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Data:
4.2 11.5 7.3 5.8 6.4 10 11.2 11.2 5.2 7 16.5 16.5 15.2 17.3 22.5 17.3 13.6 14.5 18.8 15.5 23.6 18.5 33.9 25.5 26.4 32.5 26.7 21.5 23.3 29.5 15.2 21.5 17.6 9.7 14.5 10 8.2 9.4 16.5 9.7 19.7 23.3 23.6 26.4 20 25.2 25.8 21.2 14.5 27.3 25.5 26.4 22.4 24.5 24.8 30.9 26.4 27.3 29.4 23
Confidence
(?)
Null Hypothesis
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) len <- length(x) df <- len - 1 sd <- sd(x) mx <- mean(x) load(file='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='mytable.tab')
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Computing time
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Big Analytics Cloud Computing Center
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