By: Jim Fowler (Author), Lou Cohen (Author), Phil Jarvis (Author)
259 pages, illustrations, tables
Practical Statistics for Field Biology acknowledges the peculiarities of field-based data and its interpretation, and aims to provide biologists with sufficient grounding in statistical principles and methods to enable them to understand research reports, decide on the most appropriate statistical tests for their own problems, and to analyse and present their findings. This new edition also covers some more complicated statistics not included in the first edition, making the scope of Practical Statistics for Field Biology even more useful to postgraduates whilst not detracting from its overall introductory nature.
- Measurement and sampling concepts
- processing data
- presenting data
- measuring the average
- measuring variability
- probability distributions as models of dispersion
- the normal distribution
- data transformation
- how good are our estimates?
- the basis of statistical testing
- analyzing frequencies
- measuring correlations
- regression analysis
- comparing averages
- analysis of variance - ANOVA
- multivariate analysis
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