One-Way ANOVA: This test will assess whether sleep (DV) differs among students with different class levels (YEAR = IV). For the variable YEAR: Freshmen to Senior are labeled 1-4, respectively. 1. Does class level (year, the IV) affect how much sleep students get? Use the report generated for the DV: SLEEP a. What was the total sample size (N)?___________ b. What were the degrees of freedom between and degrees of freedom within for this F test (F(X,Y))? __________ c. What is the observed F value?_________ d. What is the calculated effect size (R2, or ?2, see notes for calculations)? _____ e. Describe the effect size in words (percentage of DV variance accounted for by IV - incorporate variable names into your answer). _________

Descriptives SLEEP 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum 1.00 18 6.7500 1.62924 38401 5.9398 7.5602 2.50 2.00 10 7.7000 1.70294 53852 6.4818 8.9182 5.00 3.00 16 6.8750 1.25831 31458 6.2045 7.5455 5.00 4.00 17 6.9412 1.43486 34800 6.2034 7.6789 5.00 Total 61 6.9918 1.49580 19152 6.6087 7.3749 2.50 Descriptives SLEEP Maximum 1.00 9.00 2.00 11.00 3.00 9.00 4.00 9.00 Total 11.00ANOVA SLEEP Sum of Squares df Mean Square F Sig. Between Groups 6.330 3 2.110 940 .427 Within Groups 127.916 57 2.244 Total 134.246 60Multiple Comparisons Dependent Variable: SLEEP Tukey HSD Mean 95% Confidence Interval (1) YEAR (J) YEAR Difference (I-J) Std. Error Sig. Lower Bound Upper Bound 1.00 2.00 -.95000 .59084 .382 -2.5136 6136 3.00 -. 12500 51472 995 -1.4872 1.2372 4.00 -.19118 50664 982 -1.5320 1.1496 2.00 1.00 .95000 59084 .382 -.6136 2.5136 3.00 82500 60388 525 -.7732 2.4232 4.00 75882 .59701 .585 -.8212 2.3388 3.00 1.00 .12500 51472 995 -1.2372 1.4872 2.00 -.82500 60388 525 -2.4232 7732 4.00 -.06618 .52179 999 -1.4471 1.3147 4.00 1.00 .19118 50664 982 -1.1496 1.5320 2.00 -.75882 .59701 .585 -2.3388 8212 3.00 06618 52179 .999 -1.3147 1.4471