An Introduction to Biostatistics, Third Edition, by Thomas Glover, Kevin Mitchell
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An Introduction to Biostatistics, Third Edition, by Thomas Glover, Kevin Mitchell
Best PDF Ebook Online An Introduction to Biostatistics, Third Edition, by Thomas Glover, Kevin Mitchell
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: Hampton-Havel, Introductory Biological Statistics, Third Edition (ISBN 9781577669500).
An Introduction to Biostatistics, Third Edition, by Thomas Glover, Kevin Mitchell- Amazon Sales Rank: #87306 in Books
- Published on: 2015-06-29
- Original language: English
- Dimensions: 9.25" h x 7.00" w x 1.25" l,
- Binding: Paperback
- 553 pages
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
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