The cover was printed by RR Donnelley. This is an introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. These individuals play a significant role in designing and developing new products and manufacturing systems and processes, and they also improve existing systems. Statistical methods are an important tool in these activities because they provide the engineer with both descriptive and analytical methods for dealing with the variability in observed data. Although many of the methods we present are fundamental to statistical analysis in other disciplines, such as business and management, the life sciences, and the social sciences, we have elected to focus on an engineering-oriented audience.
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You are currently using the site but have requested a page in the site. Would you like to change to the site? Douglas C. Montgomery , George C. The text provides a practical approach oriented to engineering as well as chemical and physical sciences.
Students learn how the material will be relevant in their careers through the integration throughout of unique problem sets that reflect realistic applications and situations. View Instructor Companion Site. Contact your Rep for all inquiries. View Student Companion Site. Undetected location. NO YES. Selected type: E-Book. Added to Your Shopping Cart.
This is a dummy description. Student View Student Companion Site. About the Author Douglas C. He has authored and coauthored many technical papers as well as twelve other books. New To This Edition Because computer-intensive methods are so important in the modern use of statistics , material on the bootstrap and its use in constructing confidence intervals has been added Increased emphasis on the use of P-value in hypothesis testing, throughout the text Explanations throughout the book have been refined to clarify the concepts, making them easier for students to understand.
The introductory chapter on hypothesis testing now includes coverage of equivalence testing , a technique widely used in the biopharmaceutical industry, but which also has widespread applications in other areas. Combining P-values when performing multiple tests is included. Many new examples have been added and the homework exercises have been almost entirely revised, covering only SI units.
Features Real Engineering Applications: Treatment of all topics is oriented towards real engineering applications. In the probability chapters, the authors do not emphasize counting methods or artificial applications such as gambling. Real Data, Real Engineering Situations: Examples and exercises throughout the text use real data and real engineering situations. This motivates students to learn new concepts and gives them a taste of practical engineering experience.
Probability: Coverage of probability is lively and interesting. It is complete, but carefully presented at an appropriate level of depth for the course Regression Modeling, DOE, and SQC: Uniquely thorough amount of coverage of regression modeling, design of engineering experiments, and statistical process control makes the book useful as a reference for many important topics.
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Applied Statistics and Probability for Engineers, 6th Edition International Student Version
Applied Statistics and Probability for Engineers, 6th Edition