1. Introduction to statistical science
2. Scientific data gathering
3. Displaying and summarizing data
4. Logic, probability, and uncertainty
5. Discrete random variables
6. Bayesian inference for discrete random variables
7. Continuous random variables
8. Bayesian inference for binomial proportion
9. Comparing Bayesian and frequentist inferences for proportion
10. Bayesian inference for normal mean
11. Comparing Bayesian and frequentist inferences for mean
12. Bayesian inference for difference between means
13. Bayesian inference for simple linear regression
14. Robust Bayesian methods
A. Introduction to calculus
B. Use of statistical tables
C. Using the included minitab macros
D. Using the included R functions.
