Sample variance & 0.13 \tabularnewline
Null hypothesis (H0) & 20 \tabularnewline
Type I error (alpha) & 0.35 \tabularnewline
Critical value & 18.4553841965255 \tabularnewline
Conclusion & Reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=89312&T=1

[TABLE]
[ROW][C]Testing Variance - Critical value (region)[/C][/ROW]
[ROW][C]Sample size[/C][C]64[/C][/ROW]
[ROW][C]Sample variance[/C][C]0.13[/C][/ROW]
[ROW][C]Null hypothesis (H0)[/C][C]20[/C][/ROW]
[ROW][C]Type I error (alpha)[/C][C]0.35[/C][/ROW]
[ROW][C]Critical value[/C][C]18.4553841965255[/C][/ROW]
[ROW][C]Conclusion[/C][C]Reject the null hypothesis[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=89312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89312&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 size64
Sample variance0.13
Null hypothesis (H0)20
Type I error (alpha)0.35
Critical value18.4553841965255
ConclusionReject the null hypothesis


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 64 ; par2 = 0.13 ; par3 = 20 ; par4 = 0.35 ;
Parameters (R input):
par1 = 64 ; par2 = 0.13 ; par3 = 20 ; 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')