This document provides information on calculating effect sizes when comparing two means. It defines effect size as the extent to which a phenomenon is present in a population or how false the null hypothesis is. It lists several common effect size measures for different statistical tests, including Cohen's d for independent groups t-tests, correlation coefficients for correlational analyses, and eta squared and omega squared for ANOVA. An example is given of computing Cohen's d to compare study habits between public and private school students using t-test results.