Power is the probability of correctly rejecting a null hypothesis when it is false. It is a crucial concept in hypothesis testing, as it indicates how likely a test is to detect an effect when there truly is one. Understanding power helps researchers design studies with adequate sample sizes to ensure they have a high chance of identifying significant results.
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