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Data:
2 -4 -2 9 8 2 7 2 6 -7 5 5 1 -4 -4 5 7 4 3 0 3 4 0 1 0 3 -9 6 0 -1 -9 7 3 4 6 5 -4 7 7 3 6 6 -3 -4 2 6 3 2 -3 0 3 4 8 3 0 5 6 -1 -2 1 3 10 3 2 2 1 2 -1 -4 8 2 0 3 5 6 4 3 -2 -2 1 6 0 -1 10 9 7 4 -1 -1 3 1 10 5 -2 0 10 -3 3 -1 3 0 4 7 -5 0 1 0 3 9 1 2 3 3 4 3 0 2 5 3 -6 2 2 3 4 -4 -1 -5 5 -9 5 3 -9 1 -8 -5 -8 3 0 -5 3 2 3 0 -3 -6 -4 -5 3 1 0 -2 -2 2 -7 -6 0
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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Big Analytics Cloud Computing Center
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