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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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