Effect size is the difference between two population means divided by the sample size.
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Q41: Power is the probability of correctly rejecting
Q42: Power is defined as the
A) probability of
Q43: According to statistical conventions, .80 is a
Q44: Power is higher when α is large
Q45: The larger the true difference between two
Q47: The probability of rejecting a false null
Q48: Which of the following determines how the
Q49: If δ = 2.80, and α =
Q50: As sample size increases, so does power.
Q51: We are trying to evaluate the efficacy
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