Statistical power is the likelihood of a hypothesis test of detecting an effect if the effect is present. Statistical power is the probability, or likelihood, that a hypothesis test will correctly reject the null hypothesis. The higher the power the less probable the occurrence of a false negative, or type II error. Power is impacted by sample size and variance (that is, the actual difference in means between two groups).
Power (stats)
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