Probability & Statistics for Engineers & Scientists - Hardcover

Walpole, Ronald; Myers, Raymond; Myers, Sharon; Ye, Keying

Hardcover

ISBN 10: 0134115856 ISBN 13: 9780134115856

Publisher: Pearson, 2016

Synopsis

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.

 

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

 

This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.

 

Also available with MyStatLab

MyStatLab™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

If you would like to purchase both the physical text and MyLab & Mastering, search for:

 

0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e

 

Package consists of:   

0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update

0321847997 / 9780321847997 My StatLab Glue-in Access Card

032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages

About this title

From the Back Cover

This classic book provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. It assumes readers have a background in calculus, and offers a unique balance of theory and methodology. Chapter topics cover an introduction to statistics and data analysis, probability, random variables and probability distributions, mathematical expectation, some discrete probability distributions, some continuous probability distributions, functions of random variables, fundamental sampling distributions and data descriptions, one- and two-sample estimation problems, one- and two-sample tests of hypotheses, simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, and statistical quality control. For individuals trying to apply statistical concepts to real-life, and analyze and interpret data.

About the Author

Educated at Harvard and Columbia, John McMurry has taught approximately 17,000 students in general and organic chemistry over a 30-year period. A Professor of Chemistry at Cornell University since 1980, Dr. McMurry previously spent 13 years on the faculty at the University of California at Santa Cruz. He has received numerous awards, including the Alfred P. Sloan Fellowship (1969–71), the National Institute of Health Career Development Award (1975–80), the Alexander von Humboldt Senior Scientist Award (1986–87), and the Max Planck Research Award (1991).

Professor of Chemistry Robert C. Fay has been teaching general and inorganic chemistry at Cornell University since 1962. Known for his clear, well-organized lectures, Dr. Fay was the 1980 recipient of the Clark Distinguished Teaching Award. He has also taught as a visiting professor at Harvard University and the University of Bologna, Italy. He has been an NSF Science Faculty Fellow at the University of East Anglia and the University of Sussex, England, and a NATO/Heineman Senior Fellow at Oxford University.

Edition details

• Publisher: Pearson
• Publication date: 2016
• ISBN 10: 0134115856
• ISBN 13: 9780134115856
• Binding: Hardcover
• Language: English
• Number of pages: 816