2nd Edition

ISBN: 9780321978271

Author: Robert Gould, Colleen N. Ryan

Publisher: PEARSON

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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 6, Problem 43SE

Inverse Normal, Standard Assume a standard Normal distribution. Draw a separate, well-labeled Normal curve for each part.

a. Find the z -score that gives a left area of 0.7123.

b. Find the z -score that gives a left area of 0.1587.

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 42SE

Chapter 6, Problem 44SE

Chapter 6 Solutions

Introductory Statistics (2nd Edition)

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Inverse Normal, Standard Assume a standard Normal distribution . Draw a separate, well-labeled Normal curve for each part. a. Find the z -score that gives a left area of 0.7123. b. Find the z -score that gives a left area of 0.1587.

Solution Summary: The author determines the approximate z-scores that have the following 'left area': a. the distribution in this case is standard normal distribution.

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