1. On Sorting Data; 2. The Impact of Mean and Variance; 3. Assessing Probabilities; 4. Random Variables; 5. Sums of Independent Random Variables; 6. Distribution of Counts; 7. Modelling with Probability Density Functions; 8. Joint Distributions: When Independence Fails; 9. Sampling; 10. Parameter Hunting with Points and Intervals; 11. One-Sample Significance Tests; 12. Two-Sample Significance Tests; 13. Multiple-Sample Investigations; 14. Regression and Correlation.
