Probability and Statistical Inference – Robert V. Hogg, Elliot A. Tanis – 8th Edition


Written by two leading statisticians, this applied introduction to the mathematics of probability and emphasizes the existence of variation in almost every , and how the study of helps us understand this variation. Designed for with a background in , this continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

Table of Contents

1. Probability
2. Discrete Distributions
3. Continuous Distributions
4. Bivariate Distributions
5. Distributions of Functions of Random Variables
6. Estimation
7. Tests of Statistical Hypotheses
8. Nonparametric Methods
9. Bayesian Methods
10. Some Theory
11. Quality Improvement Through Statistical Methods

A. Review of Selected Mathematical Techniques
A.1 Algebra of Sets
A.2 Mathematical Tools for the Hypergeometric Distribution
A.3 Limits
A.4 Infinite Series
A.5 Integration
A.6 Multivariate Calculus
B. References
C. Tables
D. Answers to Odd-Numbered Exercises
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