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Power
In statistics, the probability of correctly rejecting the null hypothesis when it is false.
Type I Error
The incorrect rejection of a true null hypothesis in statistical hypothesis testing.
Type II Error
A statistical mistake of failing to reject a false null hypothesis, missing an actual effect or difference when it exists.
Power
In statistics, power refers to the probability that a test will reject a false null hypothesis, essentially measuring the test's capability to detect an effect if there is one.
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