On Wed, Jun 23, 2010 at 10:27 PM, Atte Tenkanen <atte...@utu.fi> wrote: > Hi all, > > I have a distribution, and take a sample of it. Then I compare that sample > with the mean of the population like here in "Wilcoxon signed rank test with > continuity correction": > >> wilcox.test(Sample,mu=mean(All), alt="two.sided") > > Wilcoxon signed rank test with continuity correction > > data: AlphaNoteOnsetDists > V = 63855, p-value = 0.0002093 > alternative hypothesis: true location is not equal to 0.4115136 > >> wilcox.test(Sample,mu=mean(All), alt = "greater") > > Wilcoxon signed rank test with continuity correction > > data: AlphaNoteOnsetDists > V = 63855, p-value = 0.0001047 > alternative hypothesis: true location is greater than 0.4115136 > > What assumptions are needed for the population?
wikipedia says: "The Wilcoxon signed-rank test is a _non-parametric_ statistical hypothesis test for... " it also talks about the assumptions. > What can we say according these results? > p-value for the "less" is 0.999. That the p-value for less and greater seem to sum up to one, and that the p-value of greater is half of that for two-sided. You shouldn't ask what we can say. You should ask yourself "What was the question and is this test giving me an answer on that question?" Cheers Joris -- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php ______________________________________________ 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.
