Package: Loose Leaf for Statistics for Engineers and Scientists with 1 Semester Connect Access Card

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9781259290558: Package: Loose Leaf for Statistics for Engineers and Scientists with 1 Semester Connect Access Card

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 proud to offer Connect with the fourth edition of Navidi's, "Statistics for Engineers and Scientists." This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance - by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Navidi's" Statistics for Engineers and Scientists," fourth edition, includes the power of McGraw-Hill's "LearnSmart"--a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.

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About the Author:

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.

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William Navidi Prof.
Published by McGraw-Hill Education (2013)
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Navidi, William
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