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by Sheldon M. Ross
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  • Author:
    Sheldon M. Ross
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  • Publisher:
    Collier Macmillan Ltd; New edition edition (April 5, 1979)
  • Pages:
    416 pages
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    1818 kb
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Ross, Sheldon M. A rst course in probability, Sheldon Ross

Ross, Sheldon M. A rst course in probability, Sheldon Ross. 8th ed. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-13-603313-4 ISBN-10: 0-13-603313-X 1. oks. This book is intended as an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences (including com-puter science, biology, the social sciences, and management science) who possess the prerequisite knowledge of elementary calculus. It attempts to present not only the mathematics of probability theory, but also, through numerous examples, the many diverse possible applications of this subject.

Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics.

in statistics at Stanford University in 1968. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics.

This market leader is written as an elementary introduction to the mathematical theory of probability for readers in mathematics, engineering, and the sciences who possess the prerequisite knowledge of elementary calculus. The exercise sets have been revised to include more simple, "mechanical" problems and new section of Self-test Problems, with fully worked out solutions, conclude each chapter

A First Course in Probability. 484 Pages · 2012 · . 5 MB · 1,004 Downloads ·English. The only limits you see are the ones you impose on yourself.

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A First Course in Probability book.

Probability A First Course in Probability. All Slader step-by-step solutions are FREE

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Sheldon Ross University of Southern California. Boston Columbus Indianapolis New York San Francisco Upper Saddle River. A First Course in Probability 9. This result could also have been obtained by assigning either the number 0 or the number 1 to each element in the set. To each assignment of numbers, there corresponds, in a one-to-one fashion, a subset, namely, that subset consisting of all elements that were assigned the value 1. As there are 2n possible assignments, the result follows.

Book solution "A First Course in Probability", Ross Sheldon M. - antwoordenboek.

This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus. by. Ross, Sheldon M. Publication date. Upper Saddle River, . inlibrary; printdisabled; ; americana.

The book itself is a 3. It's not great, it's not terrible. It's just kind of an unnecessary entry into the library of books on probability.

The e-book, however, gets a 1 due to the DRM. I bought the e-book so I could switch between devices, but for $130, you can read it on a maximum of two devices. Don't have your kindle with you, not at your desktop, and just want to check something on your phone right before an exam? Too bad! All you get is an error message saying that you can't download the book, with no indication of whether or not (or how) you can de-register it from one device to read it on the one you have.

Basically, it's a typical book from Pearson, with all of their greedy publishing practices, and if it's not mandatory that you get this specific one, I would not recommend it.
Hilarious Kangaroo
book for school.good quality, buy an older edition they're all the same. Someone else in my class bought the last edition for like $3. There was only one problem we encountered that was different the whole semester. The material was the same. Don't waste your money, buy the 8th edition. On the other hand, this is a great book to learn probability. Great explanations, examples, problems etc. Also since it is so popular you can find the answers to almost all of the questions on google.
Good as a reference, but probably too hard to follow for new students (I am familiar with the subject so OK for me).

This book looks like a a collection of examples for instructors to choose from. However for students...if you have no prior experiences, it is way too hard to tell which part of a chapter is a must-read. And 400+ pages, even with some omissions, is a terrible workload for both a self-learner or an undergrad student who takes a upper-level math class. A probability textbook does not need to be that verbose.

Also, from chapter 10 I can tell that the author is probably very, very old.......
Like most have said, unless you have a professor that is good at explaining the material, you'll be screwed in whatever class you need this for. As a person with an Engineering degree and significant experience in high-level mathematics, you'd think I'd be able to comprehend this book. Here are my primary issues with the book:

1) The explanations are worded in the most vague fashion possible. While I enjoy brevity, it's best left to simple topics and books where the reader already has a baseline understanding of the material.

2) The exercises prefer quantity over quality. It's great if you have a book with a ton of options to improve your understanding of the material, however there are exercises in each section that seemingly have nothing to do with anything in that section, especially in the early chapters.

3) It seems that all of the exercises are intentionally designed to trick the reader. Again, if this were an advanced probability course I could understand it, but it's hard enough to get a grasp on the concepts with the terrible explanations in the chapters without having intentionally misleading questions.

I couldn't imagine being a sophomore or junior in college and taking this course. Our university only requires Calc 2 as a prerequisite and that is definitely not enough information. Be prepared to go to office hours frequently or find another textbook to supplement this one.
The issue with this book is pretty simple. It has the best problem set anyone could probably hope for, but the most obscure text. So use this book by doing lots of problems, but consult tutorials, notes, or a simpler book for a better explanation of the concepts.
This book is not for beginners, and the title is misleading. The book is only for those who need to learn deep probability theories and try to solve theoretical problems. If you are an engineer or computer science student, you better go to online courses. I'd not recommend this book unless you have a really great professor.
The exercises tend to be worded in a very convoluted manner. It is often difficult to figure out exactly what is being asked. For example: “How many outcome sequences are possible when a die is rolled four times, where we say, for instance, that the outcome is 3, 4, 3, 1 if the first roll landed on 3, the second on 4, the third on 3, and the fourth on 1?”
All this simply to ask, “How many outcomes are possible when a dice is rolled four times?”
Ordered this book for a class because it was way cheaper than a brand new hard back textbook. Even though I ordered it used it ended up coming brand new still in the plastic wrap! Would recommend