Definition: Size of a statistical test
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The Book of Statistical Proofs ▷
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Size of a test
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Metadata: ID: D132 | shortcut: size | author: JoramSoch | date: 2021-03-19, 14:46.
Definition: Let there be a statistical hypothesis test with null hypothesis $H_0$. Then, the size of the test is the probability of a false-positive result or making a type I error, i.e. the probability of rejecting the null hypothesis $H_0$, given that $H_0$ is actually true.
For a simple null hypothesis, the size is determined by the following conditional probability:
\[\label{eq:size-h0-simp} \mathrm{Pr}(\text{test rejects } H_0 \vert H_0) \; .\]For a composite null hypothesis, the size is the supremum over all possible realizations of the null hypothesis:
\[\label{eq:size-h0-comp} \operatorname*{sup}_{h \in H_0} \mathrm{Pr}(\text{test rejects } H_0 \vert h) \; .\]- Wikipedia (2021): "Size (statistics)"; in: Wikipedia, the free encyclopedia, retrieved on 2021-03-19; URL: https://en.wikipedia.org/wiki/Size_(statistics).
Metadata: ID: D132 | shortcut: size | author: JoramSoch | date: 2021-03-19, 14:46.