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, Problem 100E
To determine
Mean and variance for the total value of the stock portfolio.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Anticipated consumer demand in a restaurant for free-range steaks next month can be modeled by a normal random variable with mean 1,200 pounds and standard deviation 100 pounds.
a. What is the probability that demand will be between 1,100 and 1,300 pounds? Calculate in 4 decimal place.
b. The probability is 0.10 that demand will be more than how many pounds?
The mean cost of domestic airfares in the United States rose to an all-time high of $395 per ticket. Airfares were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. Assume domestic airfares are normally distributed with a standard deviation of $115. Use Table 1 in Appendix B.
a. What is the probability that a domestic airfare is $540 or more (to 4 decimals)?
b. What is the probability that a domestic airfare is $240 or less (to 4 decimals)?
c. What if the probability that a domestic airfare is between $300 and $490 (to 4 decimals)?
d. What is the cost for the 5% highest domestic airfares? (rounded to nearest dollar)
Suppose that Paul Atreides scored 41.5 on Exam 2. If everyone’s exam scores follow a normal distribution with an average score of 43.3 and a variance of 16, what is the probability that someone else’s score is higher than Paul? Graph the situation, shade in the area to be determined, and find the probability
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
- A pizza delivery service delivers to a campus dormitory. Delivery times follow a normal distribution with a mean of 20 minutes and a standard deviation of 4 minutes.a. What is the probability that a delivery will take between 15 and 25 minutes?b. The service does not charge for the pizza if delivery takes more than 30 minutes. What is the probability of getting a free pizza from a single order?c. During final exams, a student plans to order pizza five consecutive evenings. Assume that these delivery times are independent of each other. What is the probability that the student will get at least one free pizza?d. Find the shortest range of times that includes 40% of all deliveries from this service.e. For a single delivery, state in which of the following ranges (expressed in minutes) the delivery time is most likely to lie.18-20, 19-21, 20-22, 21-23f. For a single delivery, state in which of the following ranges (expressed in minutes) the delivery time is least likely to lie.18-20,…arrow_forwardThe accompanying table gives the outcomes and probability distribution of the number of times a student checks her e-mail daily: Outcome (X) (number of email checks) Probability Distribution f(x) 0 0.05 1 0.15 2 0.30 3 0.25 4 0.15 5 0.08 6 0.02 Calculate the expected value and the variance.arrow_forwardConverting to the standard normal random variable z, the probability statement P(x ≥ 43.5) is now P(z ≥ 3.90). Recall that the normal probability table gives area under the curve to the left of a given z value. Since we want the area to the right of z = 3.90 and the area under the entire curve is 1, the area to the left of z = 3.90 can be subtracted from 1. Use the table to find the probability that a student who has done their homework and attended lectures will obtain a grade of A on this test, P(z ≥ 3.90), rounding the result to four decimal places. P(z ≥ 3.90) = 1 − P(z ≤ 3.90) = 1 − =arrow_forward
- You work at a mechanic shop. On average, 10 cars come into your shop each day. Assuming a poisson distribution, what is the probability 4 cars come into the shop? Round to 4 decimal points.arrow_forwardAccording to AAA, the price of a gallon of regular, unleaded gas across gas stations in North Carolina is normally distributed with a mean of $2.39 and a standard deviation of $0.15. Find the price such that the probability that a randomly chosen gas station charges more than that price is 5%. Group of answer choices $2.14 $2.39 $2.52 $2.64 thanksarrow_forwardGiven that u = 10 and σ = 5, fill in the following probability statement if we are trying to find the probability that x is within 2 standard deviations of the mean. P ...≤ x ≤.....arrow_forward
- he local police department must write, on average, 5 tickets a day to keep department revenues at budgeted levels. Suppose the number of tickets written per day follows a Poisson distribution with a mean of 6.4 tickets per day. Find the probability that exactly 6 tickets are written on a randomly selected day from this populationarrow_forwardPlease do not give solution in image format thanku Two Manufacturers supply food to a large cafeteria. Manufacturer A supplies 40% of the soup served in the cafeteria, while Manufacturer B supplies 60% of the soup that is served. 3% of the soup cans provided by Manufacturer A are found to be dented, while 1% of the cans provided by Manufacturer B are found to be dented. Given that a can of soup is dented, find the probability that it came from Manufacturer B.arrow_forwardA NUMMI assembly line, which has been operating since 1984, builds 900 cars and trucks in a week. Generally, 10% of those cars are defective coming off the assembly line. What type of distribution does the event of having defective cars follow? What are the mean and standard deviation of this random event? (6 points) Can we apply the normal distribution to study this event? Check the conditions and answer the question. (6 points) Find the probability that the assembly line produces at least 825 cars, that are not defective and functional, in a week. Graph the situation, shade in the area to be determined, and find the probability. (6 points)arrow_forward
- Using the properties of variance, what is the variance of Y=4X−5 where Var(X)=1?arrow_forwardIf we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will take less than 4.5 minutes to find a parking spot in the library parking lot.arrow_forwardEarly in August an undergraduate college discovers that it can accommodate a few extra students. Enrolling those additional students would provide a substantial increase in revenue without increasing the operating costs of the college; that is, no new classes would have to be added. From past experience the college knows that the frequency of enrollment given admission for all students is 40%.a. What is the probability that at most 6 students will enroll if the college offers admission to 10 more students?b. What is the probability that more than 12 will actually enroll if admission is offered to 20 students?c. If the frequency of enrollment given admission for all students was 70%, what is the probability that at least 12 out of 15 students will actually enroll?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Managerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher: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