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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 computationFri, 22 Oct 2010 11:46:46 +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/t1287747935ottnilojinn6um3.htm/, Retrieved Mon, 26 Feb 2024 03:52:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=87406, Retrieved Mon, 26 Feb 2024 03:52:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
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] [4b5105369ca2b03f8f7589f5d63124c0] [Current]
F               [Testing Variance - p-value (probability)] [question 8 males] [2010-10-24 11:25:52] [c1605865773cc027e55b238d879a644c]
-                 [Testing Variance - p-value (probability)] [Vraag 8] [2010-10-26 17:02:07] [d7a673bc47e3999e70f4e1e2276e5189]
F   P           [Testing Variance - p-value (probability)] [question 8 females] [2010-10-24 11:27:06] [c1605865773cc027e55b238d879a644c]
F                 [Testing Variance - p-value (probability)] [Vraag 8 (deel 2)] [2010-10-26 17:03:37] [d7a673bc47e3999e70f4e1e2276e5189]
-               [Testing Variance - p-value (probability)] [] [2010-10-26 17:07:31] [f3d662049ef6875ba0c96bb458434b66]
-                 [Testing Variance - p-value (probability)] [] [2010-10-26 17:09:45] [f3d662049ef6875ba0c96bb458434b66]
- RM              [Testing Mean with known Variance - Sample Size] [] [2010-10-26 17:19:59] [f3d662049ef6875ba0c96bb458434b66]
-                   [Testing Mean with known Variance - Sample Size] [] [2010-10-26 17:21:58] [f3d662049ef6875ba0c96bb458434b66]
- RM                [Minimum Sample Size - Testing Mean] [] [2010-10-26 17:29:25] [f3d662049ef6875ba0c96bb458434b66]
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Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87406&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=87406&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87406&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Testing Variance - p-value (probability)
Sample size98
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
p-value (probability)0.519097010628639
ConclusionThere is no reason to reject the null hypothesis

\begin{tabular}{lllllllll}
\hline
Testing Variance - p-value (probability) \tabularnewline
Sample size & 98 \tabularnewline
Sample variance & 13 \tabularnewline
Null hypothesis (H0) & 13 \tabularnewline
Type I error (alpha) & 0.35 \tabularnewline
p-value (probability) & 0.519097010628639 \tabularnewline
Conclusion & There is no reason to reject the null hypothesis \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=87406&T=1

[TABLE]
[ROW][C]Testing Variance - p-value (probability)[/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]p-value (probability)[/C][C]0.519097010628639[/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=87406&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=87406&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 size98
Sample variance13
Null hypothesis (H0)13
Type I error (alpha)0.35
p-value (probability)0.519097010628639
ConclusionThere is no reason to reject the null hypothesis



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
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')