Synopsis
This easily understood but rigorous introduction to biological statistics is a standard text and valuable reference for anyone doing scientific research. The fourth edition has been thoroughly revised and updated using computer calculations and the authors have expanded on important modern topics.
"synopsis" may belong to another edition of this title.
About the Author
ROBERT SOKAL (1928-2012), State University of New York, Stony Brook, USA. F. JAMES ROHLF, State University of New York, Stony Brook, USA.
From the Back Cover
The premier text in the field, Biometry provides both an elementary introduction to basic biostatistics as well as coverage of more advanced methods used in biological research. Students are shown how to think through research problems and understand the logic behind the different experimental situations. This book is designed to serve not only as a text to accompany a lecture course but is also a must have reference text!
NEW TO THIS EDITION
* An Increased Focus on Computer-Based Statistical Methods. Computational formulas have also been replaced throughout with simpler structural formulas for ease of understanding.
* Matrix methods. Matrix methods are introduced in new sections on multiple regression, general linear models, ancova, and curvilinear regression. A new appendix on matrix algebra is also included.
* New Chapter on Statistical Power and Sample Size Estimation. The new edition features a new chapter that covers statistical power, measures of effect size, and the estimation of sample size required for a test.
* Up-to-Date Coverage of Key Developments in Biostatistics. This edition includes the most up-to-date coverage of key topics and trends in the discipline.
From the Inside Flap
[Contains a tabular key to statistical methods]
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Biometry
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Biometry: The Principles and Practice of Statistics in Biological Research
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