whats power in stats

Power is the probability of correctly rejecting a false null hypothesis. It is also 1 - Pr(Type II error).

You may want to consider things that generally increase power:

  • increasing sample size
  • increasing distance of hypothesized true value of parameter from null
  • increasing alpha

The probability of correctly rejecting the null hypothesis given that the alternate hypothesis is true. Think of it as the opposite as the TYPE 1 Error.

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