In article <[EMAIL PROTECTED]>,
RD <[EMAIL PROTECTED]> wrote:
>On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>>1. some test statistics are naturally (the way they work anyway) ONE sided
>>with respect to retain/reject decisions
>>example: chi square test for independence ... we reject ONLY when chi
>>square is LARGER than some CV ... to put a CV at the lower end of the
>>relevant chi square distribution makes no sense
>Hmm... do not want to start flame war but just can not go by such HUGE
>misconception about chi squared test. Indeed exactly reverse is true :
>chi squred test is always two tailed. There is nothing to prove just
>look at the definition : Khi^2(n)=sum(Z^2).
There is a way of looking at the chi-squared test otherwise.
In fact, a low chi-squared would constitute a question of
whether what purport to be random numbers really are.
--
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
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