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Understanding Probability and Statistics: A Book of Problems 1st Edition

2.0 2.0 out of 5 stars 2 ratings

This popular problem collection is now available in paperback to be used for self study and in conjunction with basic courses in probability and statistics. Its strength lies in the originality of the problems which have been extensively tested in teaching by the author and others.

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Editorial Reviews

About the Author

Ruma Falk

Product details

  • Publisher ‏ : ‎ A K Peters/CRC Press; 1st edition (September 15, 1997)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 256 pages
  • ISBN-10 ‏ : ‎ 1568810717
  • ISBN-13 ‏ : ‎ 978-1568810713
  • Item Weight ‏ : ‎ 15.2 ounces
  • Dimensions ‏ : ‎ 6.25 x 0.75 x 9 inches
  • Customer Reviews:
    2.0 2.0 out of 5 stars 2 ratings

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Ruma Falk
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2 out of 5 stars
2 out of 5
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2 global ratings

Top review from the United States

Reviewed in the United States on August 16, 2003
Falk gives a varied and intriguing selection of problems (with scrupulous credit to the original sources) and explains the more challenging of them in helpful detail. Classical problems in the field (Pascal, Galileo) are included along with more recent ones (the Monty Hall perplexity). The invented problems are judicious and relevant. I warmly recommend this book to self-students like myself.
My one reservation is that Falk sometimes seems to introduce Bayesian "later information" considerations into problems where, by her own analysis, such information doesn't really make a difference, except on further assumptions not warranted by the problem. If so, the student's awareness of the long-running Bayesian vs Bernoullian controversy is ultimately enhanced, which is to say that the ideal reader of the book is probably an active and statistically informed student of the subject.
As promised in the Preface, the mathematical requirements are kept reasonably low, and except for the multiple choice quiz in Chapters 4 and 5, the problem solving approach is followed throughout, so that the book can be read independently of a regular statistics course.
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