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Practical Statistics for Field Biology, 2nd Edition

Practical Statistics for Field Biology, 2nd Edition

Jim Fowler, Lou Cohen, Phil Jarvis

ISBN: 978-0-471-98296-8

Jul 1998

272 pages

In Stock

$61.00

Description

Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings.

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.

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Measurement and Sampling Concepts.

Processing Data.

Presenting Data.

Measuring the Average.

Measuring Variability.

Probability.

Probability Distributions as Models of Dispersion.

The Normal Distribution.

Data Transformation.

How Good are Our Estimates?

The Basis of Statistical Testing.

Analysing Frequencies.

Measuring Correlations.

Regression Analysis.

Comparing Averages.

Analysis of Variance -
ANOVA.

Multivariate Analysis.

Appendices.

Bibliography and Further Reading.

Index.
This new edition covers some more complicated statistics not included in the first edition which will make the scope of this book even more useful to postgraduates whilst not detracting from its overall introductory nature. The contents list is the same, except for a major new chapter on "Multivariate Analysis" (chapter 18).

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.
  • Thoroughly revised and updated new edition.
  • Covers all the basic statistical concepts and tests.
  • Is user-friendly - avoids excessive technical jargon.
  • Starts from first principles and progresses step by step.