6th Edition

ISBN: 9780134434681

Author: Tom Pirnot

Publisher: PEARSON

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When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calcul…

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Textbook Question

Chapter 14.4, Problem 13E

Use the following graph of the standard normal distribution and Table 14.19 to do Exercises 13 and 14

Chapter 14.4, Problem 13E, Use the following graph of the standard normal distribution and Table 14.19 to do Exercises 13 and

Find the areas indicated by the given z-scores:

a. between 0 and 1.52

b. between 0 and 2.63

c. between 1.52 and 2.63

d. above 2.63

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 14.4, Problem 12E

Chapter 14.4, Problem 14E

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Chapter 14 Solutions

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Use the following graph of the standard normal distribution and Table 14.19 to do Exercises 13 and 14 Find the areas indicated by the given z -scores: a. between 0 and 1.52 b. between 0 and 2.63 c. between 1.52 and 2.63 d. above 2.63

Solution Summary: The author explains that the normal curve is symmetric with respect to its mean. The z-score from Table 14.19 for standard normal distribution is 0.4357.

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Chapter 14 Solutions