# How would you characterize the kurtosis of the distribution in Question 4leptokurtic, mesokur-tic, or platykurtic? Provide a rationale for your answer

EXERCISE 26

Name: _______________________________________________________ Class: ________________ Date:________________________________________________________

1. Plot the frequency distribution for Age at Enrollment by hand or by using SPSS. 2.

How would you characterize the Skewness of the distribution in Question 1positively skewed, negatively skewed, or approximately normal? Provide a rationale for your answer.

3. Compare the original Skewness statistic and Shapiro-Wilk statistic with those of the smaller dataset (n = 15) for the variable Age at First Arrest. How did the statistics change, and how would you explain these differences?

4. Plot the frequency distribution for Years of Education by hand or by using SPSS.

5. How would you characterize the kurtosis of the distribution in Question 4leptokurtic, mesokur-tic, or platykurtic? Provide a rationale for your answer.

6. What is the Skewness statistic for Age at Enrollment? How would you characterize the magnitude of the Skewness statistic for Age at Enrollment?

7. What is the kurtosis statistic for Years of Education? How would you characterize the magnitude of the kurtosis statistic for Years of Education?

8. Using SPSS, compute the Shapiro-Wilk statistic for Number of Times Fired from Job. What would you conclude from the results?

9. In the SPSS output table titled Tests of Normality, the Shapiro-Wilk statistic is reported along with the Kolmogorov-Smirnov statistic. Why is the Kolmogorov-Smirnov statistic inappropriate to report for these example data?

10. How would you explain the Skewness statistic for a particular frequency distribution being low and the Shapiro-Wilk statistic still being signi?cant at p < 0.05?