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R Software Modulerwasp_hypothesismean3.wasp
Title produced by softwareTesting Mean with known Variance - Type II Error
Date of computationSat, 27 Jul 2019 23:15:10 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2019/Jul/27/t156426333913c1kgykdljeb2t.htm/, Retrieved Wed, 12 Aug 2020 14:23:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=318854, Retrieved Wed, 12 Aug 2020 14:23:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact16
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Testing Mean with known Variance - Type II Error] [] [2019-07-27 21:15:10] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318854&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=318854&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318854&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 Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center







Testing Mean with known Variance
sample size45
population variance23716
sample mean1305
null hypothesis about mean1250
type I error0.01
alternative hypothesis about mean1325
Type II Error0.173446082294927

\begin{tabular}{lllllllll}
\hline
Testing Mean with known Variance \tabularnewline
sample size & 45 \tabularnewline
population variance & 23716 \tabularnewline
sample mean & 1305 \tabularnewline
null hypothesis about mean & 1250 \tabularnewline
type I error & 0.01 \tabularnewline
alternative hypothesis about mean & 1325 \tabularnewline
Type II Error & 0.173446082294927 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=318854&T=1

[TABLE]
[ROW][C]Testing Mean with known Variance[/C][/ROW]
[ROW][C]sample size[/C][C]45[/C][/ROW]
[ROW][C]population variance[/C][C]23716[/C][/ROW]
[ROW][C]sample mean[/C][C]1305[/C][/ROW]
[ROW][C]null hypothesis about mean[/C][C]1250[/C][/ROW]
[ROW][C]type I error[/C][C]0.01[/C][/ROW]
[ROW][C]alternative hypothesis about mean[/C][C]1325[/C][/ROW]
[ROW][C]Type II Error[/C][C]0.173446082294927[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=318854&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=318854&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
sample size45
population variance23716
sample mean1305
null hypothesis about mean1250
type I error0.01
alternative hypothesis about mean1325
Type II Error0.173446082294927



Parameters (Session):
par1 = 45 ; par2 = 23716 ; par3 = 1305 ; par4 = 1250 ; par5 = 0.01 ; par6 = 1325 ;
Parameters (R input):
par1 = 45 ; par2 = 23716 ; par3 = 1305 ; par4 = 1250 ; par5 = 0.01 ; par6 = 1325 ;
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)
par6<-as.numeric(par6)
c <- 'NA'
csn <- abs(qnorm(par5))
if (par3 == par4)
{
conclusion <- 'Error: the null hypothesis and sample mean must not be equal.'
}
if (par3 > par4)
{
c <- par4 + csn * sqrt(par2) / sqrt(par1)
}
if (par3 < par4)
{
c <- par4 - csn * sqrt(par2) / sqrt(par1)
}
p <- pnorm((c - par6) / (sqrt(par2/par1)))
print(p)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Testing Mean with known 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,'population variance',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'sample mean',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'null hypothesis about mean',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'type I error',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alternative hypothesis about mean',header=TRUE)
a<-table.element(a,par6)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type II Error',header=TRUE)
a<-table.element(a,p)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')