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by bkfunk
1519 days ago
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Power is important if you want to distinguish between noise and true signals. In other words, if you care about P(real effect | significant). From good ol' Bayes we get: P(real|sig) = P(sig|real) x P(real) / P(sig) P(sig|real) is the power; so if you have more power, all other things being equal (a bit of a weaselly caveat), the likelihood that your stat sig result is real is higher. |
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