# Power Curve of a Mean Test

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The power of a hypothesis test is the probability of correctly rejecting the null hypothesis. Power is shown as the shaded area in the plot on the left and as a function of the noncentrality parameter, , in the plot on the right. Power depends on the effect size, , as well as the sample size, , and the significance level, .

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Contributed by: Sijia Liang and Bruce Atwood (August 2011)

(Beloit College)

Open content licensed under CC BY-NC-SA

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