Probability and Statistical Inference, Global Edition eBook, 9th Edition

Robert V. Hogg all

Probability and Statistical Inference, Global Edition eBook, 9th Edition

By Robert V. Hogg, Elliot A. Tanis
In stock
Add to cart
Please note This item can only be purchased by people residing in Australia
Robert V. Hogg all
Published Date

For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required.

Written by three veteran statisticians, this applied introduction to probability and statistics emphasises the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

The full text downloaded to your computer

With eBooks you can:

  • search for key concepts, words and phrases
  • make highlights and notes as you study
  • share your notes with friends

eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.

Upon purchase, you'll gain instant access to this eBook.

Time limit

The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.



  • The new organisation presents information in a logical, easy-to-grasp sequence, incorporating the latest trends and scholarship in the field of probability and statistical inference. Balanced coverage of probability and statistics includes:
    • Five chapters that focus on probability and probability distributions, including discrete data, order statistics, multivariate distributions, and normal distribution.
    • The text’s second half emphasises statistics and statistical inference, including estimation, Bayesian estimation, tests of statistical hypotheses, and methods for quality improvement.
  • The student-friendly approach reinforces basic mathematical concepts, requiring just a calculus background.
  • Application-oriented content features real-world scenarios in the exercises and examples, with applications in the areas of biology, economics, health, sociology, and sports.
    • Integration of computer-based data and applications showcases the increased use of data and computers for calculating probabilities, analysing data, solving problems, and conducting simulations.
  • Historical vignettes at the end of each chapter outline the origin of the greatest accomplishments in the field of statistics, adding enrichment to the course.



Table of contents
  • 1. Probability
  • 2. Discrete Distributions
  • 3. Continuous Distributions
  • 4. Bivariate Distributions
  • 5. Distributions of Functions of Random Variables
  • 6. Point Estimation
  • 7. Interval Estimation
  • 8. Tests of Statistical Hypotheses
  • 9. More Tests
  • Epilogue
  • A. References
  • B. Tables
  • C. Answers to Odd-Numbered Exercises
  • D. Review of Selected Mathematical Techniques
  • Index