Statistics: The Art and Science of Learning from Data (4th Edition)

4th Edition

ISBN: 9780321997838

Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg

Publisher: PEARSON

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Textbook Question

Chapter 10.2, Problem 33PB

Normal assumption The methods of this section make the assumption of a normal population distribution. Why do you think this is more relevant for small samples than for large samples? (Hint: What shape does the sampling distribution of x ¯ 1 − x ¯ 2 have for large samples, regardless of the actual shape of the population distributions?)

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 10.2, Problem 32PB

Chapter 10.2, Problem 34PB

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Chapter 10 Solutions

Statistics: The Art and Science of Learning from Data (4th Edition)

Ch. 10.1 - Unemployment rate According to the Bureau of Labor...Ch. 10.1 - Prob. 2PB Ch. 10.1 - Binge drinking The PACE project at the University...Ch. 10.1 - Smoking and lung obstruction A National Center for...Ch. 10.1 - Do you believe in miracles? Let p1 and p2 denote...Ch. 10.1 - Aspirin and heart attacks in Sweden A Swedish...Ch. 10.1 - Swedish study test Refer to the previous exercise....Ch. 10.1 - Significance test for aspirin and cancer deaths...Ch. 10.1 - Prob. 9PB Ch. 10.1 - Comparing marketing commercials Two TV commercials...

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