An Introduction to Biostatistics, Third Edition

Kevin Mitchell,Thomas Glover

ISBN 10: 1478627794 / ISBN 13: 9781478627791

Published by Waveland Press, Inc., 2015

About this Item

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Bibliographic Details

• Title: An Introduction to Biostatistics, Third Edition
• Publisher: Waveland Press, Inc.
• Publication Date: 2015
• Language: English
• ISBN 10: 1478627794
• ISBN 13: 9781478627791
• Binding: Paperback
• Edition: 3rd Edition
• Condition: Good

About this title

Synopsis

For over a decade, Glover and Mitchell have provided life-sciences students with an accessible, complete introduction to the use of statistics in their disciplines. The authors emphasize the relationships between probability, probability distributions, and hypothesis testing using both parametric and nonparametric analyses. Copious examples throughout the text apply concepts and theories to real questions faced by researchers in biology, environmental science, biochemistry, and health sciences. Dozens of examples and problems are new to the Third Edition, as are "Concept Checks" short questions that allow readers to immediately gauge their mastery of the topics presented. Regardless of mathematical background, all readers will appreciate the value of statistics as a fundamental quantitative skill for the life sciences.

The authors have prepared a companion guide to using R, a free online statistical tool. The guide, as well as additional appendices and 300 additional problems to supplement the book, is available for download at no additional cost. Not-for-sale instructor resource material available to college and university faculty only; contact publisher directly.

Title of related interest also from Waveland Press: Havel et al, Introductory Biological Statistics, Fourth Edition (ISBN 9781478638186).

Review

"Complete, comprehensive, yet simple and basic. Problems are well chosen and accompanying CD is very helpful." --Will R. Getz, Fort Valley State University

"We found the book to be accurate and engagingly written. Many of the exercises are accompanied by real datasets. It stood out among the other texts we considered." --Tom Short, John Carroll University

"The book covers many topics in more depth and with greater clarity than the book I am presently using. I also appreciated the rich, interesting problems at the end of each chapter." --Dale Zimmerman, University of Iowa