Question'l X E StatCerch / 1" '1 My Data sets 1'\". Final project C ' " statcrunch.com , ' ' @ Statcru "Ch 0 grace969004@my.yosemite.e... Final project StatCrunch V Applets V Edit V Data V Stat V Graph V Help V W Row Gender Class Hours Work Loans CC Debt Var7 var8 m 9 l x Var15 1 Male 4 15 18 15109 8697 Gender 2 Male 1 11 21 4171 1190 3 Male 3 13 0 0 3828 4 Male 3 16 0 12503 5473 5 Female 2 l 6 0 0 23 84 6 Male 1 9 22 4040 1 5 3 3 7 Male 1 17 215 3973 1879 Malc' . 8 Female 2 l4 0 8351 2573 9 Female 3 1 8 0 0 2672 10 Male 2 13 0 0 1955 11 Male 4 9 24 15477 3056 12 Male 4 20 10.5 16308 14392 13 Male 1 12 16.5 2602 1570 14 Male 2 l 2 0 0 2564 15 Male 1 10 22 4377 1400 16 Male 1 14 17 3324 1183 17 Female 3 15 20 12783 2280 18 Female 2 14 1115 7646 0 19 Female 4 12 1615 15998 4101 Female. . 20 Female 1 15 0 0 1 107 21 Female 2 9 0 7394 1653 22 Female 4 9 24.5 16121 7784 23 Male 1 l4 0 0 1979 24 Female 1 10 28.5 4857 1288 25 Female 1 9 23 0 l 202 ' ' 26 Male 4 12 0 0 8507 b 2000 4000 6000 8000 10000 12000 14000 27 Female 1 9 2215 0 0 E CC Del" 28 Female 3 17 0 0 2624 29 Female 3 11 26 13413 3989 30 Female 2 14 20 5970 2713 3 1 Male 2 18 0 0 2662 32 Female 1 l8 0 2476 1208 m 4225 1350 1) Describe the distribution of credit card debt separated by gender. A. Make a boxplot using StatCrunch and provide appropriate numerical summaries for the boxplot. (see the video below to learn how) B. Describe the shape, center, and spread using numerical measures that best describe the distribution. C. Include your StatCrunch graph in your response for part (1). (see the video below to learn how) 2) Do the data suggest that males or females are more likely to have higher credit card debt? Why or why not? Use the data to support your