Statistics for Business and Economics
8th Edition
ISBN: 9780132745659
Author: Paul Newbold, William Carlson, Betty Thorne
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 4.4, Problem 38E
To determine
Determine the probability.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
QUESTION 11
ABC Store's data of the past 500 days shows
that the online daily sales of a cooking pot of
a special brand was between ten and eighteen
pots. If of the 500 days, there were 100 days
with daily sale of 15 pots, then what is the
probability that the daily sale is 15 pots? (Put
your result in a decimal number. Keep 3
digits after the decimal points.)
Decorators Co. got a 15-year loan from NatWest Bank in 2016 for an amount of £22 million. The loan was taken at an annual interest rate of 12%. After 5 years in 2021, Decorators Co. had managed to pay back £9.5million. Currently owing on the loan is the principal balance plus interest of £800,000. In 2021, the probability that Decorators Co. defaults on the loan is 4.5%, in the same year, if there is a default, NatWest bank expects that it will be able to recover 75% of the loan. Given the information above, you are required to determine:
Exposure at default (EAD)
Value of Loss given default value (LGD)
Expected loss (EL)
Suppose Don's wants to invest to build a condominium tower in Moscow. If he can get
his friend Vlad to buy one of the units, he figures the investment will be a success
(because all Vlad's rich friends will want to buy one too) and his income will be
$1,000,000 this year. However, there is a 60% chance that Vlad will not be interested. In
that case, the investment will fail and Don's income will be only $100,000.
Don's utility function is U=In(income)
The British insurance company Lloyds of London will insure the investment and they will
charge him a premium of $600,000.
Graph the risk situation described above. Note the expected utility.
What would be the actuarially fair premium for a policy that would pay Don
$900,000 in the event the investment fails?
а.
b
С.
What is Don's Risk Premium?
d.
Will Don buy the policy from Lloyd's of London? Explain why or why not?
Chapter 4 Solutions
Statistics for Business and Economics
Ch. 4.1 - Prob. 1ECh. 4.1 - Prob. 2ECh. 4.1 - Prob. 3ECh. 4.1 - Prob. 4ECh. 4.1 - Prob. 5ECh. 4.1 - Prob. 6ECh. 4.1 - Prob. 7ECh. 4.1 - Prob. 8ECh. 4.2 - Prob. 9ECh. 4.2 - Prob. 10E
Ch. 4.2 - Show the probability distribution function of the...Ch. 4.2 - Prob. 12ECh. 4.2 - Prob. 13ECh. 4.2 - Prob. 14ECh. 4.3 - Prob. 15ECh. 4.3 - Prob. 16ECh. 4.3 - Prob. 17ECh. 4.3 - Prob. 18ECh. 4.3 - Prob. 19ECh. 4.3 - Prob. 20ECh. 4.3 - Prob. 21ECh. 4.3 - Prob. 22ECh. 4.3 - Prob. 23ECh. 4.3 - Prob. 24ECh. 4.3 - Prob. 25ECh. 4.3 - Prob. 26ECh. 4.3 - A store owner stocks an out-of-town newspaper that...Ch. 4.3 - Prob. 28ECh. 4.3 - Prob. 29ECh. 4.4 - Prob. 30ECh. 4.4 - Prob. 31ECh. 4.4 - Prob. 32ECh. 4.4 - Prob. 33ECh. 4.4 - Prob. 34ECh. 4.4 - Prob. 35ECh. 4.4 - Prob. 36ECh. 4.4 - Prob. 37ECh. 4.4 - Prob. 38ECh. 4.4 - Prob. 39ECh. 4.4 - Prob. 40ECh. 4.4 - Prob. 41ECh. 4.4 - Prob. 42ECh. 4.4 - Prob. 43ECh. 4.4 - Prob. 44ECh. 4.4 - Prob. 45ECh. 4.4 - Prob. 46ECh. 4.4 - Prob. 47ECh. 4.4 - Prob. 48ECh. 4.4 - A company receives large shipments of parts from...Ch. 4.5 - Prob. 50ECh. 4.5 - Prob. 51ECh. 4.5 - Prob. 52ECh. 4.5 - Prob. 53ECh. 4.5 - Prob. 54ECh. 4.5 - Prob. 55ECh. 4.5 - Prob. 56ECh. 4.5 - Prob. 57ECh. 4.5 - Prob. 58ECh. 4.5 - Prob. 59ECh. 4.5 - Prob. 60ECh. 4.5 - Prob. 61ECh. 4.5 - Prob. 62ECh. 4.6 - Compute the probability of 7 successes in a random...Ch. 4.6 - Compute the probability of 9 successes in a random...Ch. 4.6 - Compute the probability of 3 successes in a random...Ch. 4.6 - Compute the probability of 8 successes in a random...Ch. 4.6 - Prob. 67ECh. 4.6 - Prob. 68ECh. 4.6 - Prob. 69ECh. 4.6 - Prob. 70ECh. 4.7 - Prob. 71ECh. 4.7 - Prob. 72ECh. 4.7 - Prob. 73ECh. 4.7 - Prob. 74ECh. 4.7 - Prob. 75ECh. 4.7 - Prob. 76ECh. 4.7 - Prob. 77ECh. 4.7 - Prob. 78ECh. 4.7 - Prob. 79ECh. 4.7 - Prob. 80ECh. 4.7 - Prob. 81ECh. 4.7 - Prob. 82ECh. 4.7 - Prob. 83ECh. 4.7 - Prob. 84ECh. 4 - Prob. 85ECh. 4 - Prob. 86ECh. 4 - Prob. 87ECh. 4 - Prob. 88ECh. 4 - Prob. 89ECh. 4 - Prob. 90ECh. 4 - Prob. 91ECh. 4 - Prob. 92ECh. 4 - Prob. 93ECh. 4 - Prob. 94ECh. 4 - Prob. 95ECh. 4 - Prob. 96ECh. 4 - Prob. 97ECh. 4 - Prob. 98ECh. 4 - Prob. 99ECh. 4 - Prob. 100ECh. 4 - Consider a country that imports steel and exports...Ch. 4 - Prob. 102ECh. 4 - Prob. 103ECh. 4 - Prob. 104ECh. 4 - Prob. 105ECh. 4 - Prob. 106E
Knowledge Booster
Similar questions
- Example is given: A petrol pump is supplied with petrol once a day. If its daily volume of sales (X) in thousands of litres is distributed by: f(x) = 5 (1-x), Osxs1, %3D what must be the capacity of its tank in order that the probability that its supply will be exhausted in a given day shall be 0.01 ?arrow_forwardThe probability that a visitor to an animal shelter will adopt a dog is 0.10. Out of 9 visits, what is the probability that at least (equal to or more than) 1 dog will be adopted? a. 0.3874 b. 0.6126 c. 0.5639 d. 0.1342arrow_forwardSOLVE 9 and 10.arrow_forward
- The promoter of a football game is concerned that it will rain. She has the option of spending $14,040 on insurance that will pay $39,000 if it rains. She estimates that the revenue from the game will be $65,040 if it does not rain and $30,040 if it does rain. What must the chance of rain be if buying the policy has the same expected return as not buying it? Write expressions showing the expected returns if the promoter does and does not purchase the insurance, using p to represent the probability of rain. Without insurance, E(return) = With insurance, E(return) = The chance of rain must be _%.arrow_forwardA lottery has a grand prize of $1,000,000, 2 runner-up prizes of $100,000 each, 6 third-place prizes of $10,000 each, and 19 consolation prizes of $1,000 each. If a 4 million tickets are sold for $1 each, and the probability of any ticket winning is the same as that of any other winning, find the expected return on a $1 ticket. (Round your answer to 2 decimal places.arrow_forwardQUESTION :- An insurance company would like to offer theft insurance for renters. The policy would pay the full replacement value of any items that were stolen from the apartment. Some apartments have security alarms installed. Such systems detect a break-in and ring an alarm within the apartment. The insurance company estimates that the probability of a theft in a year is 0.05 if there is no security system and 0.01 if there is a security system (there cannot be more than one theft in any year). An apartment with a security system costs the renter an additional $50 per year. Assume that the dollar loss from a theft is $10,000 and that the insurance company is risk neutral and the renter would be willing to pay more than the expected loss to insure against the loss of theft. For a security system to be effective the renter must turn it on whenever he or she leaves the apartment. Suppose it costs the renter $10 per year in expended effort to turn on the alarm system. What is the…arrow_forward
- What do we call the probability of a Type I error?arrow_forwardThe probability that the next President will be a Democrat is 0.5, and the probability that the next President will be a woman is 0.3. The probability the next President will be a woman and a Democrat is 0.1. What is the probability the next President will be a Democrat or a woman?arrow_forwarda. A company produces lightbulbs whose life follows a normal distribution, with mean 1200 hours and standard deviation 250 hours. If we choose a lightbulb at random, what is the probability that its lifetime will be between 900 and 1300 hours? (answer in three decimal places)arrow_forward
- 5.100 Tossing a die. You are tossing a balanced die that has probability 1/6 of coming up 1 on each toss. Tosses are independent. We are interested in how long we must wait to get the first 1. (a) The probability of a 1 on the first toss is 1/6. What is the probability that the first toss is not a 1 and the second toss is a 1? (b) What is the probability that the first two tosses are not 1s and the third toss is a 1? This is the probability that the first 1 occurs on the third toss. 4 (c) Now you see the pattern. What is the probability that the first 1 occurs on the fourth toss? On the fifth toss?arrow_forwardYou work at a mechanic shop. 40% of cars that come in have a flat tire. If there are 50 cars in the shop, what is the probability that more than 30 have a flat tire? Round to three decimal points.arrow_forwardYou may need to use the appropriate appendix table or technology to answer this question. Shoppers enter a mall at an average of 360 per hour. (Round your answers to four decimal places.) (a) What is the probability that exactly 15 shoppers will enter the mall between noon and 12:05 p.m.? 0.0010 (b) What is the probability that at least 70 shoppers will enter the mall between 5:00 and 5:10 p.m.? 0.0985 Xarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSON
Engineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage Learning
Managerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education
Principles of Economics (12th Edition)
Economics
ISBN:9780134078779
Author:Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:PEARSON
Engineering Economy (17th Edition)
Economics
ISBN:9780134870069
Author:William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher:PEARSON
Principles of Economics (MindTap Course List)
Economics
ISBN:9781305585126
Author:N. Gregory Mankiw
Publisher:Cengage Learning
Managerial Economics: A Problem Solving Approach
Economics
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-...
Economics
ISBN:9781259290619
Author:Michael Baye, Jeff Prince
Publisher:McGraw-Hill Education