8th Edition

ISBN: 9781337558075

Author: Charles Henry Brase, Corrinne Pellillo Brase

Publisher: Cengage Learning

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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 7, Problem 1LCWP

If you look up the word empirical in a dictionary, you will find that it means “relying on experiment and observation rather than on theory," Discuss the empirical rule in this context The empirical rule certainly applies to the normal distribution, but does it also apply to a wide variety of other distributions that are not exactly (theoretically) normal ? Discuss the terms mound-shaped and symmetric. Draw several sketches of distributions that are mound-shaped and symmetric. Draw sketches of distributions that are not mound-shaped or symmetric. To which distributions will the empirical rule apply ?

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 7, Problem DHGP

Chapter 7, Problem 2LCWP

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Chapter 7 Solutions

Understanding Basic Statistics

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Solution Summary: The author explains that the empirical rule applies only to normal or symmetrical, bell-shaped distributions.

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