Download Ebook The Analysis of Biological Data, by Michael C. Whitlock, Dolph Schluter
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The Analysis of Biological Data, by Michael C. Whitlock, Dolph Schluter
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The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. Whitlock and Schluter use several techniques to reach this unique audience. Throughout, they teach statistics in the context of interesting biological and medical examples; they emphasize intuitive understanding rather than an over-reliance on formulas; they focus on the data rather than the mathematical foundations of statistics; and they introduce - on a conceptual level - modern topics such as likelihood, regression, randomization, meta-analysis and the bootstrap. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and the wide variety of fascinating and relevant biological examples.
- Sales Rank: #303937 in Books
- Published on: 2008-07-01
- Format: B-sides included
- Original language: English
- Number of items: 1
- Dimensions: 7.10" h x 1.20" w x 9.40" l, 3.85 pounds
- Binding: Hardcover
- 704 pages
- Hardcover, Statistics textbook, Biostats, Biology Stats, Biology Statistics
Review
I found the book engaging, intuitive, and with a coverage and pace that is perfect for a first statistics course for students in biology. --Allen J. Moore, University of Exeter
An introduction to statistics that is both accessible in its content and compelling in its examples. --Patrick Phillips, University of Oregon
The authors' approach to teaching statistics truly makes the appropriate connections to the kinds of problems and data biological researchers will encounter today. --Grace Wyngaard, James Madison University
About the Author
Michael Whitlock is Professor of Biology in the Department of Zoology at the University of British Columbia. He is an expert in population genetics, especially in the evolution of spatially structured populations. Dolph Schluter is Professor and Canada Research Chair and Director of the Biodiversity Research Center at the University of British Columbia. He is known for his work in evolutionary ecology, especially speciation in three-spined sticklebacks.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Five Stars
By Derivativemusic
Great stats book! It's simple without being watered down, and it keeps it entertaining.
10 of 11 people found the following review helpful.
Absolutely wonderful textbook in every way
By Betsy
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.
3 of 3 people found the following review helpful.
Statistics Made Relevant and Easy
By Batto
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.
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