Is p-value involved in Neyman-Pearson Testing procedure?

Asked Oct 22 '13 at 01:44

Active Oct 22 '13 at 01:44

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It seems to me that, after having a predetermined level of significance, the Neyman-Pearson approach only requires to see if the observed x lies in the rejection region or not. In this case, how to relate it to p-value? Or is it an alternative way to judge if x is rejected or not by using p-values? After reading some references about NP and Fisher's treatment, I am confused.

Thank you for any suggestion.

asked Oct 22 '13 at 01:44

user28363

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It may help you to read my answer here: [When to use Fisher and Neyman-Pearson framework?](http://stats.stackexchange.com/questions/23142//51823#51823) As for how the rejection region relates to p-values, the RR is defined as that region where $p – gung - Reinstate Monica Oct 22 '13 at 01:51
It is an excellent explaniation. So under Neyman's setting, does it requre any property of T(x), so that p – user28363 Oct 22 '13 at 01:58
I'm not sure I totally follow your question, but there is no property of T(x) being in the rejection region except that p – gung - Reinstate Monica Oct 22 '13 at 02:04
My question is that, how does p – user28363 Oct 22 '13 at 03:55
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Yes, p – gung - Reinstate Monica Oct 22 '13 at 04:15

Is p-value involved in Neyman-Pearson Testing procedure?

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