1. Statistics and Probability are not Intuitive
2. The Complexities of Probability
3. From Sample to Population
4. Confidence Intervals
5. Types of Variables
6. Graphing Variability
7. Quantifying Variation
8. The Gaussian Distribution
9. The Lognormal Distribution and Geometric Mean
10. Confidence Interval for a Mean
11. Error Bars
12. Comparing Groups with Confidence Intervals
13. Comparing Groups with P Values
14. Statistical Significance and Hypothesis Testing
15. Interpreting a Result That is (Or is Not) Statistically Significant
16. How Common are Type I Errors?
18. Statistical Power and Sample Size
19. Commonly Used Statistical Tests
20. Normality Tests
21. Outliers
22. Correlation
23. Simple Linear Regression
24. Nonlinear, Multiple, and Logistic Regression
25. Common Mistakes to Avoid When Interpreting Published Statistics
26. Review