## Free Statistics

of Irreproducible Research!

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 computationFri, 22 Oct 2010 12:59:04 +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/22/t1287752264yh2yolr8vym8fn9.htm/, Retrieved Mon, 15 Apr 2024 16:27:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87458, Retrieved Mon, 15 Apr 2024 16:27:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138
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]
F   PD    [Testing Mean with unknown Variance - Critical Value] [Question 4] [2010-10-22 12:31:07] [4a7069087cf9e0eda253aeed7d8c30d6]
F RM D        [Testing Variance - Critical Value (Region)] [Question 8 - Male] [2010-10-22 12:59:04] [cfd788255f1b1b5389e58d7f218c70bf] [Current]
- R             [Testing Variance - Critical Value (Region)] [Question - Female] [2010-10-22 13:00:00] [4a7069087cf9e0eda253aeed7d8c30d6]
F RM            [Testing Mean with known Variance - Sample Size] [Question 9] [2010-10-22 13:09:22] [4a7069087cf9e0eda253aeed7d8c30d6]
F                 [Testing Mean with known Variance - Sample Size] [Question 10] [2010-10-22 13:11:50] [4a7069087cf9e0eda253aeed7d8c30d6]
F RM              [Minimum Sample Size - Testing Mean] [Question 11] [2010-10-22 13:15:08] [4a7069087cf9e0eda253aeed7d8c30d6]
Feedback Forum
 2010-11-02 15:29:22 [4d4f7d38b8a37a3fb90a9939352fc7e6] [reply] De standaarddeviatie en steekproefgrootte is berekend in de spreadsheet (cellen Z2: AA3). De berekening voor mannen is triviaal, omdat H0 = steekproefvariantie. We concluderen dat er geen behoefte is om de hypothese te berekenen voor mannen (de steekproef schatting is niet verschillend van H0). 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

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 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87458&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87458&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87458&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 1 seconds R Server 'George Udny Yule' @ 72.249.76.132

 Testing Variance - Critical value (region) Sample size 98 Sample variance 13 Null hypothesis (H0) 20 Type I error (alpha) 0.35 Critical value 18.7808801590011 Conclusion 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) & 20 \tabularnewline
Type I error (alpha) & 0.35 \tabularnewline
Critical value & 18.7808801590011 \tabularnewline
Conclusion & Reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87458&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]20[/C][/ROW]
[ROW][C]Type I error (alpha)[/C][C]0.35[/C][/ROW]
[ROW][C]Critical value[/C][C]18.7808801590011[/C][/ROW]
[ROW][C]Conclusion[/C][C]Reject the null hypothesis[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87458&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87458&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

 Testing Variance - Critical value (region) Sample size 98 Sample variance 13 Null hypothesis (H0) 20 Type I error (alpha) 0.35 Critical value 18.7808801590011 Conclusion Reject the null hypothesis

Parameters (Session):
par1 = 0.95 ; par2 = 0.466666667 ;
Parameters (R input):
par1 = 98 ; par2 = 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 - 1if (par2 > par3){myc <- par3 / df * qchisq(1-par4,df)} else {myc <- par3 / df * qchisq(par4,df)}mycload(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')