Choosing and using statistics : a biologist's guide /
Calvin Dytham.
- 3rd edition
- Hoboken, NJ : Wiley-Blackwell, 2011.
- xvi, 298 p. : ill. ; 25 cm.
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