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Chance in Biology: Using Probability to Explore Nature

5.0 out of 5 stars 2 customer reviews
ISBN-13: 978-0691094946
ISBN-10: 0691094942
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Product Details

  • Paperback: 312 pages
  • Publisher: Princeton University Press (September 23, 2002)
  • Language: English
  • ISBN-10: 0691094942
  • ISBN-13: 978-0691094946
  • Product Dimensions: 6 x 0.8 x 9 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,370,620 in Books (See Top 100 in Books)

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By A Customer on October 9, 2002
Format: Paperback
*Chance in Biology* is one of the best science books I have ever read (and I have read quite a few of them). This book applies probability theory (along with other topics in math and physics) to biological phenomena. A big PLUS for this book is that the authors intentionally wrote the book to be accessible to an educated but nonspecialized audience.
I really enjoyed the authors' discussion of random walks applied to 'genetic drift' (the likelihood that offsprings' genomes will be different than their parents') and a surprising application of probability theory to elastic materials found in nature.
I also enjoyed their chapter on the probability of extreme phenomena -- which is an obviously useful topic that gets short shrift in many probability and statistics books I have seen. They even use baseball statistics in that chapter!
Another interesting part of this book was the discussion and the practice problems dealing with Bayes' Theorem. The concepts discussed in this book is something that all health care officials and lawyers should familiarize themselves with.
Some caveats about the book:
(a) The reader should be familiar with the 1st year of college calculus. While it is is possible that someone with only an understanding of algebra can get a lot out of the book, the calculus would help. I should note that you do not need to know a lot of calculus and someone who is 'mathophobic' could still get a lot out of the book.
(b) This book does not deal too much with inferential statistics. This book focuses in on probability, which is the cornerstone of statistics. However, when it does touch upon inferential statistics, it does a superb job.
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Format: Hardcover
Biology progressed from natural history to its great depth and breadth in part from the inclusion of truly quantitative ideas from math, physics, and chemistry. The mantle of greatest expositor of these ideas in recent times may have passed from Stephen Vogel (his excellent books are well worth reading) to Mark Denny. Here, with Steven Gaines, he takes us into extreme events, the limits of our ability to hear and to see, the elasticity of spider silk, and more. The math is demanding, but it should be; Denny and Gaines make no bones about it, but reward the reader. Denny's book, Air and Water, is equally a pleasure to read.
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