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4.55. Problem 2.119 on page 65 describes a survey of 40 MBA students (stored in Grade Survey). For these data, construct contingency tables of gender and graduate major, gender and undergraduate major, gender and employment status, graduate major and undergraduate major and graduate major and employment status.

ID Num Gender Age Height Major Graduate GPA Undergrad Specialization Undergrad GPA GMAT Employment Status Number of Jobs Expected Salary Anticipated Salary in 5 Years Satisfaction Advisement Spending

ID01 M 22 69 IS 3.90 CM 3.30 600 PT 0 45 75 5 200

ID02 M 35 67 A 3.92 O 3.34 480 FT 2 120 250 4 150

ID03 M 31 67 MR 3.77 BU 3.04 550 FT 2 85 120 5 65

ID04 M 28 73 M 3.43 BI 3.41 530 FT 4 100 150 5 150

ID05 M 36 70 EF 3.51 BU 3.12 610 FT 3 80 90 4 300

ID06 F 27 60 A 3.00 SS 3.50 460 FT 3 100 150 4 250

ID07 M 30 68 EF 3.65 CM 3.02 580 FT 5 100 125 4 400

ID08 M 28 66 A 3.00 CM 2.84 590 FT 1 60 100 6 60

ID09 F 24 65 UN 3.22 CM 3.13 570 FT 4 50 60 4 180

ID10 M 33 70 A 3.90 SS 3.24 530 PT 5 50 80 4 700

ID11 M 26 71 A 4.00 BU 3.89 550 FT 3 60 100 5 100

ID12 M 24 74 M 3.20 BU 3.22 500 FT 2 65 100 4 200

ID13 M 31 69 A 3.53 CM 3.33 540 FT 3 80 110 6 300

ID14 M 39 71 EF 3.42 CM 3.04 570 FT 2 100 150 1 100

ID15 F 29 63 MR 3.12 BU 3.14 480 UN 1 50 100 4 1000

ID16 M 26 74 MR 3.43 EN 2.56 600 FT 4 40 65 4 300

ID17 F 23 64 IS 3.75 CM 3.00 580 FT 1 70 100 5 200

ID18 F 26 63 A 3.30 HU 3.23 520 FT 3 60 75 4 150

ID19 M 30 63 EF 4.00 O 3.75 580 FT 3 105 120 6 150

ID20 F 25 63 MR 4.00 BU 3.72 650 FT 1 60 100 4 130

ID21 F 27 62 MR 3.25 ED 3.77 480 UN 2 45 65 4 300

ID22 F 25 63 EF 3.51 BU 3.64 500 FT 2 60 80 4 200

ID23 M 32 73 A 3.35 BU 2.87 580 FT 1 80 140 5 90

ID24 F 31 65 MR 3.22 BU 2.95 540 FT 3 65 85 6 170

ID25 M 25 68 EF 3.47 BU 3.18 590 PT 1 60 150 4 320

ID26 M 29 73 IB 3.67 HU 3.56 620 FT 2 65 135 4 200

ID27 F 25 64 MR 3.40 SS 3.26 600 FT 2 55 90 4 600

ID28 M 37 68 M 3.65 EN 3.41 530 FT 2 90 130 2 200

ID29 M 34 66 A 3.54 BI 3.38 540 FT 1 70 100 3 100

ID30 F 33 61 M 3.64 ED 2.79 570 FT 2 45 80 4 160

ID31 F 38 65 EF 4.00 BU 3.78 570 PT 1 80 110 4 230

ID32 M 30 72 EF 3.70 PS 3.55 550 FT 2 75 150 5 500

ID33 M 32 73 M 3.24 PA 3.17 580 FT 2 60 85 6 250

ID34 F 28 61 A 3.37 SS 3.68 610 FT 1 75 95 3 150

ID35 F 27 66 IS 3.56 CM 3.27 560 FT 1 65 90 4 120

ID36 M 41 74 IB 3.28 SS 3.65 490 FT 1 50 85 1 160

ID37 F 35 65 M 3.16 PS 3.29 510 FT 3 75 100 2 100

ID38 F 25 63 IS 3.59 CM 3.45 560 FT 1 60 90 3 160

ID39 M 32 70 EF 3.80 EN 3.03 600 FT 2 90 160 7 130

ID40 M 30 69 M 3.15 O 3.22 540 PT 1 55 85 6 110

a. For each of these contingency tables, compute all the conditional and marginal probabilities.

b. Based on (b), what conclusions can you reach about whether these variables are independent?

5.24. Investment advisors agree that near-retirees, defined as people aged 55 to 65, should have balanced portfolios. Most advisors suggest that the near-retirees have no more than 50% of their investments in stocks. However, during the huge decline in the stock market in 2008, 22% of near-retirees had 90% or more of their investments in stocks (P. Regnier, "What I Learned from the Crash," Money, May 2009, p. 114). Suppose you have a random sample of 10 people who would have been labelled as near-retirees in 2008.

What is the probability that during 2008

a. Zero had 90% or more of their investment in stocks?

b. Exactly one had 90% or more of his or her investment in stocks?

c. Two or fewer had 90% or more of their investment in stocks?

d. Three or more had 90% or more of their investment in stocks?

5.31. Assume that the number of network errors experienced in a day on a local area network (LAN) is distributed as a Poissonrandom variable. The mean number of network errors experienced in a day is 2.4. What is the probability that in any given day

a. Zero network errors will occur?

b. Exactly one network error will occur?

c. Two or more network errors will occur?

d. Fewer than three network errors will occur?