Practical Statistics for Field Biology, 2nd Edition
July 1998, ©1998
An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease.
To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included.
It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
Measuring the Average.
Probability Distributions as Models of Dispersion.
The Normal Distribution.
How Good are Our Estimates?
The Basis of Statistical Testing.
Analysis of Variance -
Bibliography and Further Reading.
Lou Cohen, Loughborough University of Technology, Loughborough, UK
This chapter introduces the nature of multivariate problems and describes techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. No topics have been removed, however, there are a few modifications to enhance the clarity of the existing text and some minor additions; These include:
- An extension to the description of probability and the confidence interval interpretation.
- Some re-ordering of the correlation chapter to present more logical flow.
- Extension to the use of the Tukey Test for handing one way analysis of variance when group sizes are unequal. and
- An appendix detailing the statistical computing packages available.
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