a)from the students randomly chosen in the given data set, we need to find the percent of students who do not work any amount.

b)We need to use the percentage in part (a) to generate a 95% confidence interval estimate for the percentage of all college students who do not work.

• Please show me your work in detail.
• Interpret your confidence interval in complete sentences. "We are 95% confident that...."

If you choose to write out your steps in handwritten work, please make it readable and understandable.

c)What is the margin of error for the confidence interval you found?What could you do to make the confidence interval more precise/smaller? Please explain using complete sentences.

• I sorted the "work" column in ascending order to find the number of students who do not work easily, so please

use that value to generate a percentage.

Row Gender Class Hours Work Loans CC Debt Female 15 0 1263 Female 17 0 6084 1757 Female 15 0 1200 Male 15 0 0 3047 Female 12 0 4975 1164 6 Male 0 1321 Male 0 2082 1 00 - Male 11092 5134 Female 0 3227 10 Female 0 6742 11 Male 1450 12 Male 12580 3087 13 Female 0 1039 14 Female 0 3799 15 Female 16089 4412 16 Female 0 1079 17 Male 0 4591 18 Male oooooo ooo ooo ooo ooo ooo ooo o 12406 12646 19 Male 0 6784 20 Female 0 0 21 Female 13275 0 22 Female 0 4202 23 Female 11479 3779 24 Female 0 1209 25 Female 0 1102 26 Female 7170 27 Male 4177 1745 28 Male 7898 4294 29 Female 0 1267 30 Female 0 2384Row Gender Class Hours Work Loans CC Debt 31 Female 2 16 0 2898 32 Female 12 15698 7210 33 Male 3 14 12021 9734 34 Male 4 19 0 6840 35 Male UJ 0 5284 36 Male 0 1804 37 Female 1855 1042 38 Female 4 0 2873 39 Female 2 0 0 40 Female 3 0 0 41 Female 4 0 4656 42 Female 4 0 4459 43 Male 2612 44 Female 4276 1215 45 Female 2222 46 Male 1675 47 Male 1200 48 Male 0 49 Male 3577 50 Female 0 1038 51 Female 0 6664 52 Female 5573 53 Female O 2186 54 Female 8968 0 55 Male 3 0 0 56 Female 0 6061 57 Female 3808 1213 58 Female 0 4910 59 Female 2310 1027 60 Male 0 5728Row Gender Class Hours Work Loans CC Debt var 61 Female 15 1722 62 Male 19 1326 63 Male 12 0 0 0 64 Male 18 7.5 7593 2840 65 Male 16 8 3416 1771 66 Female W H H 19 12 3547 1054 67 Male 17 13 0 3779 68 Male 16 13 16599 8862 69 Male 16 13.5 3525 1594 70 Male 18 18 8723 0 71 Male 11 18 4241 1348 72 Female 13 18 0 2271 73 Male 15 18 0 7745 74 Female 14 18.5 5087 1194 75 Female 15 18.5 12596 3596 76 Female 16 18.5 2846 1395 77 Female 10 18.5 0 3179 78 Male 14 19 0 2878 79 Male 17 19 0 1128 80 Female 12 19.5 3311 1124 81 Female 12 19.5 3144 1070 82 Female 9 20 18148 3592 83 Female 11 20.5 0 4358 84 Female 21 13529 4161 85 Female 9 21.5 11424 6164 86 Female 14 21.5 2110 948 87 Female 10 22 12562 3557 88 Female 12 22 2056 1189 89 Male 11 24.5 0 2609 90 Female 11 25 12343 5548\f