Ebook A First Course in Probability, by Sheldon M. Ross
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A First Course in Probability, by Sheldon M. Ross
Ebook A First Course in Probability, by Sheldon M. Ross
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8th International Edition of "A First Course in Probability" by Sheldon M. Ross. There are Chinese characters on the cover, the first few pages, and the last page, but all text is in English.
- Sales Rank: #635291 in Books
- Published on: 2009
- Number of items: 1
- Binding: Paperback
- 530 pages
Most helpful customer reviews
92 of 106 people found the following review helpful.
Sadly Inappropriate
By Sojournalist
I rarely review items I don't find to be worthwhile, but in this case, I sense that I may have specific complaints that will help buyers with a choice to keep from making a mistake. Although this item does cover the territory, it does it in a way that doesn't leave much room for positive recommendation.
My overall impression of the book is that it's very well organized, logically develops the topic, and loses it completely in the details.
Primary drawbacks:
* very few illustrations
* teaches by example rather than exposition
* examples are lacking in that they skip steps and sometimes leave results in incomplete states.
The title of the book leads you to believe that a moderately-educated student, in any one of a number of fields including "soft sciences," could use this book to learn probability. I quote from the Preface; "This book is intended as an elementary introduction to the theory... for students in mathematics, statistics, engineering and the sciences (including... the social sciences, and management science)...." However, reality is quite a bit far afield from this ideal. If you aren't very comfortable with single- and multi-variable calculus, and don't have a course in formal logic or mathematical proof under your belt, you will find this material difficult to read and master.
Examples are initially, and throughout, extremely dense and take a great degree of mental effort to unpack. For instance, the very first example in Chapter 3 on Conditional Probability reads as follows: "A student is taking a one-hour time-limit makeup examination. Suppose the probability that the student will finish the exam in less than x hours is x/2, for all 0
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