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Resumen del libro
| Publisher Summary 1 |
| This text for a one-semester, calculus-based probability course focuses on the utility of probability in solving real-world problems. It can be used with students who have a solid background in integral calculus. Discussion of theory is grounded in real-world problems; proofs of theorems and tricky probability calculations are kept to a minimum. Presentation progresses from routine to more difficult problems to suit students of different backgrounds. Students going on to more advanced courses in probability and statistics will gain a solid background in fundamental concepts and theory, while students who must apply probability to their courses in engineering and the sciences will develop a working knowledge of the subject and an appreciation of its practical power. Numerous applications use real data in engineering and the life, social, and physical sciences. This third edition adds new and updated examples and problems, especially from the biological sciences, and gives more guidance on when to use specific methods. Applets for visualizing concepts are available on a companion web site. Scheaffer is professor emeritus of statistics, and Young is professor of statistics, at the University of Florida. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com) |
| Publisher Summary 2 |
| This text focuses on the utility of probability in solving real-world problems for students in a one-semester calculus-based probability course. Theory is developed to a practical degree and grounded in discussion of its practical uses in solving real-world problems. Numerous applications using up-to-date real data in engineering and the life, social, and physical sciences illustrate and motivate the many ways probability affects our lives. The text's accessible presentation carefully progresses from routine to more difficult problems to suit students of different backgrounds, and carefully explains how and where to apply methods. Students going on to more advanced courses in probability and statistics will gain a solid background in fundamental concepts and theory, while students who must apply probability to their courses engineering and the sciences will develop a working knowledge of the subject and appreciation of its practical power. |
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