I am new to R and Im some trouble with the following question... Generate 100 standard normal N(0,1) samples of size 100, X1(k),...,X100(k) where k=1,...,100 (The k is and indicie in brackets)
Calculate the sample mean for each sample. For each sample mean Xbark the 0.95-confidence interval for the mean mew=0 is given by... Ik= ( Xbark plus or minus 1.96/10) Find the number of intervals such that 0 does not belong to Ik. How many of them do you expect to see? Well so far I have come up with... N<-100; Nsamp<-100 A<-matrix(rnorm(N*Nsamp,0,1),ncol=Nsamp) means<-apply(A,2,mean) However I have no idea what I am doing and no idea if that even makes sense. Any help would be greatly appreciated as I have no experience of statistical software whatsoever. Thanks in Advance. Rachel -- View this message in context: http://www.nabble.com/Confidence-Interval-tp21521610p21521610.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
