Answer 13-14

Equation AaBbCcDdEe AaBbCcDdEe AaBbCcDC AaBbCCD Normal No Spacing Heading 1 Heading 2 24. CAGIIIIIIE LIFE ! CSUILS VI LEVELIE > LESL IV1 Equality VI valIdIILE In unndunces ain homogeneity of variance supported? Interpreting the Test Statistics Once the assumptions have been met, we can interpret the results of our statistical test. We must be sure to interpret the correct test statistic on the table. 13. Examine the Independent Samples Test table that you created. Which test statistic should we interpret and why? 14. Is the difference between the two g ally significant? How do you know? Calculating and Interpreting Effect Size Next, we will determine the practical significance of our findings. To do this, we must calculate the effect size of the difference between the two means using Cohen's d using the following formula: d = 3 M1 - Mz SDpooled But we will first have to calculate the pooled standard deviation for the two groups using this formula: SDpooled = (SD, + SD23) Look back at the descriptive statistics table above to find the standard deviations of the two groups. Plug those values into the formula to calculate the pooled standard deviation. SDpooled = 2+ 2)