Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that focuses on applications.
The text features a unique approach accentuated by an engaging writing style that explains difficult concepts clearly. By presenting ideas in the context of real-world data featured in plentiful examples, the book motivates students to understand fundamental concepts through practical examples found in industry and research.
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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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Book Description McGraw-Hill Science/Engineering/Math, 2009. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 1 Sampling and Descriptive Statistics 2 Summarizing Bivariate Data 3 Probability 4 Commonly Used Distributions 5 Point and Interval Estimation for a Single Sample 6 Hypothesis Tests for a Single Sample 7 Inferences for Two Samples 8 Inference in Linear Models 9 Factorial Experiments 10 Statistical Quality Control. Bookseller Inventory # ABE_book_new_0077289315
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