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The Probability Lifesaver

All the Tools You Need to Understand Chance

Steven J. Miller

$180

Hardback

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English
Princeton University Press
24 July 2017
The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, t

By:  
Imprint:   Princeton University Press
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 51mm
Weight:   1.616kg
ISBN:   9780691149547
ISBN 10:   0691149542
Series:   Princeton Lifesaver Study Guides
Pages:   752
Publication Date:  
Recommended Age:   From 16 to 99 years
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Steven J. Miller is associate professor of mathematics at Williams College. He is the coauthor of An Invitation to Modern Number Theory (Princeton) and The Mathematics of Encryption: An Elementary Introduction and the editor of Benford's Law: Theory and Applications (Princeton).

Reviews for The Probability Lifesaver: All the Tools You Need to Understand Chance

Steven J. Miller's The Probability Lifesaver presents, as its subtitle claims, 'all the tools you need to understand chance' in a clear, straightforward manner. . . . For the students that have a good understanding of Calculus, the combination of the probability discussions along with the calculus behind these topics is very beneficial.--MAA Reviews I see a tremendous value in this fun, engaging, and informal book. It has a conversational tone, which invites students to engage the material and concepts. It is as if Miller is there, lecturing on the topics, helping students to think things through for themselves. --John Imbrie, University of Virginia The Probability Lifesaver helped me build a foundation of probability theory and an appreciation for its nuances through engaging examples and easy-to-follow explanations. This well-written and extensive book will serve as your guide to probability and reward you for the time you give it. --Jaclyn Porfilio, Williams '15 The Probability Lifesaver motivates introductory probability theory with concrete applications in an approachable and engaging manner. From computing the probability of various poker hands to defining sigma-algebras, it strikes a balance between applied computation and mathematical theory that makes it easy to follow while still being mathematically satisfying. --David Burt, Williams College '17 In The Probability Lifesaver, Miller does more than simply present the theoretical framework of probability. He takes complex concepts and describes them in understandable language, provides realistic applications that highlight the far-extending reaches of probability, and engages the problem-solving intuitions that lie at the heart of mathematics. Lastly, and most importantly, I am reminded throughout this textbook of why I chose to study mathematics: because it's fun! --Michael Stone, Williams College '16 This fun book gives readers the feeling that they are having a live conversation with the author. A wonderful resource for students and teachers alike, The Probability Lifesaver contains clear and detailed explanations, problems with solutions on every topic, and extremely helpful background material. --Iddo Ben-Ari, University of Connecticut The Probability Lifesaver creates a wonderful mathematical experience. It combines important theories with fun problems, giving a new and creative perspective on probability. This book helped me understand the big questions behind the mathematics of probability: why the complex theories I was learning are true, where they come from, and what are their applications. This approach is a welcome complement to other heavy theoretical books, and was detailed and expansive enough to serve as the main textbook for our class. --Alexandre Gueganic, Williams College '19 This is a superb book by a gifted writer and mathematician. Miller's amiable, intuitive writing style weaves stories about probability into the narrative in a unique fashion. --Larry Leemis, College of William & Mary Filled with many interesting and contemporary examples, The Probability Lifesaver would have undoubtedly helped me while I was taking statistics. Miller offers careful, detailed explanations in simple terms that are easy to understand. --James Coyle, former student at Rutgers University The Probability Lifesaver contains a lot of explanations and examples and provides step-by-step instructions to how definitions and ideas are formulated. I appreciated that it tries to provide multiple solutions to each problem. Interesting, informative, approachable, and comprehensive, this book was easy to read and would make a good supplement for a first probability course at the undergraduate level. --Jingchen Hu, Vassar College A balanced mix of theoretical and practical problem-solving approaches in probability--suited for personal study as well as textbook reading in and out of the classroom. After college, while working, I took a probability class remotely and with this book, I was able to follow easily despite being without a TA or easy access to the professor. From research examples to interview questions, it has saved my life more than once. --Dan Zhao, Williams College ' 14 I recommend the book to everyone who is studying and fascinated by statistics.---Singalakha Menziwa, Mathemafrica The breadth of the book's coverage and its clear, informal tone in addressing highly formal problems remind one of a friendly professor offering unlimited office hours, and the book will be a highly accessible supplement for students working through another, more conventional text. . . . [This is] a volume that deserves to be widely known in educational circles and will likely find its way to the shelves of practicing statisticians who wish to probe below the surface of fundamental theorems that they have learned by rote.---H. Van Dyke Parunak, Computing Reviews


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