Quiz |
Date |
Subject |
1 |
1-20 |
Introduction |
1 |
1-22 |
Study design |
1 |
1-27 |
Hypothesis tests |
1 |
1-29 |
Confidence intervals |
1 |
2-3 |
Observational studies |
2 |
2-5 |
Descriptive statistics |
2 |
2-10 |
Correlation |
2 |
2-12 |
Regression |
2 |
2-17 |
Probability I |
2 |
2-19 |
Probability II |
3 |
2-24 |
The binomial distribution |
3 |
2-26 |
One-sample categorical data |
3 |
3-3 |
The normal distribution |
3 |
3-5 |
The central limit theorem |
3 |
3-10 |
Applying the central limit theorem |
3 |
3-12 |
One-sample categorical data (approximate) |
|
3-17 |
No class (Spring break) |
|
3-19 |
No class (Spring break) |
3 |
3-24 |
One-sample inference: Continuous data |
3 |
3-26 |
Error bars; power and sample size |
4 |
3-31 |
Two-sample Categorical data: Testing |
4 |
4-2 |
Prospective, retrospective, and cross-sectional studies |
4 |
4-7 |
Measuring association in contingency tables |
4 |
4-9 |
Two-sample continuous data |
4 |
4-14 |
Continued; no new notes |
4 |
4-16 |
Transformations and outliers |
4 |
4-21 |
Rank-based and nonparametric methods |
F |
4-23 |
Multiple comparisons |
F |
4-28 |
Multiple samples: Modeling and ANOVAs |
|
4-30 |
Multiple samples: Pairwise comparisons and categorical outcomes |
F |
5-5 |
Survival analysis |
|
5-7 |
Final thoughts/comments |