Probability and Statistical Inference, Global Edition, 9th Edition

Robert V. Hogg all

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Probability and Statistical Inference, Global Edition, 9th Edition

By Robert V. Hogg, Elliot A. Tanis
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Robert V. Hogg all
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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 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