As other reviewers have said, this is suitable for a first-time graduate student, and elementary calculus is just not enough. Softcover, Book Description Prentice Hall. > Probability & Statistics, Science & Mathematics I used this book not only to study for the first actuary exam, but also as a supplement for my intermediate and doctoral-level probability/inference courses. I guess, if you use this book as your soul example, statistics is a poorly understood voodoo and those who teach it can only communicate it to you through "you'll figure it out." I used this book 18 years ago in an "introductory" probability course for advanced undergraduate/beginning graduate applied mathematics students. In order to give a sense of how difficult the book is (or perhaps how slow I am in picking up the material) - it sometimes takes me a full hour just to read 3 pages. | Contact this seller, Book Description Condition: New. Seller Inventory # 0131856626-2-1, Book Description Prentice Hall. I will try to post my lecture notes online for your reference as well. Offers a new section that presents an elegant way of computing the moments of random variables defined as the number of events that occur. Overall good, beginners might want supplemental material. However most these things are small, and overall the text is a good intro to probability theory. For math majors and other students with a strong mathematics background, however, this may serve as a useful reference. Still, I recall spending a disproportionate amount of time that semester on this course, essentially because of the difficulty of the text, and in particular, I recall many tedious problems that revolved around summing infinite series, which can be daunting until one develops the necessary bag of tricks. This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. A First Course In Probability 7th Edition Solutions Manual Right here, we have countless book a first course in probability 7th edition solutions manual and collections to check out. There are also a few typos here and there - not that many though. Presents new examples and exercises throughout. And I mean plenty, so much that a proof in the book would take 5 lines but when my professor proved it in class it would take him nearly 15. This text will be used to supplement the lectures and provide practice problems. This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. Textbook: A First Course in Probability, ninth edition, by Sheldon Ross (Publisher: Prentice Hall). The extra bulk is not due to explanatory prose, discussion, or optional topics, but rather, an abundance of examples, some of which are good, but some of which are inappropriate and/or poorly carried out. Seller Inventory # Holz_New_0131856626, First Course in Probability, A (7th Edition), First Course in Probability, A (7th Edition) Ross, Sheldon. After all this is a *first* course in the subject. FREE Gives applications to binomial, hypergeometric, and negative hypergeometric random variables, as well as random variables resulting from coupon collecting and match models. They sent me a new copy and a shipping label to return the pieces of the first, and they did it overnight. 4 users rated this 5 out of 5 stars 4. The book is for the beginners of probability. I am very pleased, and the new copy is holding up according to expectations for an expensive text book. Condition: New. This is with a goal of really trying to understand each page. Condition: new. It also has issues with the wording of the problems. Alexander C. Zorach But if you are interested in the math. This can be quite difficult, since his examples are often quite involved, yet not worked with clarity and thoroughness. love it. thank you nice doing business with u. the book was exaclty wat i expected.good good good. Proofs are short and to the point, explanations are terse and compact, "obvious" steps are skipped and left to the reader to fill in. > Mathematics I personally liked that this text was geared towards basic mathematical theory. This is pretty much all that is good about this text, but keep in mind that explaination is the most important part of any textbook. On the other hand, the theoretical problems were incredibly hard and there are no solutions to those. The book fell apart in less than 2 weeks. This was the textbook for my upper-division, undergraduate course in probability theory. Included are many examples to solidify concepts. If you look at the other reviews, some people think the book is really good, others don't care for it. It is an appropriate source for learning basic probability theory and calculation. This book has good examples, good coverage of the material, lots of problems, and a nice section of self-test problems that helps study for tests. Others may find that, despite the examples, the book is not "applied" enough. New. I mean literally 3/4 of the book, maybe more, is examples. See all 9. Lpn To Rn Textbook Professor Manual Ebooks Education Math Reading Statistics. Still, I think the book did do a good job of explaining the theory of probability, even if this was not much use in solving exercises. This book first of all doesn't seem too introductory to me. Something went wrong. 4. While I have rated this as 4 stars, I can understand how those who don't share my enthusiasm for challenging texts would rate it lower. I would recommend this book only to those who are highly disciplined and persistent with studying math. The self-test problems have concise solutions that also can take a some time to understand. Presents new examples and exercises throughout. Since no one else has reported this problem, I hope it was a simple quality failure at assembly. While this book does cover much important topics in probability theory, what is the point of it all if nobody understands it. Write a review. The most basic course, which is lower-division and primarily intended for those majoring in the social science, does not use this book (or calculus, for that matter). Pearson College Div, 2005. In my opinion, this book is not suitable as a first course in probability for anyone but mathematics majors.