Pt. I. Foundations
1. Sources of error
2. Hypotheses : the why of your research
3. Collecting data
Pt. II. Statistical analysis
4. Data quality assessment
5. Estimation
6. Testing hypotheses : choosing a test statistic
7. Miscellaneous statistical practices
Pt. III. Reports
8. Reporting your results
9. Interpreting reports
10. Graphics
Pt. IV. Building a model
11. Univariate regression
12. Alternate methods of regression
13. Multivariable regression
14. Modeling correlated data
15. Validation.
Common errors in statistics (and how to avoid them) by Phillip I. Good. ISBN 9780470457986. Published by John Wiley & Sons in 2009. Publication and catalogue information, links to buy online and reader comments.