Essentials of Statistics, Books a la Carte Edition (5th Edition)

5th Edition

ISBN: 9780321926739

Author: Mario F. Triola

Publisher: PEARSON

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Textbook Question

Chapter 2.3, Problem 4BSC

Normal Distribution When it refers to a normal distribution, does the term “normal” have the same meaning as in ordinary language? What criterion can be used to determine whether the data depicted in a histogram have a distribution that is approximately a normal distribution? Is this criterion totally objective, or does it involve subjective judgment?

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 2.3, Problem 3BSC

Chapter 2.3, Problem 5BSC

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Chapter 2 Solutions

Essentials of Statistics, Books a la Carte Edition (5th Edition)

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Solution Summary: The author explains whether the word normal in normal distribution have the same meaning as in ordinary language or not in statistics.

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