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a. Why is it inappropriate to use terms such as highly significant to describe analyses significant at the p

b. Why is it useful to include a measure of effect size when reporting the results of a statistical analysis such as the t-test?

 c. Conceptually, what does it mean for one variable to account for the variance of another variable?

d. What is Cohen's (1988) guidelines for interpreting different effect sizes? e. Why are measures of effect size comparable across different research studies?

e. What is the difference between statistical significance and practical significance?

 f. A researcher conducts an analysis in which the null hypothesis is not rejected, yet a large measure of effect size is calculated. What advice might you give the researcher, and why?

g. What is the difference between the r 2 statistic and Cohen's d measure of effect size?

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