1. Please provide an interpretation of the table. What can be said about the distributions based on the information on the table. Are any variables more dispersed than others? If yes, how can you tell?

	Rate of Violent Crime Reported	Arrest Rate of Violent Crime	Rate of Population with High School Degrees	Rate of Unemployment within County	Rate of Children Below the Poverty Line
Mean	281.802	0.441	84.338	6.441	23.783
Median	232.100	0.429	86.000	6.207	23.200
Std. Deviation	200.360	0.230	8.451	2.065	8.749
Range	1927.980	1.000	67.500	22.429	62.600
Interquartile Range	233.050	0.298	11.431	2.572	12.000

2. a. Describe what these boxplots communicate about the distribution of each variable, and compare the two. Which statistics would be most useful for describing the dispersion among cases in these distributions? For instance, would all measures of dispersion be equally useful for each variable? Why or why not?

b. Based on the distributions of these variable, which statistic would you use for describing the center of each distribution? Explain your reasoning.

2000 1500 vio_rate_reported 1000 500 0 Total