Question 1. Historically a bank expects about 5% of its borrowers to default (not repay). The bank currently has 250 loans outstanding.
(a) In order to use a binomial model to compute the probabilities associated with defaults, what must the bank assume about the behavior of these borrowers?
(b) Do the necessary assumptions listed in part (a) appear reasonable in the context of this problem?
(c) The bank has reserves on hand to cover losses if 25 of these loans were to default. Will these reserves will be enough?
52 33 70 95 57 61
57 64 54 94 38 61
50 39 94 63 59 31
68 88 93 48 82 82
74 70 92 76 98 91
32 33 31 75 54 48
36 64 63 66 92 98
36 54 71 86 84 55
91 34 64 67 89 78
97 92 53 56 68 55
93 42 51 77 36 93
44 66 63 33 68 79
83 53 86 76 35 40
55 41 36 39 42 96
60 53 38 51 95 56
48 69 49 33 95 37
83 62 96 34 85 32
39 59 77 62 35 34
54 89 36 45 83 34
39 61 88 86 55 33
69 54 30 38 79 77
95 34 38 91 80 90
88 45 95 71 80 43
61 40 31 61 58 53
91 63 60 94 98 53
50 34 75 74 90 98
1. Make the frequency distribution table with appropiate class interval, frequency,
cumulative frequency.
2. Calculate the standard deviation, variance and range
3. Make the following diagrams: Histogram, Frequency Polygon, Ogive
1. The lifetime of light bulbs produced by a company are normally distributed with mean 1000 hours and standard deviation 130 hours.
a) The top 30% of all light bulbs should last at least how many hours?
b) What is the probability that a randomly selected light bulb will last at least 900 hours?
c) If we randomly select 8 light bulbs, what is the probability that the average of these light bulbs will last more than 1050 hours?