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Re: Analysing performance data (somewhat OT stat question; sorry)
From: |
Mike Miller |
Subject: |
Re: Analysing performance data (somewhat OT stat question; sorry) |
Date: |
Thu, 23 Sep 2004 12:32:56 -0500 (CDT) |
On Thu, 23 Sep 2004, Henry F. Mollet wrote:
More than rusty myself on stats questions. How about non-parametric test
for association if two variable are known *not* to be bivariate normally
distributed. E.g. Kendall's coefficient of rank correlation (tau) and
Spearman's rank correlation (r_sub_s). See Sokal and Rohlf "Biometry"
for details. Mike below suggests a Wilcoxon Rank-Sum test, which I
surmise might be something similar.
Is that a question? If so, what is the question? The rank-sum test is a
test of whether two distributions have the same central tendency - a
"means" test. You can use Spearman's rank correlation (transform scores
to ranks, then take Pearson correlation) and test whether it differs
significantly from zero.
Mike
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