In article <[EMAIL PROTECTED]>, Glen <[EMAIL PROTECTED]> wrote: >I assume that what [EMAIL PROTECTED] (seenu) intended to ask was: >> Is pearson's chi-square for testing independence in two-way >> contingency tables a non-parametric statistical test?
>The answer depends on who you ask, or on how you define >"nonparametric". (Some definitions will exclude it.) >It is widely, but not universally, regarded as one; many >textbooks on nonparametric statistics include it. This is a poor way of putting it. A non-parametric test, more precisely a distribution-free test, is one where the test properties are unchanged under reasonable changes, usually taken to be continuous transformations, of the variables. This is not possible in two-way tables. For two-way contingency tables, the marginals definitely affect the properties of the test for independence. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Department of Statistics, Purdue University [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
