Finite Mathematics for Business, Economics, Life Sciences and Social Sciences

14th Edition

ISBN: 9780134677972

Author: Barnett

Publisher: PEARSON

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Textbook Question

Chapter 10.5, Problem 44E

In Problems 41-48, use the rule-of-thumb test to check whether a normal distribution (with the same mean and standard deviation as the binomial distribution) is a suitable approximation for the binomial distribution with

n = 20 , p = .6

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 10.5, Problem 43E

Chapter 10.5, Problem 45E

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Chapter 10 Solutions

Finite Mathematics for Business, Economics, Life Sciences and Social Sciences

Ch. 10.1 - (A) Using Figure 3, estimate the median annual...Ch. 10.1 - (A) Using Figure 6 estimate the revenue and costs...Ch. 10.1 - Repeat Example 1 for the following intervals: (A)...Ch. 10.1 - The weights (in pounds) were recorded for 20...Ch. 10.1 - (A) Construct a frequency table and histogram for...Ch. 10.1 - (A) Construct a frequency table and histogram for...Ch. 10.1 - Gross domestic product. Graph the data in the...Ch. 10.1 - Corporation revenues. Graph the data in the...Ch. 10.1 - Gold production. Use the double bar graph on world...Ch. 10.1 - Gasoline prices .Graph the data in the following...

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In Problems 41-48, use the rule-of-thumb test to check whether a normal distribution (with the same mean and standard deviation as the binomial distribution) is a suitable approximation for the binomial distribution with n = 20 , p = .6

Solution Summary: The author explains that the normal distribution is a suitable approximation for the binomial distribution.

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