Really Dumb Question...

Dear All:

I know this is not a great question but I am curious. Here
goes.......

If power is the ability to detect a significant difference given
that one exits, then why is it important to evaluate it in studies
where a significant difference was actually found (null was
rejected). Is it because the rejection was based on the sample data
but but the hypothesis refers to a theoretical population where the
null is not true - two different things?

I know there is a bias towards type I errors in publication and
not enough attention paid to type II errors......

Thanks,
Marc

.

Relevant Pages

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    ... If power is the ability to detect a significant difference given ... Is it because the rejection was based on the sample data ...
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