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Solutions Manual for Probability and Statistical Inference 9th Edition By Robert Hogg Elliot Tanis Dale Zimmerman, All Chapters, 100% Original Verified, Already Grade A+

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Solutions Manual for Probability and Statistical Inference 9th Edition By Robert Hogg Elliot Tanis Dale Zimmerman, All Chapters, 100% Original Verified, Already Grade A+

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,PROBABILITY AND STATISTICAL INFERENCE
Ninth Edition




Robert V. Hogg

Elliot A. Tanis

Dale L. Zimmerman




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Copyright  c 2015, 2010, 2006 by Pearson Education, Inc. All rights reserved. Manufactured
in the United States of America. This publication is protected by Copyright, and permission
should be obtained from the publisher prior to any prohibited reproduction, storage in a
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Library of Congress Cataloging-in-Publication Data
Hogg, Robert V.
Probability and Statistical Inference/
Robert V. Hogg, Elliot A. Tanis, Dale Zimmerman. – 9th ed.
p. cm.
ISBN 978-0-321-92327-1
1. Mathematical statistics. I. Hogg, Robert V., II. Tanis, Elliot A. III. Title.
QA276.H59 2013
519.5–dc23
2011034906




10 9 8 7 6 5 4 3 2 1 EBM 17 16 15 14 13


ISBN-10: 0-321-92327-8
www.pearsonhighered.com ISBN-13: 978-0-321-92327-1

, Contents
Preface v
5 Distributions of Functions
of Random Variables 163
Prologue vii
5.1 Functions of One Random Variable 163
1 Probability 1 5.2 Transformations of Two Random
Variables 171
1.1 Properties of Probability 1
5.3 Several Random Variables 180
1.2 Methods of Enumeration 11
5.4 The Moment-Generating Function
1.3 Conditional Probability 20 Technique 187
1.4 Independent Events 29 5.5 Random Functions Associated with Normal
1.5 Bayes’ Theorem 35 Distributions 192
5.6 The Central Limit Theorem 200

2 Discrete Distributions 41 5.7 Approximations for Discrete
Distributions 206
2.1 Random Variables of the Discrete Type 41 5.8 Chebyshev’s Inequality and Convergence
2.2 Mathematical Expectation 49 in Probability 213
2.3 Special Mathematical Expectations 56 5.9 Limiting Moment-Generating Functions 217
2.4 The Binomial Distribution 65
2.5
2.6
The Negative Binomial Distribution 74
The Poisson Distribution 79
6 Point Estimation 225

6.1 Descriptive Statistics 225
6.2 Exploratory Data Analysis 238
3 Continuous Distributions 87
6.3 Order Statistics 248
3.1 Random Variables of the Continuous 6.4 Maximum Likelihood Estimation 256
Type 87
6.5 A Simple Regression Problem 267
3.2 The Exponential, Gamma, and Chi-Square
Distributions 95 6.6* Asymptotic Distributions of Maximum
Likelihood Estimators 275
3.3 The Normal Distribution 105
6.7 Sufficient Statistics 280
3.4* Additional Models 114
6.8 Bayesian Estimation 288
6.9* More Bayesian Concepts 294
4 Bivariate Distributions 125

4.1 Bivariate Distributions of the Discrete
Type 125 7 Interval Estimation 301

4.2 The Correlation Coefficient 134 7.1 Confidence Intervals for Means 301
4.3 Conditional Distributions 140 7.2 Confidence Intervals for the Difference
4.4 Bivariate Distributions of the Continuous of Two Means 308
Type 146 7.3 Confidence Intervals for Proportions 318
4.5 The Bivariate Normal Distribution 155 7.4 Sample Size 324
iii
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