Probability and Statistics for Engineering and the Sciences University of Connecticut

by Jay L. Devore

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. This proven, accurate book and its excellent examples evidence 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. Through the use of lively and realistic examples, students go beyond simply learning about statistics-they actually put the methods to use.

Kindle textbooks are functionally equivalent to the print textbook. In some cases, individual items such as ancillary images or multimedia have been removed for digital delivery due to rights restrictions.

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

522 pages, Unknown Binding

First published January 1, 1982

Reviews

[Andrew Obrigewitsch · Rating 4 out of 5]

This is a decent book on Probability and Statistics.

[Arun Mahendrakar · Rating 4 out of 5]

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 · Rating 3 out of 5]

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.

[Ira Burton · Rating 3 out of 5]

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 · Rating 3 out of 5]

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

[Mackjack]

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