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The Analysis of Biological Data [Hardcover]

Michael Whitlock , Dolph Schluter
5.0 out of 5 stars  See all reviews (1 customer review)
List Price: CDN$ 134.15
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Book Description

July 1 2008 0981519407 978-0981519401 First Edition, 1st Edition

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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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

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.


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Most helpful customer reviews
0 of 2 people found the following review helpful
5.0 out of 5 stars It was great!! Feb. 4 2013
By ky32492
Format:Hardcover|Verified Purchase
This is an example of an honest advertisement. I got what it stated with no unpleasant surprises. I highly recommend sales from this vender!!
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Amazon.com: 4.5 out of 5 stars  14 reviews
9 of 10 people found the following review helpful
5.0 out of 5 stars Absolutely wonderful textbook in every way Dec 5 2010
By Betsy - Published on Amazon.com
Format:Hardcover
INTRO BIOSTATISTICS PROFESSORS: I implore you, MAKE THIS THE REQUIRED TEXTBOOK FOR YOUR CLASS. I was deeply unimpressed with my biostatistics professor this semester, but am sure that no matter how good a professor you are, this book can still make your class even better for your students. I found myself thinking that, even if I had gained next to nothing from the lectures, I had at least gotten a fantastic textbook out of the class.

This textbook is both wonderfully informative and - something that has been said by very few people not destined to graduate with a degree in biostatistics, I'd wager - actually enthralling. Over and over, I was excited to see what the results of the examples were, ended up doing unnecessary practice questions just to see what they found out. (The consistency with which every single data set and experiment mentioned in the book is interesting is boggling.)

And the book makes sense! The book is very well-written and well-worded, with highly understandable explanations (and a sense of humor to ease frustration). Additionally, the math is accessible and understandable, even for those (like myself) who remember nearly nothing of calculus and have very poor mathematical intuition. For those more interested in the mathematical underpinnings, however, the book doesn't shy away from the proofs and functions - even when it admits that, at this point, tests are going to be completely computerized anyway.

I came into statistics knowing nothing but a general feeling of unease and frustration. Thanks mostly to this textbook, statistics seems actively *exciting* to me, and makes a lot of sense. I highly recommend it, for all levels of interest and skill.
4 of 4 people found the following review helpful
5.0 out of 5 stars Complicated Subject Made Simple Sept. 3 2010
By Pastryman - Published on Amazon.com
Format:Hardcover|Verified Purchase
The book teaches complex statistics using biological examples. It has the tendency to make complicated knowledge quite attainable for students new to statistics. I highly recommend this text for anyone wishing to learn statistics but lacks statistical background.
2 of 2 people found the following review helpful
5.0 out of 5 stars Statistics Made Relevant and Easy Dec 10 2010
By R. Batta - Published on Amazon.com
Format:Hardcover|Verified Purchase
My initial thoughts before signing up for a required statistics college course were that this subject would be very math intensive, difficult to understand, and one that I would soon forget after the course. This book, however, made the subject of statistics very straightforward for a science major like me. While the math is fairly intense, I was surprised at the way the concepts behind the math were presented and how statistics was tied to the broader focus of effective experimental design. We used this book along with SPSS(statisical software) and I can say that I'm confident enough now to perform basic studies on my own. While I certainly will not remember the specific equations behind the various statisical tests, I certainly will remember the constitution of effective experimental design and the various assumption and pitfalls of statistical tests. The book itself is very readable, and includes specific examples from contemporary biological studies. The authors also have a good sense of humor. This book is essential for a science-major oriented statistical course. The book effectively accomplishes the objectives in the preface
Interesting Biology Examples, Intuitive explanation of key concepts, practical data analysis and experimental design, up to date basics, modern topics, and useful summaries/charts of concepts.
I'm amazed at how one can use an introductory book like this as a reference to point out flaws in highly academic, experimental studies in the scientific mainstream today.
1 of 1 people found the following review helpful
5.0 out of 5 stars Great book for looking biostatistics Feb. 12 2014
By Erin - Published on Amazon.com
Format:Hardcover|Verified Purchase
I found this book to be very informative but also VERY easy to read. It was entertaining because the examples they gave helped me understand the statistical test they were doing better but at the same time also showed me how this could be applied to biology. It is also nice because they have random summaries about different things you have learned in the book throughout the book.
1 of 1 people found the following review helpful
4.0 out of 5 stars best stats book i've ever used June 20 2013
By Tyler A. - Published on Amazon.com
Format:Hardcover|Verified Purchase
if you have a class that requires this book, odds are that you'll want to buy the book. if you have any intention of doing research of a biological nature in the future, you will likely find yourself returning to this book many times. excellent examples and very clear explanations. paired with a good prof. this is a winning combination.
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