In article <8c0ctq$kol$[EMAIL PROTECTED]>,
CD Madewell <[EMAIL PROTECTED]> wrote:
>I wonder if the writer of the original question really wanted a
>thesis or just a simple answer in how to look at a data set and decide
>which of the two test (he mentioned) to use. If he wanted a discussion
>on which test was more powerful and etc. he should have included that in
>his question. Although I was wrong to say it was the "main point", my
>answer does serve to offer a down to Earth method of decision making.
How should one decide which type of test to use EXCEPT by
looking at its power? Statistics is not a collection of
mantras to appease the gods.
In making a decision, one has to consider all the consequences
in all states of nature. The use of an "easy" test because
one has been taught it, without considering the consequences,
is wrong. The writer of the original question asked for the
reasons to use one or the other.
--
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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