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Principles of Statistics for Engineers and Scientists by McGraw-Hill Science/Engineering/Math

On 2009-12-23 tech book guy, wrote: Usually I am not a big fan of newer textbooks as they tend to be too heavy, too colorful, and too watered-down (at
least compared to more classical treatments). Statistics is one area that really has its share of 1000 page texts
that are poor learning tools. However, to my surprise, this recent text is very well-written, concise, covers just
the right amount of material for a single semester, and covers the topics I feel are most important for undergrad
engineering majors. The short section on propagation of errors is great. This book also has a nice annotated biography.
I docked the book one star because the small book by Chatfield (again to my surprise referenced by Navidi) is still the
one book I think sets the bar for how applied stats books should be written.

In summary, finally a recent text that may actually be worth the steep 100 dollar price tag.

. And summed up by saying nice modern stats text. Currently Principles of Statistics for Engineers and Scientists has an overall rating of 8 over 10.

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McGraw-Hill Science/Engineering/Math claimed Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi´s Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that focuses on applications. The text features a unique approach accentuated by an engaging writing style that explains difficult concepts clearly. By presenting ideas in the context of real-world data featured in plentiful examples, the book motivates students to understand fundamental concepts through practical examples found in industry and research.

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