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?
What can we say according these results?
p-value for the "less" is 0.999.
Thanks in advance,
Atte
Atte Tenkanen
University of Turku, Finland
Department of Musicology
+35823335278
http://users.utu.fi/attenka/
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