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Power of a Test

The 'power' of a hypothesis test is a measure of the probability of rejecting the null hypothesis when it is false. The greater the power the more likely that a deviation from the null hypothesis condition will be detected.

The Power varies with the amount that the process varies from the target. The power of a test is its ability to detect a deviation 'δ' from a specified value.

The power of a test is calculated from (1-β ), where β is the probability of a Type II error.

 Hypothesis testing is covered in the MiC Quality Advanced Statistics Course. Try out our courses by taking the first module of the Primer in Statistics free of charge.
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