Probability Statistics for Engineers Scientists – Ronald E. Walpole – 9th Edition


In elaborating the ninth edition of this book, the main interest of the authors was not only to include new material, but to provide clarity and better exposure, as well as to preserve the balance between theory and applications.

This classic text provides a rigorous introduction to probability theory and basic statistical inference, with a unique balance between theory and methodology. Interesting and relevant applications with real data from current studies, showing how concepts and methods can be used to solve problems in the field. This review focuses on greater clarity and deeper understanding.

It is intended for students who have completed the equivalent of one semester of Differential and Integral Calculus. Linear algebra is useful but not indispensable.

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  • 1. Introduction to statistics and data analysis
    2. Probability
    3. Random Variables and Probability Distributions
    4. Mathematical Hope
    5. Some Discrete Probability Distributions
    6. Some continuous probability distributions
    7. Random Variable Functions
    8. Key sampling distributions and data descriptions
    9. One and two sample estimation problems
    10. One and two sample hypothesis tests
    11. Simple linear regression and correlation
    12. Multiple linear regression and certain nonlinear regression models
    13. One-factor experiments: general
    14. Factorial experiments (two or more factors)
    15. Factories 2k and fractions
    16. Non-parametric statistics
    17. Statistical quality control
    18. Bayesian statistics
  • Citation

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