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In this calculus-based text, theory is developed to a practical degree around models used in real-world applications. Proofs of theorems and "tricky" probability calculations are minimized. Computing and simulation are introduced to make more difficult problems accessible (although the material does not depend on the computer for continuity).
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About the Author:
Richard L. Scheaffer, Professor Emeritus of Statistics, University of Florida, received his Ph.D. in statistics from Florida State University. Accompanying a career of teaching, research and administration, Dr. Scheaffer has led efforts on the improvement of statistics education throughout the school and college curriculum. Co-author of five textbooks, he was one of the developers of the Quantitative Literacy Project that formed the basis of the data analysis strand in the curriculum standards of the National Council of Teachers of Mathematics. He also led the task force that developed the AP Statistics Program, for which he served as Chief Faculty Consultant. Dr. Scheaffer is a Fellow and past president of the American Statistical Association, a past chair of the Conference Board of the Mathematical Sciences, and an advisor on numerous statistics education projects.
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- PublisherDuxbury Press
- Publication date1994
- ISBN 10 0534237908
- ISBN 13 9780534237905
- BindingHardcover
- Edition number2
- Number of pages400
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Introduction to Probability and Its Applications
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Introduction to Probability and Its Applications (Statistics)
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Introduction to Probability and Its Applications
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Book Description Hardcover. Condition: new. Hardcover. In this calculus-based text, theory is developed to a practical degree around models used in real-world applications. Proofs of theorems and "tricky" probability calculations are minimized. Computing and simulation are introduced to make more difficult problems accessible (although the material does not depend on the computer for continuity). This book introduces readers to the ways probability is applied to practical problems in science, business, and engineering. The author includes interesting examples that show applications of probability theory in all these fields. The emphasis throughout is on modeling and interpretation of data rather than of abstract mathematics, stressing uses of the computer for analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780534237905
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