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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.


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