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Many biologists remain unfamiliar with statistical analysis and modelling, yet need to apply these techniques increasingly in their research. This volume describes how to analyze biological data, with commonly available software packages, without making errors which can invalidate results. Practical guidance is provided for planning the correct strategy for a variety of different statistical approaches and modelling problems and interpreting the results. Many examples of computer commands and output are given to illustrate the different analytical approaches. Biological Data A Practical Approach has been designed specifically to allow researchers with only a minimal knowledge of statistics to understand a variety of statistical methods and apply them directly. The provision of data sets from several biological disciplines will make this book useful to all types of biologists.
This book investigates how biologists with limited statistical training can effectively analyze data and build models without compromising the validity of their research results. The author, John C. Fry, addresses the common gap between biological research needs and statistical proficiency by providing a structured, hands-on framework. The text emphasizes practical application, guiding researchers through the selection of appropriate analytical strategies and the interpretation of computational outputs.
What You Will Find
Experts and researchers frequently cite this volume as a highly accessible resource for those lacking a formal background in advanced statistics. The text is recognized for its focus on practical implementation rather than abstract theory, making it a standard reference for biologists conducting quantitative research.
Page Count:
446
Publication Date:
1993-03-25
Publisher:
Oxford University Press
ISBN-10:
0199633401
ISBN-13:
9780199633401
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