Quiz |
Date |
Subject |
1 |
1-21 |
Introduction |
1 |
1-23 |
Study design |
1 |
1-28 |
Confidence intervals |
1 |
1-30 |
Hypothesis tests |
1 |
2-4 |
Observational studies |
2 |
2-6 |
Descriptive statistics |
2 |
2-11 |
Correlation |
2 |
2-13 |
Regression |
2 |
2-18 |
Probability I |
2 |
2-20 |
Probability II |
3 |
2-25 |
The binomial distribution |
3 |
2-27 |
One-sample categorical data |
3 |
3-4 |
The normal distribution |
3 |
3-6 |
The central limit theorem |
3 |
3-11 |
Applying the central limit theorem |
3 |
3-13 |
One-sample categorical data (approximate) |
3 |
3-25 |
One-sample inference: Continuous data |
3 |
3-27 |
Error bars; power and sample size |
4 |
4-1 |
Two-sample Categorical data: Testing |
4 |
4-3 |
Prospective, retrospective, and cross-sectional studies |
4 |
4-8 |
Measuring association in contingency tables |
4 |
4-10 |
Two-sample continuous data |
4 |
4-15 |
Continued; no new notes |
4 |
4-17 |
Transformations and outliers |
4 |
4-22 |
Rank-based and nonparametric methods |
F |
4-24 |
Multiple comparisons |
F |
4-29 |
Multiple samples: Modeling and ANOVAs |
|
5-1 |
Multiple samples: Pairwise comparisons and categorical outcomes |
F |
5-6 |
Survival analysis |
|
5-8 |
Final thoughts/comments |