According to Cohen's rule of thumb, a "medium" effect is one that is "visible to the naked eye of the careful observer". True False
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A study found statistically significant results for a hypothesis tested with an independent-samples t-test. According to Cohen's convention, the author of the study reported her effect size for the test as medium. According to Cohen's convention, this convention is: a. 0.2. b. 0.8. c. 0.3. d. 0.5.
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The sample size required to detect an effect size of 0.25 is larger than the sample size required to detect an effect size of 0.50 with 80% power and a 5% level of significance. True False
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