Choosing and using statistics : a biologist's guide / Calvin Dytham.

CONTENTS;

1. Eight steps to successful data analysis

2. The Basics
Observations
Hypothesis Testing
P-values
Sampling
Experiments
Statistics

3. Choosing a test: a Key

Remember: Eight steps to Successful data analysis
The art of choosing a test
A key to assist in your Choice of statistical test

4. Hypothesis testing, sampling and experimental design

Hypothesis testing
Acceptable errors
P-values
Sampling
Choice of SAMPLE Unit
Etc

5. Statistics, Variables and Distributions

What are statistics?
Types of Statistics
What is a variable?
Types of variables or scales of measurement
Types of distribution
etc

6. Descriptive and presentational techniques

General advice
Displaying data: Summarizing a single variable
Displaying data: Showing the distribution of a single variable
Descriptive statistics
Statistics of description, dispersion or spread
Etc

7. The tests1: Tests to look at differences
Do frequency distributions offer?
Do the observations from two groups differ?
Do the observations from more than two groups differ?
There are two independent ways of classifying the data.

8. The tests 2: tests look at relationships

Is there a correlation or association between two variables?
Is there a cause-and effect relationship between two variables?
Tests for more than two variables.

9. The tests 3: tests for data exploration

Types of data
Observation, inspection and plotting
Principle component analysis (PCA) and factor analysis
Canonical variate analysis
Discriminant function analysis

Glossary : p. 267-281 . _ Bibliographic references : p.282-289 . _ Index : p. 290-298