Chapter	Date	Subject
1; 4.2	8-23	Introduction
2	8-25	Study design [more info on placebos]
2, 3	8-30	Observational studies; Descriptive statistics
4.3, 6.3.6	9-01	Probability
4.6.1, 4.7	9-06	Confidence intervals
4.6.2, 4.7	9-08	Hypothesis tests
6.2.1, 6.2.2	9-13	Binomial distribution
6.2.3, 6.2.4, 6.4	9-15	One-sample categorical data
	9-20	One-sample categorical data: the Bayesian approach
4.3.3, 4.4	9-22	Normal distribution
4.5.3	9-27	The central limit theorem
6.2.5, 6.2.6	9-29	One-sample categorical data: approximate inference
4.8.1, 5.4	10-04	The t-distribution
	10-06	Exam 1
	10-11	The t-distribution (cont'd)
4.8.2, 5.1-5.5	10-13	Pivots and t-tests
5.6, N5.2	10-18	Two-sample inference: Continuous data
5.8	10-20	Power and sample size calculations [Interactive demo]
6.3.1, 6.3.2	10-25	Two-sample Categorical data: Testing
6.3.3, 6.3.4	10-27	Two-sample Categorical data: Measuring association
	11-01	Two-sample Categorical data: Measuring association (cont'd)
6.5	11-03	Count data and the Poisson distribution
8.1, 8.2, 8.4, 8.6, 8.9	11-08	Transformations and rank-based tests
8.8, 8.10	11-10	Distribution-free confidence intervals and the bootstrap
9.3	11-15	Correlation
	11-17	Exam 2
	11-22	No class: Thanksgiving recess
	11-24	No class: Thanksgiving recess
9.1-9.2	11-29	Regression
12.1-12.2, 13.3.4, 12.5	12-01	Multiple comparisons
16.1, 16.2, 16.5	12-06	Survival analysis
	12-08	Survival analysis (cont'd)
	12-12	Final Exam