Probability and Statistical Inference – Robert V. Hogg, Elliot A. Tanis – 7th Edition


In this introductory text, it applies to the mathematics of probability and statistics, the existence of variation in almost all processes, and how the study of probability and statistics helps us to understand this variability.
Designed for students with prior knowledge of computation, it reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.

Table of Contents

Chapter 1: Probability
Chapter 2: Discrete Distributions
Chapter 3: Continuous Distributions
Chapter 4: Multivariate Distributions
Chapter 5: The Normal Distribution
Chapter 6: Estimation
Chapter 7: Bayesian Methods
Chapter 8: Tests of Statistical Hypotheses
Chapter 9: Theory of Statistical Inference
Chapter 10: Quality Improvement Through Statistical Methods

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