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The Analysis of Biological Data
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Knowledge of statistics is essential in modern biology and medicine. Biologists and health professionals learn statistics best with real and interesting examples. The Analysis of Biological Data, Second Edition, by Whitlock and Schluter, teaches modern methods of statistics through the use of fascinating biological and medical cases. Readers consistently praise its clear and engaging writing and practical perspective. The second edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of the examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below).The Analysis of Biological Data is the most widely adopted introductory biological statistics textbook. It is now used at well over 200 schools and on every continent.
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Product details
Hardcover: 864 pages
Publisher: W. H. Freeman; Second edition (June 2, 2014)
Language: English
ISBN-10: 9781936221486
ISBN-13: 978-1936221486
ASIN: 1936221489
Product Dimensions:
7.4 x 1.3 x 9.5 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
28 customer reviews
Amazon Best Sellers Rank:
#28,435 in Books (See Top 100 in Books)
I love this book. I have never felt this way about a textbook before. I would marry this textbook. I would certainly give it more than 5 stars, if I could.I teach introductory biostatistics at the college level. This book does an excellent job of presenting statistics as biologists use them. The examples and end-of-chapter questions all use real published data, broadly representing all fields of biology, from cell bio to ecology to medicine. This make it very interesting for most biology students, with a little something for everybody. The text is eminently readable, and the authors' sense of humor really shines through.Every dataset for every example/question is available for download from the accompanying website. The website also includes annotated R code for every example from the text. The book and website together are thus a great resource for learning R. Another reviewer commented that the book does not teach programming -- they must not have noticed the website, or read the introduction to the book. It is true, though, that the text itself stands alone without relying on any particular software, which I would say is a strength.Honestly, this book makes statistics a joy to teach. I don't know what I'd do without it. I am so grateful to Whitlock and Schluter for writing it. They deserve a medal.
I used this textbook for my Bio statistics class and it was incredibly helpful and very easy to read. I am not good at stats, but this book helped me get through my homework, a lot faster than I would've. This is one of the only textbooks that I've used so far in college that helped me understand what I learned in class so much more. It's nothing on my professor, he was very clear in teaching, I'm just very bad at anything that involves math. Overall, the textbook was a very useful reference to help me study and clear up anything that I didn't quite understand all on my own time.
Really helpful book, but in a lot of chapters particularly in the t tests it doesn't always explain the concepts well and often has issues explaining the math step by step. However, is a must for any who need to learn statistics for biological data
Chapter explanations are good and practice problems are useful, however the answer key in the back is riddled with errors and typos.
This book doesn’t do a good job. It explains stuff using a lot of biological jargon which makes it difficult for someone else to decifer
Just as described. Smooth transaction
Used this book for a class and enjoyed it. Found it helpful though I used supplemental instruction as well. This book does not contain any programming instruction so if you want to learn R choose a different book.
Perfect quality for a great price. This book was way cheaper than what my university book store was selling it for.
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