MathLivePower of a statistical test
The power of a test is the probability that the test rejects the null hypothesis when a specific alternative hypothesis is true. It measures how well a test detects an effect that really exists.
\mathrm{power} = P\left(\text{reject } H_0 \mid H_1 \text{ is true}\right)What the symbols mean
| probability | |
| null hypothesis | |
| alternative hypothesis |
About this formula
- FieldStatistics
- TopicHypothesis testing
- LevelUniversity
- Also calledstatistical power, power of a hypothesis test, power formula, type II error complement, 1 minus beta, probability of correctly rejecting false null
- SourceWikidata Q1199823
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