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R Software Module

rwasp_hypothesismean4.wasp

Title produced by software

Testing Mean with known Variance - Sample Size

Date of computation

Tue, 25 Oct 2011 03:44:16 -0400

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/2011/Oct/25/t13195286707ayasdkti4hepp5.htm/, Retrieved Sat, 18 Apr 2026 07:24:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=135127, Retrieved Sat, 18 Apr 2026 07:24:09 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

316

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

-       [Testing Mean with known Variance - Sample Size] [] [2011-10-25 07:44:16] [ff205c8f94ca61ac7cf7eb30cad83105] [Current]
- RMPD    [Testing Mean with unknown Variance - Critical Value] [] [2011-10-25 18:35:07] [c53df38315e3cbde2dbe0de809195ef2] 
- R  D      [Testing Mean with unknown Variance - Critical Value] [] [2011-10-25 18:38:24] [c53df38315e3cbde2dbe0de809195ef2] 
- RMPD      [Testing Population Mean with known Variance - Confidence Interval] [] [2011-10-25 18:48:23] [c53df38315e3cbde2dbe0de809195ef2] 
- R           [Testing Population Mean with known Variance - Confidence Interval] [] [2011-10-25 18:51:28] [c53df38315e3cbde2dbe0de809195ef2] 
- R       [Testing Mean with known Variance - Sample Size] [] [2011-10-25 23:02:36] [19d77e37efa419fdc040c74a96874aff] 

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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' @ yule.wessa.net

\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' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=135127&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=135127&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=135127&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' @ yule.wessa.net

Testing Mean with known Variance
population variance	0.13
null hypothesis about mean	2
alternative hypothesis about mean	2.1
type I error	0.05
type II error	0.05
sample size	140.688259612963

\begin{tabular}{lllllllll}
\hline
Testing Mean with known Variance \tabularnewline
population variance & 0.13 \tabularnewline
null hypothesis about mean & 2 \tabularnewline
alternative hypothesis about mean & 2.1 \tabularnewline
type I error & 0.05 \tabularnewline
type II error & 0.05 \tabularnewline
sample size & 140.688259612963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=135127&T=1

[TABLE]
[ROW][C]Testing Mean with known Variance[/C][/ROW]
[ROW][C]population variance[/C][C]0.13[/C][/ROW]
[ROW][C]null hypothesis about mean[/C][C]2[/C][/ROW]
[ROW][C]alternative hypothesis about mean[/C][C]2.1[/C][/ROW]
[ROW][C]type I error[/C][C]0.05[/C][/ROW]
[ROW][C]type II error[/C][C]0.05[/C][/ROW]
[ROW][C]sample size[/C][C]140.688259612963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=135127&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=135127&T=1

As an alternative you can also use a QR Code:

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

Testing Mean with known Variance
population variance	0.13
null hypothesis about mean	2
alternative hypothesis about mean	2.1
type I error	0.05
type II error	0.05
sample size	140.688259612963

Parameters (Session):

par1 = 0.13 ; par2 = 2.0 ; par3 = 2.1 ; par4 = 0.05 ; par5 = 0.05 ;

Parameters (R input):

par1 = 0.13 ; par2 = 2.0 ; par3 = 2.1 ; par4 = 0.05 ; par5 = 0.05 ;

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)
par5<-as.numeric(par5)
c <- 'NA'
csn <- abs(qnorm(par5))
if (par2 == par3)
{
conclusion <- 'Error: the null hypothesis and alternative hypothesis must not be equal.'
}
ua <- abs(qnorm(par4))
ub <- qnorm(par5)
c <- (par2+ua/ub*(-par3))/(1-(ua/ub))
sqrtn <- ua*sqrt(par1)/(c - par2)
samplesize <- sqrtn * sqrtn
ua
ub
c
sqrtn
samplesize
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ht_mean_knownvar.htm','Testing Mean with known Variance','learn more about Statistical Hypothesis Testing about the Mean when the Variance is known'),2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'population variance',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'null hypothesis about mean',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alternative hypothesis about mean',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'type I error',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'type II error',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('ht_mean_knownvar.htm#ex4','sample size','example'),header=TRUE)
a<-table.element(a,samplesize)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

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