Robert A LaBudde wrote: > At 01:40 PM 5/6/2010, Joris Meys wrote: > >> On Thu, May 6, 2010 at 6:09 PM, Greg Snow <greg.s...@imail.org> wrote: >> >> >>> Because if you use the sample standard deviation then it is a t test not a >>> z test. >>> >>> >> I'm doubting that seriously... >> >> You calculate normalized Z-values by substracting the sample mean and >> dividing by the sample sd. So Thomas is correct. It becomes a Z-test since >> you compare these normalized Z-values with the Z distribution, instead of >> the (more appropriate) T-distribution. The T-distribution is essentially a >> Z-distribution that is corrected for the finite sample size. In Asymptopia, >> the Z and T distribution are identical. >> > > And it is only in Utopia that any P-value less than 0.01 actually > corresponds to reality. > > ## I'm not sure what you mean by this. P-values are simply statistics ## calculated from the data; why wouldn't they be real if they are small?
## Duncan Murdoch Just wondering. The smallest the p-value, the closer to 'reality' (the more accurate) the model is supposed to (not) be (?). How realistic is it to be that (un-) real? bak p.s. I am no statistician [[alternative HTML version deleted]] ______________________________________________ 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.