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Revision as of 14:20, 7 November 2023 by Editor iHTS (talk | contribs) (Created page with "In hypothesis testing, the probability of a Type II error, i.e. the probability of concluding incorrectly that a null hypothesis is true. '''Note:''' For example, β could be the probability of concluding that an intervention is not effective when it has a true effect. (1-β) is the statistical power of a test allowing for rejection of a null hypothesis that is truly false (e.g. detecting the effect of an intervention that truly exists). (Related concepts: hy...")
In hypothesis testing, the probability of a Type II error, i.e. the probability of concluding incorrectly that a null hypothesis is true.
Note: For example, β could be the probability of concluding that an intervention is not effective when it has a true effect. (1-β) is the statistical power of a test allowing for rejection of a null hypothesis that is truly false (e.g. detecting the effect of an intervention that truly exists).
(Related concepts: hypothesis testing, statistical power)