(12 reviews) Author: ISBN : 9780981519401 New from $96.19 Format: PDFThe 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.
- Hardcover: 704 pages
- Publisher: Roberts and Company Publishers; First Edition, 1st Edition edition (July 1, 2008)
- Language: English
- ISBN-10: 0981519407
- ISBN-13: 978-0981519401
- Product Dimensions: 1.7 x 7.4 x 9.7 inches
- Shipping Weight: 4 pounds (View shipping rates and policies)
The Analysis of Biological Data PDF
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.By Betsy
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.
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.By Pastryman
No comments:
Post a Comment