Try both of them and see if they jive. On Mon, Jun 15, 2009 at 6:03 PM, Serebrenik, A.<a.serebre...@tue.nl> wrote: > Dear all, > > I have two samples that I need to compare. Running Shapiro Wilk normality > test does not allow me to reject the normality assumption neither for the > first sample (p-value = 0.8938) not for the second one (p-value = 0.07905). > So the t.test seems to be applicable. However, the p-value for the second > sample seems to be quite close to 0.05 threshold, so wouldn't it be better to > use a non-parametric test such as wilcox.test? > > Best regards and thanks in advance, > Alexander > > ______________________________________________ > 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. >
-- Stephen Sefick Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis ______________________________________________ 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.