Probability and Statistics for Engineering and the Sciences

by Jay L. Devore

Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available.

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

768 pages, Hardcover

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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