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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hypothesismean4.wasp
Title produced by softwareTesting Mean with known Variance - Sample Size
Date of computationWed, 12 Nov 2008 11:06:23 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/12/t1226513232lpaowfbmv0v4cj1.htm/, Retrieved Sun, 19 May 2024 08:51:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24336, Retrieved Sun, 19 May 2024 08:51:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Testing Mean with known Variance - Sample Size] [The pork quality ...] [2008-11-12 16:49:50] [b1bd16d1f47bfe13feacf1c27a0abba5]
F   P     [Testing Mean with known Variance - Sample Size] [Pork Quality Test Q4] [2008-11-12 18:06:23] [ff1f39dba9ec26bf89aa666d9dcb6cc1] [Current]
Feedback Forum
2008-11-15 11:55:05 [a7d9990a66ef13b6ce566dbfd4dc5418] [reply] 
Foute getallen gebruikt.
Populatievariantie : 0.012
Alternative hypothesis about mean : 0.152
Dan wordt de smaple size : 32466.521441449

https://automated.biganalytics.eu/rwasp_hypothesismean4.wasp?outtype=Browser%20Blue%20-%20Charts%20White&parent=t1226513232lpaowfbmv0v4cj1
2008-11-18 18:51:44 [Loïque Verhasselt] [reply] 
De student gebruikt hier wel de juiste methode maar de foute input. De alternative hypothesis about mean moet gelijk zijn aan 0.152 en niet aan 0,95! Als output krijgen we dan een sample size van 32466.5214491449. Als conclusie hiervan vinden we: als we de pakkans uitbreiden tot 95%, dan is er slechts een kans van 5% dat we de fraude niet ontdekken. Als we idd een pakkans willen bekomen van 95% moet de steekproefgrootte verruimd worden met 32466.5214491449 steekproeven. Dit zal praktisch onhaalbaar zijn om te realiseren.
2008-11-24 17:37:48 [Liese Drijkoningen] [reply] 
Ik heb hier de verkeerde input voor de module gebruikt. Onder deze link kan je de correcte tabel vinden: http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/24/t1227548138soi7pemu1j11nkf.htm.
De gegeven conclusie is wel correct. Om de waarschijnlijkheid dat we een fout opsporen tot 95% op te schroeven, moeten we steekproef uitbreiden tot 32466,5. Dit kan problemen geven omdat dit een zeer hoog getal is. Het is te duur, te omslachtig en de kans is reeël dat er niets meer van de levering vlees overblijft. Deze steekproefgroote is dus niet haalbaar.

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Dataset

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24336&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24336&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24336&T=0

As an alternative you can also use a QR Code:  
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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Testing Mean with known Variance
population variance27
null hypothesis about mean0.15
alternative hypothesis about mean0.95
type I error0.05
type II error0.05
sample size456.560457878601

\begin{tabular}{lllllllll}
\hline
Testing Mean with known Variance \tabularnewline
population variance & 27 \tabularnewline
null hypothesis about mean & 0.15 \tabularnewline
alternative hypothesis about mean & 0.95 \tabularnewline
type I error & 0.05 \tabularnewline
type II error & 0.05 \tabularnewline
sample size & 456.560457878601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24336&T=1

[TABLE]
[ROW][C]Testing Mean with known Variance[/C][/ROW]
[ROW][C]population variance[/C][C]27[/C][/ROW]
[ROW][C]null hypothesis about mean[/C][C]0.15[/C][/ROW]
[ROW][C]alternative hypothesis about mean[/C][C]0.95[/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]456.560457878601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24336&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24336&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Testing Mean with known Variance
population variance27
null hypothesis about mean0.15
alternative hypothesis about mean0.95
type I error0.05
type II error0.05
sample size456.560457878601


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 27 ; par2 = 0.15 ; par3 = 0.95 ; par4 = 0.05 ; par5 = 0.05 ;
Parameters (R input):
par1 = 27 ; par2 = 0.15 ; par3 = 0.95 ; 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')