The Analysis of Biological Data

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9780981519401: The Analysis of Biological Data

The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples.

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About the Author:

Michael Whitlock is an evolutionary biologist and population geneticist. He is a Professor of Zoology at the University of British Columbia, where he has taught statistics to biology students since 1995.

Dolph Schluter is Professor and Canada Research Chair in the Zoology Department and Biodiversity Research Center at the University of British Columbia. He is known for his research on the ecology and evolution of Galapagos finches and threespine stickleback.

Review:

“This book is engaging, intuitive, and with a coverage and pace that is perfect for a first statistics course in biology.”
—Allen J. Moore, University of Exeter



“Whitlock and Schluter have produced an introduction to statistics that is both accessible in its content and compelling in its examples—it should be read by every young biologist. This book will convince even the most reluctant student of the importance of statistical thinking in modern biology.”
—Patrick Phillips, University of Oregon
 



“At last, a book that brings back some of the joy in teaching statistics to biologists! It's a wonderful experience to teach to a class that actually enjoys the recommended text.”
—Simon Robson, James Cook University

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