5th Edition

ISBN: 9781323741559

Author: Tannenbaum

Publisher: PEARSON C

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Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could co…

Normal Distribution

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Textbook Question

Chapter 17, Problem 26E

In a normal distribution with standard deviation σ = 20 , the data value x = 10 has a z-value of z = − 2 . Find the mean μ .

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 17, Problem 25E

Chapter 17, Problem 27E

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Chapter 17 Solutions

EXCURSIONS IN MODERN MATH

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In a normal distribution with standard deviation σ = 20 , the data value x = 10 has a z -value of z = − 2 . Find the mean μ .

Solution Summary: The author explains the formula used to calculate the mean mu of the given normal distribution.

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Chapter 17 Solutions