Student Solutions Manual for Basic Business Statistics

13th Edition

ISBN: 9780321926708

Author: David M. Levine; Mark L. Berenson; Timothy C. Krehbiel; Kathryn A. Szabat; David F. Stephan

Publisher: Pearson Education

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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Textbook Question

Chapter 6, Problem 12PS

In 2012, the per capita consumption of soft drinks in the United States was reported to be 44 gallons. (Data extracted from on-msn.com/XdwVlq.) Assume that the per capita consumption of soft drinks in the United States is approximately normally distributed with a mean of 44 gallons and a standard deviation of 14 gallons.

a. What is the probability that someone in the United States consumed more than 60 gallons of soft drinks in 2012?

b. What is the probability that someone in the United States consumed between 15 and 30 gallons of soft drinks in 2012?

c. What is the probability that someone in the United States consumed less than 15 gallons of soft drinks in 2012?

d. Ninety-nine percent of the people in the United States consumed less than how many gallons of soft drinks?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 6, Problem 11PS

Chapter 6, Problem 13PS

Chapter 6 Solutions

Student Solutions Manual for Basic Business Statistics

Ch. 6 - Given a standardized normal distribution (with a...Ch. 6 - Given a standard normal distribution (with a mean...Ch. 6 - Given a standardized normal distribution (with a...Ch. 6 - Given a standardized normal distribution (with a...Ch. 6 - Given a normal distribution with =100 and =10,...Ch. 6 - Given a normal distribution with =50 and =4, what...Ch. 6 - Prob. 7PS Ch. 6 - Tobyâ€™s Trucking Company determined that the...Ch. 6 - Prob. 9PS Ch. 6 - A Set of final examination grades in an...

Ch. 6 - Prob. 11PS Ch. 6 - In 2012, the per capita consumption of soft drinks...Ch. 6 - Many manufacturing problems involve the matching...Ch. 6 - Show that for a sample of n=39, the smallest and...Ch. 6 - For a sample of n=6, list the six Z values.Ch. 6 - Prob. 16PS Ch. 6 - Prob. 17PS Ch. 6 - The file Property Taxes contains the property...Ch. 6 - Prob. 19PS Ch. 6 - One operation of a mill is to cut pieces of steel...Ch. 6 - Prob. 21PS Ch. 6 - The file Utility contains the electricity costs,...Ch. 6 - Suppose you select one value from a uniform...Ch. 6 - The time between arrivals of customer at a bank...Ch. 6 - A study of the time spent shopping in a...Ch. 6 - How long does it take to download a two-hour movie...Ch. 6 - The Scheduled commuting time on the Long Island...Ch. 6 - Prob. 28PS Ch. 6 - Prob. 29PS Ch. 6 - Prob. 30PS Ch. 6 - Autos arrive at a toll plaza located at the...Ch. 6 - Prob. 32PS Ch. 6 - Prob. 33PS Ch. 6 - Prob. 34PS Ch. 6 - The time between unplanned shutdowns of a power...Ch. 6 - Golfers arrive at the starter's booth of a public...Ch. 6 - Prob. 37PS Ch. 6 - Prob. 38PS Ch. 6 - Prob. 39PS Ch. 6 - Prob. 40PS Ch. 6 - Prob. 41PS Ch. 6 - Prob. 42PS Ch. 6 - Prob. 43PS Ch. 6 - Prob. 44PS Ch. 6 - An industrial sewing machine uses ball bearing...Ch. 6 - The fill amount in 2-liter soft drink bottles is...Ch. 6 - In an effort to reduce the number of bottles that...Ch. 6 - Prob. 48PS Ch. 6 - The file DomesticBeer contains the percentage...Ch. 6 - Prob. 50PS Ch. 6 - Prob. 51PS Ch. 6 - Prob. 52PS Ch. 6 - Prob. 53PS

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Solution Summary: The author calculates the probability that someone consumed more than 60 gallons of soft drinks. The required probability is 0.1271.

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