Common errors in statistics (and how to avoid them) / Phillip I. Good, James W. Hardin.

I: Foundations
1. Sources of error
2. Hypotheses: the why of your research
3. Collecting data
II: Hypothesis testing and estimation
4. Estimation
5. Testing hypotheses: choosing a test statistic
6. Strengths and limitations of some miscellaneous statistical procedures
7. Reporting your results
8. Graphics
III: Building a model
9. Univariate regression
10. Multivariable regression
11. Validation.