Hi. I have a question that I have asked in other stat forums but do not yet have an answer for. I would like to know if there is some way in R or otherwise of performing the following hypothesis test.
I have a single data item x. The null hypothesis is that x was selected from a normal distribution N(mu,sigma). The alternate hypothesis is that x does not come from this distribution. However, I do not know the values of mu and sigma. I have a sample of size N from which I can estimate mu and sigma. So, say that I have N(m,s,N), and x. I would like to say with some certainty (e.g. 95%) that I can, or can't reject the hypothesis that x came from N(mu,sigma). I would also like a power test to say how large N should be given the degree of accuracy I need when accepting or rejecting individual x values. What is the name of the hypothesis test I need for this? Is it built into R, or are there packages I could use? Thanks in anticipation, Ross Clement. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
