Power can be determined by knowing the sample size, the significance level, and an estimate of the study's effect size.
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Q26: To interpret fully an inferential statistic, it
Q27: Power is the probability of rejecting a
Q28: It is best to have power be
Q29: Power from a statistical point of view
Q30: Ideally, one should aim for a power
Q32: In order to gain power, the alpha
Q33: Within-group variability decreases the statistical power of
Q34: An increased sample size will increase variability
Q35: A small sample size may not produce
Q36: The only proven method for increasing power
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