Essentials of Statistics for Business and Economics (with XLSTAT Printed Access Card)
Essentials of Statistics for Business and Economics (with XLSTAT Printed Access Card)
8th Edition
ISBN: 9781337114172
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 6.2, Problem 22E

Television Viewing. Suppose that the mean daily viewing time of television is 8.35 hours. Use a normal probability distribution with a standard deviation of 2.5 hours to answer the following questions about daily television viewing per household.

  1. a. What is the probability that a household views television between 5 and 10 hours a day?
  2. b. How many hours of television viewing must a household have in order to be in the top 3% of all television viewing households?
  3. c. What is the probability that a household views television more than 3 hours a day?
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Chapter 6 Solutions

Essentials of Statistics for Business and Economics (with XLSTAT Printed Access Card)

Ch. 6.2 - Given that z is a standard normal random variable,...Ch. 6.2 - Given that z is a standard normal random variable,...Ch. 6.2 - 13. Given that z is a standard normal random...Ch. 6.2 - Given that z is a standard normal random variable,...Ch. 6.2 - Given that z is a standard normal random variable,...Ch. 6.2 - Given that z is a standard normal random variable,...Ch. 6.2 - 17. The mean cost of domestic airfares in the...Ch. 6.2 - The average return for large-cap domestic stock...Ch. 6.2 - Automobile Repair Costs. Automobile repair costs...Ch. 6.2 - Gasoline Prices. Suppose that the average price...Ch. 6.2 - Mensa Membership. A person must score in the upper...Ch. 6.2 - Television Viewing. Suppose that the mean daily...Ch. 6.2 - Time to Complete Final Exam. The time needed to...Ch. 6.2 - Labor Day Travel Costs. The American Automobile...Ch. 6.2 - 25. New York City is the most expensive city in...Ch. 6.3 - A binomial probability distribution has p=.20 and...Ch. 6.3 - Assume a binomial probability distribution has p =...Ch. 6.3 - Prob. 28ECh. 6.3 - Prob. 29ECh. 6.3 - 30. Playing video and computer games is very...Ch. 6.3 - Prob. 31ECh. 6.4 - Consider the following exponential probability...Ch. 6.4 - 33. Consider the following exponential probability...Ch. 6.4 - 34. Battery life between charges for the Motorola...Ch. 6.4 - 35. The time between arrivals of vehicles at a...Ch. 6.4 - Prob. 36ECh. 6.4 - Prob. 37ECh. 6.4 - 38. The Boston Fire Department receives 911 calls...Ch. 6 - 39. A business executive, transferred from Chicago...Ch. 6 - NCAA Scholarships. The NCAA estimates that the...Ch. 6 - Production Defects. Motorola used the normal...Ch. 6 - 42. During early 2012, economic hardship was...Ch. 6 - 43. The port of South Louisiana, located along 54...Ch. 6 - Service Contract Offer. Ward Doering Auto Sales is...Ch. 6 - The XO Group Inc. conducted a survey of 13,000...Ch. 6 - College Admissions Test Scores. Assume that the...Ch. 6 - 47. According to the National Association of...Ch. 6 - 48. A machine fills containers with a particular...Ch. 6 - Prob. 49SECh. 6 - Playing Blackjack. A blackjack player at a Las...Ch. 6 - Mean Time Between Failures. The mean time between...Ch. 6 - Prob. 52SECh. 6 - Do you dislike waiting in line? Supermarket chain...Ch. 6 - Prob. 54SE
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