Probability and Statistical Inference, 10th edition

Published by Pearson (July 14, 2021) © 2020

  • Robert V. Hogg University of Iowa
  • Elliot A. Tanis Hope College
  • Dale L. Zimmerman

Purchasing Instructions

This form contains two groups of radio buttons, one for Exam Pack purchasing options, and one for standard purchasing options. Only one option can be chosen for purchase. Any option that is selected will deselect any previously selected purchase option.

eTextbook on Pearson+

ISBN-13: 9780137538461 (2021 update)

Unlock extra study tools for other course help

eTextbook + Study & Exam Prep on Pearson+

ISBN-13: 9780137538461 (2021 update)

eTextbook rental includes

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards
14-day refund guarantee

eTextbook on Pearson+

ISBN-13: 9780137538461 (2021 update)

eTextbook rental includes

  • Instant access to eTextbook
  • Search, highlight, and notes
  • Create flashcards

Advances in computing technology, particularly in science and business, have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Edition is an authoritative introduction to an in-demand field. It emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. This applied overview of probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. A good calculus background is needed, but no previous study of probability or statistics is required. It is designed for a 2-semester course, but also can be adapted for a 1-semester course. 

1. Probability

  • 1.1 Properties of Probability
  • 1.2 Methods of Enumeration
  • 1.3 Conditional Probability
  • 1.4 Independent Events
  • 1.5 Bayes' Theorem

2. Discrete Distributions

  • 2.1 Random Variables of the Discrete Type
  • 2.2 Mathematical Expectation
  • 2.3 Special Mathematical Expectations
  • 2.4 The Binomial Distribution
  • 2.5 The Hypergeometric Distribution
  • 2.6 The Negative Binomial Distribution
  • 2.7 The Poisson Distribution

3. Continuous Distributions

  • 3.1 Random Variables of the Continuous Type
  • 3.2 The Exponential, Gamma, and Chi-Square Distributions
  • 3.3 The Normal Distribution
  • 3.4 Additional Models

4. Bivariate Distributions

  • 4.1 Bivariate Distributions of the Discrete Type
  • 4.2 The Correlation Coefficient
  • 4.3 Conditional Distributions
  • 4.4 Bivariate Distributions of the Continuous Type
  • 4.5 The Bivariate Normal Distribution

5. Distributions of Functions of Random Variables

This publication contains markup to enable structural navigation and compatibility with assistive technologies. Images in the publication are fully described. The publication supports text reflow, is screen-reader friendly, and contains no content hazards known to cause adverse physical reactions.

Need help? Get in touch