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### 11 Cards in this Set

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 Effect size a standardized difference between the means of two distributions D effect size is represented by what symbol? Power How likely are we to do what we want to do? (ie, correctly reject a false null) Power How much overlap is there between distributions for the null and alternative hypotheses? A use of power Given that we have a fixed alpha, what technique can we use to determine the required sample size to reject a specific alternative hypothesis? (ie, How big would N have to be so that if the alternative hypothesis were true, the null would be rejected 95% of the time?) alpha the probability of rejecting a true null 1- Beta, power the probability of rejecting a false H0 What are the three factors that affect power? effect size, sample size, significance level (one vs. two tailed) specify effect size, know H1 We can only compute 1-B if we specify/know... 1. reduce the population variance (by using a matched samples or dependent samples design) 2. Increase alpha (your definition of unlikely). 3. increase the effect size 4. use a larger sample size What are ways to increase power? A value for the alternative hypothesis must be specified. (in indep samples t test the difference betw means is just > or <). What is the unique thing about power computations and the alternative hypothesis?