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Experimental Design and Data Analysis for Biologists

This textbook has now been replaced with a newer edition. On 1st July 2025 it will be withdrawn from institutional access further information is available here. This will not affect customers who have redeemed access codes or purchased via ecommerce.

Authors

Gerry P. Quinn
, Monash University, Victoria,
Michael J. Keough
, University of Melbourne
Published 2002

Description

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification…

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Key features

  • An essential textbook that covers the full range of topics required by any biologist designing experiments or analysing the resulting data
  • Extensive worked examples using real data sets
  • Web page support with downloadable data sets, example questions and relevant links at http://www.zoology.unimelb.edu.au/qkstats

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