Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_hypothesisvariance2.wasp

Title produced by software

Testing Variance - p-value (probability)

Date of computation

Mon, 25 Oct 2010 16:53:50 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/25/t12880256666egtx9fpzkmcdi2.htm/, Retrieved Mon, 29 Apr 2024 19:56:46 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=88209, Retrieved Mon, 29 Apr 2024 19:56:46 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

123

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F       [Testing Variance - p-value (probability)] [Workshop 4: Quest...] [2010-10-25 16:53:50] [8eb352cba3cf694c3df89d0a436a2f1b] [Current]

Feedback Forum

2010-11-02 22:44:44 [Naoual Ahidar] [reply] 
De berekening voor mannelijke studenten is hier overbodig. De standaarddeviatie en de sample size is al berekend in excel. De nulhypothese is hier gelijk aan de sample variantie, die gelijk is aan 13 dus moeten we de hypothese niet berekenen voor de mannelijke studenten. 
 
De nulhypothese bij de vrouwelijke studenten moet dan 13 zijn in plaats van 0,13. Dan zien we dat de berekening voor vrouwelijke studenten ons aantoont dat de kritieke waarde gelijk is aan 13,775. We kunnen besluiten dat de vrouwelijke I1 variantie groter is dan 13 (aan de 35% type I error). 
 
Uiteindelijk kunnen we besluiten dat de vrouwelijke I1 variantie niet significant verschillend is van 13 maar wel significant groter is dan 13. 

Post a new message

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	'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 & 1 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=88209&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=88209&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88209&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Testing Variance - p-value (probability)
Sample size	63
Sample variance	0.13
Null hypothesis (H0)	0.13
Type I error (alpha)	0.35
p-value (probability)	0.523888020187874
Conclusion	There is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - p-value (probability) \tabularnewline
Sample size & 63 \tabularnewline
Sample variance & 0.13 \tabularnewline
Null hypothesis (H0) & 0.13 \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=88209&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]0.13[/C][/ROW]
[ROW][C]Null hypothesis (H0)[/C][C]0.13[/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=88209&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=88209&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 - p-value (probability)
Sample size	63
Sample variance	0.13
Null hypothesis (H0)	0.13
Type I error (alpha)	0.35
p-value (probability)	0.523888020187874
Conclusion	There is no reason to reject the null hypothesis

Parameters (Session):

par1 = 63 ; par2 = 0.13 ; par3 = 0.13 ; par4 = 0.35 ;

Parameters (R input):

par1 = 63 ; par2 = 0.13 ; par3 = 0.13 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code