PART II: One-Wag ANOVA [10 Points! One of the most pressing social problems is the problem of drunk driving. Drunk driving causes untold human suffering and has profound economic effects. States have tried various things to inhibit drunk driving. Some states have tried to cut down on drunk driving within their borders by \"getting tough\" with drunk drivers. One way to do this is to suspend their driver's license and impose heavy fines, as well as jail and prison sentences, on those convicted of drunk driving. Other states have tried a \"moral appeal\" by mounting public relations campaigns that proclaim the harm and injury produced by drunk driving. You want to detemtine the effectiveness of these strategies. You calculate the rate of drunk driving per 1000,000 residents for each of the 50 states, and classify each state into one of three categories: a \"get tough\" state, a \"moral appe \" state, or a "contro \" state. The latter states do not do anything special to those who get caught drunk driving. Your summary data look like the following. Interpret everything below. Moral appeal states Control states N1=15 N2=15 N3=15 5r 1 = 125.2 5: 2 = 119.7 5: 3 = 145.3 --E- Variance SSJ'DF - 475.3 _ m- 679.3 With these summary data, do the following: a. Identify the independent variables and dependent variables, and levels of measurement b. Determine the correct number of degrees of freedom, calculate the ratio of sum of squares to degrees of freedom {mean square}, and determine the F ratio c. 1With an alpah of .01 [o = .01), test the null hypothesis that the three populations means are equal against the alternative hypothesis that some of them are different (you can google \".01 f-table\") d. Calculate and interpret eta squared