New publisher! New price! This accessible, complete introduction to the use of statistics in the biological sciences emphasizes the relationships among probability, probability distributions, and hypothesis testing. There are examples throughout the text taken from many areas in the life sciences, including genetics, physiology, ecology, agriculture, and medicine. The authors highlight the expected value of various test statistics under the null and research hypotheses as a way to understand the methodology of hypothesis testing. In addition, they incorporate nonparametric alternatives to many situations along with the usual parametric analysis. Key features include: 1) each chapter includes a broad set of problems with varying degrees of difficulty, selected answers are located in the back of the book; 2) interesting and easily understood examples are included with each concept; and 3) end-of-chapter problems are randomized within each chapter, requiring students to choose the appropriate analysis and helping them to develop critical decision-making skills.
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Book Description
Editorial Reviews
From the Publisher
Title of related interest also from Waveland Press: Hampton-Havel, Introductory Biological Statistics, Second Edition (ISBN 1577663802).
From the Back Cover
"The text is well organized and clear, quite suitable for an introductory-level course in statistics for the biological sciences. The sets of problems are very relevant and help solidify the concepts." -- Frank Siewerdt, University of Maryland
"I am very impressed with this text. I especially like the number and diversity of the problems at the end of each chapter. The low cost and accompanying CD is also attractive." -- Steven Slack, University of Memphis
"The examples are excellent and the text is very student friendly." -- Kipp Kruse, Eastern Illinois University
"Nice job! The book is updated, now includes a CD, and is less than one-half the price. It is the perfect size (amount of material) for a solid undergraduate biostatistics course." -- Marc Albrecht, University of Nebraska
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Most Helpful Customer Reviews
3 of 3 people found the following review helpful:
5.0 out of 5 stars
Excellent explanations,
Amazon Verified Purchase(What's this?)
This review is from: An Introduction to Biostatistics (Paperback)
My biostats professor is one of the worst teachers I've ever had, so I basically have to teach myself the material. This book definitely explains the concepts wonderfully and provides a lot of examples to explain them even further. I don't mind studying out of it at all, and I normally hate math textbooks.
2 of 2 people found the following review helpful:
3.0 out of 5 stars
A mediocre introduction to statistics,
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This review is from: An Introduction to Biostatistics (Paperback)
My masters degree is in Applied Statistics - I've taught intro stats for several years. I'm using this book in a course I'm taking and I'm fairly disappointed (and I'm only the first chapter in).
The book has frequent incorrect definitions about fundamental concepts. For example, the book defines a random variables are "...characteristics [which] vary in an unpredictable way ..." The whole idea of statistics is that random variables vary in predictable ways - they follow distributions that have probability densities, etc... Also incorrect, they lump continuous data with interval data when they are two separate ideas. Continuous data has it's 'opposite' with discrete data and interval data is paired with ratio data (the book talks about ordinal and categorical data but completely ignores ratio). Interval data can be continuous or discrete as can ratio data. I haven't gone through most of the rest of the book but if this early on the book is making these kinds of mistakes, I can only assume the remainder of the book is also of a mediocre nature.
1.0 out of 5 stars
There are better books,
By Chris "Chris" (RIT, Rochester, NY, USA) - See all my reviews
Amazon Verified Purchase(What's this?)
This review is from: An Introduction to Biostatistics (Paperback)
This book fails to label many tables properly. It functions poorly as an instructive text. It is disorganized, counterintuitive, and neglects to adequately define the math notation it uses.
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