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Introduction to Probability (Dover Books on Mathematics) [Paperback]

John E. Freund , Mathematics
3.9 out of 5 stars  See all reviews (8 customer reviews)

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Book Description

May 19, 1993 0486675491 978-0486675497
Thorough, lucid coverage of permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, binomial distribution, geometric distribution, standard deviation, law of large numbers, and much more. Exercises with some solutions. Summary. Bibliography. Includes 42 black-and-white illustrations. 1973 edition.

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Introduction to Probability (Dover Books on Mathematics) + A Rulebook for Arguments
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Product Details

  • Series: Dover Books on Mathematics
  • Paperback: 272 pages
  • Publisher: Dover Publications (May 19, 1993)
  • Language: English
  • ISBN-10: 0486675491
  • ISBN-13: 978-0486675497
  • Product Dimensions: 8.7 x 5.5 x 0.4 inches
  • Shipping Weight: 8.8 ounces (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #128,439 in Books (See Top 100 in Books)

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Customer Reviews

3.9 out of 5 stars
(8)
3.9 out of 5 stars
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Most Helpful Customer Reviews
21 of 21 people found the following review helpful
Format:Paperback
Freund's text, which is based on a course that the author taught to university students fulfilling their general education requirement, is a clearly written and carefully constructed introduction to basic discrete probability. Each topic is placed in context and is illustrated by copious examples that demonstrate both the relevance and utility of probability. The exercises at the end of each section, which are generally straightforward applications of the material covered in that section, reinforce the reader's understanding of the material. Answers are provided to the odd-numbered exercises, making the text suitable for self-study. This text is a good entry point to the study of probability. However, the scope of the text is limited. The emphasis is on how to solve problems rather than the underlying theory. Freund succeeds in making the text as widely accessible as possible, albeit at the expense of a deeper understanding of the material.

The text begins with a chapter on enumerative combinatorics that covers tree diagrams, the Multiplication Principle, factorials, permutations, combinations, and indistinguishable objects. Freund then introduces the classical, frequentist, and subjective (Bayesian) approaches to probability. He contrasts the different approaches, demonstrates how each is applied, discusses their limitations, and shows that they lead to equivalent results. In the following chapter on the mathematical expectation of an event, Freund illustrates how probability is used in making business decisions. Next, Freund puts probability on a formal footing, discussing events, sample spaces, compound events, mutually exclusive events, and probability measures.
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29 of 35 people found the following review helpful
5.0 out of 5 stars This is a great book with real life examples. August 1, 1997
By A Customer
Format:Paperback
I've never seen a probability book with such good examples. Most books on probability give you all of the equations, but they don't really tell you how to apply them to real situations. This book has nothing but real examples. It is the book on probability that I have been looking for
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3 of 3 people found the following review helpful
5.0 out of 5 stars Cheap, excellent book May 6, 2011
Format:Paperback|Verified Purchase
As an introduction to probability, this is an excellent book: easy to read, easy to follow, good contents, etc. The title does say introduction, so don't expect to emerge as the master of probability/statistics after reading this book.
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4 of 5 people found the following review helpful
4.0 out of 5 stars An introduction, not a deep book February 18, 2009
Format:Paperback
This book is very good for those who have little knowledge in Probability but do manage some basic math concepts: polinomials, factorials, limits, etc. I bought it because I was looking for a mathematical course in Probability but this book is not for that, it is very simple. It is not a "definition-theorem-proof" book.
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