<see inline> Raymond Wan wrote: > Hi all, > > On Mon, 22 May 2006, Rolf Turner wrote: >> It is worth noting that if the null hypothesis is true, then >> the p-value is >> uniformly distributed on [0,1].
SG: This is true in many but not all cases, and I think is a reasonable approximation even when not exactly true. Example: Testing any null hypothesis about a discrete distribution with only N possible outcomes must produce N possible outcomes in the distribution of the p-value. hope this helps, Spencer Graves >> This should be kept in mind when assessing the ``instability'' >> of p-values. > > Just wanted to thank everyone who participated in this thread for > clarifying things for me. I guess I knew bits and pieces but your > messages put them together and gave me some R commands (which I am still > new to) to check things myself. > > Thanks a lot! > > Ray > > ______________________________________________ > 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 ______________________________________________ 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