Zusammenfassung
For situations where we are trying to decide which of two hypotheses $H_0$
and $H_1$ provides a better description of some data, we discuss the
usefulness of plots of $p_0$ versus $p_1$, where $p_i$ is the $p$-value
for testing $H_i$. They provide an interesting way of understanding the
difference between the standard way of excluding $H_1$ and the $CL_s$
approach; the Punzi definition of sensitivity; the relationship between
$p$-values and likelihood ratios; and the probability of observing misleading
evidence. They also help illustrate the Law of the Iterated Logarithm and the
Jeffreys-Lindley paradox.
Nutzer