In article <[EMAIL PROTECTED]>,
San <[EMAIL PROTECTED]> wrote:
>Would there be some cases which the p-value are so difficult to find
>that it's nearly impossible? Is this a kind of limitation to the
>hypothesis testing using p-value? Is there any substitute for the
>p-value?
>Thx for ur reply.
This is often the case, but I do not believe it is what
is being referred to.
One can have very low p-values and very little importance,
and high p-values and great importance. When it comes to
deciding what action to take, the p-value without other
information may even be misleading.
For example, suppose there are two treatments for a disease.
One is significant at a p-value of .0000001, and the other
gives a "nonsignificant" p-value of .2. From the data, I
might very well prefer the one which is not significant.
>Jerry Dallal wrote:
>> I wrote:
>> > (1) statistical significance usually is unrelated to practice
>> > importance.
>> I meant to type "practical importance".
--
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 and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=================================================================
