In hypotheses testing, the $p$-value is the smallest significance level $\alpha$ at which the test rejects $H_0$ if $H_0$ is in fact true.
Is there a similar concept as is $p$-value also for the type-II error $\beta$?
2026-02-23 04:51:21.1771822281
p-value, hypotheses testing, type II error
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