In article <[EMAIL PROTECTED]>, Ronny Richardson <[EMAIL PROTECTED]> wrote: >I understand that the chi-square test used for variance hypothesis testing >requires the population to be normal and is not robust so the accuracy of >the test is seriously affected by non-normal populations.
>I also know that the CLT says that sampling means are normally distributed. >Does the CLT help us out for chi-square tests on larger sample sizes? No. The CLT does tell us, if fourth moments exist, that the sample variances are asymptotically normal, but the variances of the asymptotic distributions depend on the fourth moments. -- 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, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399 [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/ . =================================================================
