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.

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  • 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
  • Citation

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