Probability and Statistics for Engineering and the Sciences

by Jay L. Devore

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, Probability and Statistics for Engineering and the Sciences emphasizes concepts, models, methodology, and applications that facilitate your understanding.

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, Probability and Statistics for Engineering and the Sciences evidences Jay Devore's reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics; they also learn how to put statistical methods to use.

Genres: Mathematics, Textbooks, Reference, Engineering, Science, Nonfiction, School

768 pages, Hardcover

First published January 1, 1982

Reviews

[Andrew Obrigewitsch]

This is a decent book on Probability and Statistics.

[Arun Mahendrakar]

This is a big book covering many topics like Probability, distributions, ANOVA and correlation. There are quite a few problems to solve that will help you strengthen your learning. But this book lacks explaining the concept. The author directly dives into the formula and it's usage. Detailing how to intuitively think about say, regression, will make this book really worthwhile.

[Michael Buford]

I dislike the format of the book. Jaynes "Probability: The Language of Science." and Savage's "The Foundations of Statistics." seem like better options if you're wanting to learn Bayesian Probability and Statistics.

[Sreej]

Dense and not as intuitive as it could be.

[Ira Burton]

A must read for people trying to make heads or tales of Statistics. The Probability section is a bit weak, but other than that a great text.

[Stephanie]

The chapters are well-written, but the problems are often rudimentary for the material presented.

[Mackjack]

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