R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(87.48,82.39,83.48,79.31,78.16,72.77,72.45,68.46,67.62,68.76,70.07,68.55,65.3,58.96,59.17,62.37,66.28,55.62,55.23,55.85,56.75,50.89,53.88,52.95,55.08,53.61,58.78,61.85,55.91,53.32,46.41,44.57,50,50,53.36,46.23,50.45,49.07,45.85,48.45,49.96,46.53,50.51,47.58,48.05,46.84,47.67,49.16,55.54,55.82,58.22,56.19,57.77,63.19,54.76,55.74,62.54,61.39,69.6,79.23,80,93.68,107.63,100.18,97.3,90.45,80.64,80.58,75.82,85.59,89.35,89.42,104.73,95.32,89.27,90.44,86.97,79.98,81.22,87.35,83.64,82.22,94.4,102.18)
> par2 = '67.62'
> par1 = '0.95'
> #'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)
> len <- length(x)
> df <- len - 1
> sd <- sd(x)
> mx <- mean(x)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> delta2 <- abs(qt((1-par1)/2,df)) * sd / sqrt(len)
> delta1 <- abs(qt((1-par1),df)) * sd / sqrt(len)
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Hypothesis Test about the Mean - Confidence Interval',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Sample size',header=TRUE)
> a<-table.element(a,len)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Sample standard deviation',header=TRUE)
> a<-table.element(a,sd)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Confidence',header=TRUE)
> a<-table.element(a,par1)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Null hypothesis',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,mx)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'2-sided Confidence Interval',header=TRUE)
> dum <- paste('[',mx-delta2)
> dum <- paste(dum,',')
> dum <- paste(dum,mx+delta2)
> dum <- paste(dum,']')
> a<-table.element(a,dum)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Left-sided Confidence Interval',header=TRUE)
> dum <- paste('[',mx-delta1)
> dum <- paste(dum,', +inf ]')
> a<-table.element(a,dum)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Right-sided Confidence Interval',header=TRUE)
> dum <- paste('[ -inf, ',mx+delta1)
> dum <- paste(dum,']')
> a<-table.element(a,dum)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/1o5rl1290703889.tab") 
> 
> 
> proc.time()
   user  system elapsed 
  0.230   0.100   0.312