18th Edition

ISBN: 9781260239478

Author: Lind

Publisher: RENT MCG

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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

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a…

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Textbook Question

Chapter 7, Problem 8E

List the major characteristics of a normal probability distribution.

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 7E

Chapter 7, Problem 9E

Chapter 7 Solutions

STATISTICAL TECHNIQUES IN BUS.+ECON.

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List the major characteristics of a normal probability distribution.

Solution Summary: The author explains the major characteristics of a normal probability distribution. The shape of the distribution is bell-shaped, the mean, median, and mode are equal and they are located in the center.

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