At 05:56 PM 11/12/2002 -0500, you wrote:
>Mike, could you expand on how it is that a p-value is
>only meaningful if the Null is true? I understand the
>second part of your statement (Replication only useful
>is Null is rejected)... but would like more info on
>the first...
>
>cheers!
>
>Jean-Marc
>

The probability of events must be computed under the assumptions for some
probability distribution. We can only make a Type I Error if the null
hypothesis is in fact true. P-values (the probability of a Type I Error) are
computed under the assumption that the null hypothesis is correct. Our
decision
point (or critical value for the test statistic) is determined by the point in
the probability distribution that places 5% (for a p-value of .05) of the
outcomes for the test statistic in the rejection region. Thus, we select a
critical value so that we will reject the null hypothesis when it is true only
5% of the time.

If the null hypothesis is, in fact, false, this distribution is irrelevant to
the computation of probabilities for outcomes and some other distribution
should be used (based on the distribution of values for the test statistic
under the alternative hypothesis). This other distribution is the one we use
when we try to compute the power of the statistic, which corresponds to the
proportion of outcomes in the rejection region of the distribution defined by
the alternative hypothesis. The big problem for the computation of power is
that we don't know which of an infinite number of distributions, all
consistent
with the alternative hypothesis, is the correct one to use to calculate the
value of power. We must assume (and this is a big assumption) the effect size,
which defines one distribution for the computation of power.

Hope this helps.

Claudia Stanny


________________________________________________________

Claudia J. Stanny, Ph.D.                e-mail: [EMAIL PROTECTED]
Department of Psychology                Phone:  (850) 474 - 3163
University of West Florida              FAX:    (850) 857 - 6060
Pensacola, FL  32514 - 5751     

Web:    http://www.uwf.edu/psych/stanny.html

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