| 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.
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