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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesisvariance2.wasp
Title produced by softwareTesting Variance - p-value (probability)
Date of computationSun, 24 Oct 2010 11:27:06 +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/24/t1287919530zxfbfbjpijncwew.htm/, Retrieved Wed, 11 Dec 2024 19:41:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87806, Retrieved Wed, 11 Dec 2024 19:41:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact225
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]
- RMPD    [Testing Variance - p-value (probability)] [Vraag 8] [2010-10-22 09:56:50] [2960375a246cc0628590c95c4038a43c]
-   P       [Testing Variance - p-value (probability)] [Vraag 8 Mannen] [2010-10-22 11:46:46] [2960375a246cc0628590c95c4038a43c]
F   P           [Testing Variance - p-value (probability)] [question 8 females] [2010-10-24 11:27:06] [606daa46683961cdd2a740c3e0051d62] [Current]
F                 [Testing Variance - p-value (probability)] [Vraag 8 (deel 2)] [2010-10-26 17:03:37] [d7a673bc47e3999e70f4e1e2276e5189]
Feedback Forum
2010-11-02 23:54:54 [23c3e34d843bca32d327eaf7dc6bdb2b] [reply
De nulhypothese bij de vrouwelijke studenten moet dan 13 zijn in plaats van 20. 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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87806&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87806&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87806&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Testing Variance - p-value (probability)
Sample size63
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
p-value (probability)0.523888020187874
ConclusionThere is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - p-value (probability) \tabularnewline
Sample size & 63 \tabularnewline
Sample variance & 13 \tabularnewline
Null hypothesis (H0) & 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=87806&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]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]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=87806&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87806&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 size63
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
p-value (probability)0.523888020187874
ConclusionThere is no reason to reject the null hypothesis



Parameters (Session):
par1 = 63 ; par2 = 13 ; par3 = 13 ; par4 = 0.35 ;
Parameters (R input):
par1 = 63 ; 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
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')