Description
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.
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Devore (California Polytechnic State U.) introduces probability models and statistical methods most likely to be encountered and used by students and professionals in engineering and the natural sciences. Students should have completed one semester or two quarters of differential and integral calculus; no matrix algebra is required. Changes from the 2008 edition include a glossary of symbols and abbreviations, many new examples and exercises, and a fully rewritten section on P-values. Among the topics are discrete random variables and probability distributions, joint probability distributions and random samples, tests of hypotheses based on a single sample, simple linear regression and correlation, and distribution-free procedures. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com)
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