R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. Natural language support but running in an English locale R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > par5 = '0.85' > par4 = '0.95' > par3 = '21' > par2 = '20' > par1 = '13' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > 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 [1] 1.644854 > ub [1] 1.036433 > c [1] 22.70348 > sqrtn [1] 2.193690 > samplesize [1] 4.812277 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/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('http://www.xycoon.com/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="/var/www/html/freestat/rcomp/tmp/1q1my1289508415.tab") > > > > proc.time() user system elapsed 0.335 0.023 0.350