An inquiry into the quality of a statistical test by calculating the power - the probability of rejecting the null hypothesis given that it is false - under certain circumstances. Power analysis is often used when planning a study to determine the sample size required to achieve a nominal level of power (e.g. $80\%$) for a given effect size. In many situation theoretical calculations are intractable so power analysis is done by simulation.

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