\f\fFill in the information about the data. Pre-test Post-test M SD Skew KurtosisLet's say that we find an effect during a hypothesis test. One of the most important things is to find the SIZE of the effect--which is logically called Effect Size! :) There are many types of Effect sizes, but let's start with one you'll use with t-tests, called Cohen's d. The formula for Cohen's d is: Cohen's d = |Mean of differences|/SD of Differences In words, "the Absolute Value of the mean of the differences between observations, divided by the standard deviation of the differences." Absolute value is the distance a number is from zero. So, the absolute value of -20 is 20, the absolute value of -5.7 is 5.7, etc. What's the effect size in our dataset? Is this small, medium, or large