The power of a statistical test is the probability that it correctly rejects the null hypothesis when the null hypothesis is false (i.e. the probability of not committing a Type II error).

It can be equivalently thought of as the probability of correctly accepting the alternative hypothesis when the alternative hypothesis is true – that is, the ability of a test to detect an effect, if the effect actually exists.

… Statistical Power

# If you did not already know: “Statistical Power”

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Aug 2015

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