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Probability: For the Enthusiastic Beginner, by David J. Morin
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This book is written for high school and college students learning about probability for the first time. It will appeal to the reader who has a healthy level of enthusiasm for understanding how and why the various results of probability come about. All of the standard introductory topics in probability are covered: combinatorics, the rules of probability, Bayes’ theorem, expectation value, variance, probability density, common distributions, the law of large numbers, the central limit theorem, correlation, and regression. Calculus is not a prerequisite, although a few of the problems do involve calculus. These are marked clearly. The book features 150 worked-out problems in the form of examples in the text and solved problems at the end of each chapter. These problems, along with the discussions in the text, will be a valuable resource in any introductory probability course, either as the main text or as a helpful supplement.
- Sales Rank: #21600 in Books
- Published on: 2016-04-03
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x .84" w x 6.69" l, 1.30 pounds
- Binding: Paperback
- 372 pages
About the Author
David Morin is a Lecturer and the Associate Director of Undergraduate Studies in the Physics Department at Harvard University. He received his A.B. in mathematics from Brown University and his Ph.D. in theoretical particle physics from Harvard University. He is the author of five books, including Introduction to Classical Mechanics (Cambridge University Press, 2008), Electricity and Magnetism (Cambridge University Press, co-author, 2013), and Special Relativity: For the Enthusiastic Beginner (2017). When not writing textbooks, thinking of physics limericks, or conjuring up new problems whose answers involve e or the golden ratio, he can be found running along the Charles River or hiking in the White Mountains of New Hampshire. Resources for his books, along with other educational material, can be found on his Harvard webpage.
Most helpful customer reviews
69 of 71 people found the following review helpful.
This book is awesome
By Joanie Xie
This text is AMAZING!
This Harvard prof. was able to make probability fun for students, yet presented the material in a manner rigorous enough for any college/high school course.
I am familiar with over a dozen probability textbooks and they all present the material in the same way with the same tired arguments. This author must have thought long and hard about the best ways to present every idea. I am posting two figures that show just how much he's thought about teaching the subject: (1) I smiled when I saw this figure. After seeing this, I don't think students will mix-up permutations quite as much. (2) This figure shows how the Binomial, Gaussian, and Poisson distributions are related to one another via limits. This is difficult to teach, but this simple figures sums it up beautifully!
Looks like he's also spent quite a bit of time developing good exercises and problems in all chapters. More than enough for a single course.
The text is totally approachable, unpretentious, and it’s a fun read.
I’m thrilled I chose this text. I strongly recommend it to students and instructors alike.
10 of 10 people found the following review helpful.
For those interested in Probability this book guarantees that what you learn will always be useful and relevant.
By J. M. Ross
If you have ever struggled with Combinatorics in probability books, the first chapter of this book will be a godsend.
The first chapter is 56 pages long. However, when it comes to teaching and learning probability, this is the most fruitful 56 pages that I have ever seen. If you have struggled with Combinatorics, like I have, reading Chapter 1 of this book should clear much of the fog. The author doesn't assume that the reader has relevant experience in Combinatorics, which he defines as "The study of how to count things."
The author avoids the irritating phrase "it can be shown that." Rather he shows you how to "count things" as he develops the relationships used to "count things." You may have encountered the relationships he develops in the past. However, the author's explanations provides more details which makes the concepts more plausible. For example, he uses Venn Diagrams when developing probabilities for dependent events and the Probability Square when developing probabilities for independent events. To some this may seem trivial and/or obvious. However, this may not be the case for those who are studying these concepts for the first time.
This book is written in a manner that covers a broad audience interested in learning probability. You should have a very good background in at least algebra. This book is designed for more than just scratiching the surface of Probability. This may be the motivation behind the subtitle..."For the Enthusiastic Beginner."
The seven Chapters cover:
Chapter 1....Combinatorics
Chapter 2....Probability
Chapter 3....Expectation values
Chapter 4....Distributions
Chapter 5....Gaussian approximations
Chapter 6....Correlation and regression
Chapter 7....Appendices
The author solves many example problems in each chapter as aids to learning. There are also end of chapter problems with detailed solutions. Each chapter ends with a summary, which precedes the end of chapter exercises. It is noteworthy that Chapter 3 involves topics that are encountered in statistics. This is an additional plus that emphasizes the relationships between probability and statistics. This is a five star book.
15 of 16 people found the following review helpful.
An Excellent introduction to Probability for a Beginner
By Bruce Harrington
I thought I had a good understanding of statistics, but soon realized I wasn't very good at reading formulas and didn't know much besides descriptive statistics. This book provides a gentle introduction to probability and ramps up to complex ideas quickly. Within the first hundred pages I realized I was comfortable reading formulas that would have intimidated me days earlier.
Kudos to the author for recognizing the need for a book about probability for students who forgot most of their math skills.
The cover art is also wonderful.
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