Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
7.5 6.5 8.5 5 2.5 5 3.5 4 4.5 7 5.5 2.5 5.5 4.5 5 4.5 7.5 0 3.5 6 1.5 3.5 4 6 5 5.5 3.5 6.5 6.5 7 3.5 4 7.5 4.5 3.5 4.5 2.5 7.5 3 3.5 4.5 2.5 7 0 1 3.5 5.5 8.5 10 8.5 9 7.5 9 8 9 5 5.5 2 8.5 9 7.5 6 10.5 8 10.5 9.5 7.5 5 10 10 3 6 7 7 8 10 5.5 6 9.5 8 5.5 7 9 8 6 8 9 5 7 8 7.5 8 8.5 3.5 10.5 8.5 8 9.5 9 10 6.5 6 4 10.5 8.5 7 5 8.5 9.5 1.5 6 7.5 9 8.5 7 9.5 8 9.5 8 9
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation