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 offered on planning the right strategies for various statistical approaches and modelling problems, and on interpreting the results. Many examples of computer commands and ouput 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 should make this book useful to all types of biologists.
Table of Contents
Part 1: Statistics: J.C. Fry: One-way analysis of variance; T. Iles: Crossed and hierarchical analysis of variance; J.C. Fry: Bivariate regression; T. Iles: Multiple regression; P.F. Randerson: Ordination; P.D. Bridge: Classification; F.D.J. Dunstan: Time series analysis; Part 2: Modelling: D.W. Bowker: Dynamic models of homogeneous systems; R.G. Wiegert: Compartment models; Index.