Put statistical theories into practice with Probability and Statistics for Engineering and the Sciences, 9th Edition. Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific ...Read MorePut statistical theories into practice with Probability and Statistics for Engineering and the Sciences, 9th Edition. Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific workplaces. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without exhaustive mathematical development and derivations. Many examples, practice problems, sample tests, and simulations based on real data and issues help you build a more intuitive connection to the material. A proven and accurate book, Probability and Statistics for Engineering and the Sciences, 9th Edition also includes graphics and screen shots from SAS[registered], MINITAB[registered], and Java[trademark] Applets to give you a solid perspective of statistics in action.Read Less
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New. This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 8e, evidences Jay Devore`s reputation as an outstanding author and leader in the academic community. Devore emphasizes concepts, models, methodology, and applications as opposed to rigorous mathematical development and derivations. Aided by his lively and realistic examples, students go beyond simply learning about statistics-they also learn how to put statistical methods to use. 1. Overview And Descriptive Statistics. 2. Probability. 3. Discrete Random Variables And Probability. 4. Continuous Random Variables And Probability Distributions. 5. Joint Probability Distributions And Random Samples. 6. Point Estimation. 7. Statistical Intervals Based On A Single Sample. 8. Tests Of Hypotheses Based On A Single Sample. 9. Inferences Based On Two Samples. 10. The Analysis Of Variance. 11. Multifactor Analysis Of Variance. 12. Simple Linear Regression And Correlation. 13. Nonlinear And Multiple Regression. 14. Goodness-Of-Fit Tests And Categorical Data Analysis. 15. Distribution-Free Procedures 16. Quality Control Methods. Printed Pages: 768..
Good. Custom edition for University of Michigan. Loose leaf edition, binder not included. Book is in overall good condition! ! Cover shows some edge wear and corners are lightly worn. Pages have a minimal to moderate amount of markings. FAST SHIPPING W/USPS TRACKING! ! !
Fair. Good copy for reading, may have heavy page wear with writing textual notes highlighting or be an heavily used ex library copy with library markings, stickers or stamps. Dust jacket or accessories may not be included.
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