Chapter 
Date 
Subject 
1; 4.2 
825 
Introduction 
2 
827 
Study design 

91 
No class: Labor Day 
2 
93 
Observational studies 
3 
93 
Descriptive statistics 
4.3, 6.3.6 
98 
Probability 
4.6.1, 4.7 
910 
Confidence intervals 
4.6.2, 4.7 
915 
Hypothesis tests 
6.2.1, 6.2.2 
917 
Binomial distribution 
6.2.3, 6.2.4, 6.4 
922 
Onesample categorical data 

924 
Onesample categorical data: the Bayesian approach 
4.3.3, 4.4 
929 
Normal distribution 
4.5.3 
101 
The central limit theorem 
6.2.5, 6.2.6 
106 
Onesample categorical data: approximate inference 

108 
Exam 1 
4.8.1, 5.4 
1013 
The tdistribution 
4.8.2, 5.15.5 
1015 
Onesample continuous 
5.6, N5.2 
1020 
Twosample inference: Continuous data 
5.8 
1022 
Power and sample size calculations [interactive demo] 
6.3.1, 6.3.2 
1029 
Twosample Categorical data: Testing 
6.3.3, 6.3.4 
113 
Twosample Categorical data: Measuring association 
6.5 
115 
Count data and the Poisson distribution 
8.1, 8.2, 8.4, 8.6, 8.9 
1110 
Transformations and rankbased tests 
8.8, 8.10 
1112 
Distributionfree confidence intervals and the bootstrap 
9.3 
1117 
Correlation 

1119 
Exam 2 

1124 
No class: Thanksgiving recess 

1126 
No class: Thanksgiving recess 
9.19.2 
121 
Regression 
12.112.2, 13.3.4, 12.5 
123 
Multiple comparisons 
16.1, 16.2, 16.5 
1210 
Survival analysis 

1215 
Final Exam 