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Statistics for Engineers and Scientists

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ISBN-10: 0073401331

ISBN-13: 9780073401331

Edition: 4th 2015

Authors: William Navidi

List price: $129.99
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Description:

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.McGraw-Hill is also proud to offer ConnectPlus powered by Maple with the fourth edition of Navidi's, Statistics for Engineers and Scientists. This innovative and powerful new system helps your students learn more easily and gives you the ability to customize your homework problems and assign them simply and easily to your students. Problems are graded automatically, and the results are recorded immediately. Natural Math Notation allows for answer entry in many different forms, and the system allows for easy customization and authoring of exercises by the instructor.Navidi's Statistics for Engineers and Scientists, fourth edition, includes the power of McGraw-Hill’s LearnSmart--a proven adaptive learning program that helps students learn faster, study more efficiently, and retain more knowledge for greater success. LearnSmart is included in ConnectPlus powered by Maple.
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Book details

List price: $129.99
Edition: 4th
Copyright year: 2015
Publisher: McGraw-Hill Education
Publication date: 2/1/2014
Binding: Hardcover
Pages: 928
Size: 7.60" wide x 9.20" long x 1.90" tall
Weight: 3.652
Language: English

William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.