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Statistical power is the probability that a hypothesis test will correctly detect an effect or difference when it truly exists, essentially measuring how likely your study is to avoid a false negative. In modern research, it's crucial for designing experiments that can reliably uncover real phenomena, like in drug trials where low power might mean missing a life-saving treatment.
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