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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 Analysis: 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 addresses the critical gap between biological research needs and the statistical proficiency required to analyze data effectively. John C. Fry, an expert in biological research methodologies, provides a structured framework for researchers to navigate complex statistical modeling. By focusing on practical application rather than abstract theory, the text enables biologists to select appropriate analytical strategies and interpret results without compromising scientific integrity.
What You Will Find
Researchers frequently cite this volume as a highly accessible resource for those with minimal statistical backgrounds. Experts highlight the book as a foundational tool for bridging the gap between raw biological data and rigorous quantitative analysis.
Page Count:
448
Publication Date:
1993-04-29
Publisher:
Oxford University Press
ISBN-10:
0199633398
ISBN-13:
9780199633395
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