In statistics, the size of a test is the probability of falsely rejecting the null hypothesis. That is, it is the probability of making a Type I error. It is denoted by the Greek letter α (alpha). For a simple hypothesis,
In the case of a composite null hypothesis, the size is the supremum over all data generating processes that satisfiy the null hypotheses.
A test is said to have significance level
References
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