| 1 |
W 9/27 |
Day 1: Introduction to R & RStudio |
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| 2 |
M 10/2 |
Day 2: Intro to Data, Data collection, Summarizing numerical data |
1.1-1.4 |
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W 10/4 |
Day 3: Data visualization, exploratory data analysis (EDA), and summarizing categorical data |
1.5-1.7 & supplementary |
| 3 |
M 10/9 |
Day 4: Probability |
2.1-2.2.4 |
|
W 10/11 |
Day 5: Bayes’ Theorem |
2.2.5 |
| 4 |
M 10/16 |
Day 6: Random variables, Binomial distribution |
3.1-3.2 |
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W 10/18 |
Day 7: Normal and Poisson distributions |
3.3-3.4 |
| 5 |
M 10/23 |
Day 8: Variability in estimates |
4.1 |
|
W 10/25 |
Exam 1: Days 1-6 |
Ch 1, 2, 3.1-3.2 |
| 6 |
M 10/30 |
Day 9: Confidence Intervals |
4.2 |
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W 11/1 |
Day 10: Hypothesis Testing: Single-sample with t-distribution & Two-sample paired data |
4.3, 5.1, 5.2 |
| 7 |
M 11/6 |
Day 11: Hypothesis Testing: Two-sample independent data; Power |
5.3-5.4; Supplementary material |
|
W 11/8 |
Day 12: Inference for a single proportion or difference in proportions |
8.1-8.2 |
| 8 |
M 11/13 |
Day 13: Chi-squared tests, Fishers exact test |
8.3-8.4 |
|
W 11/15 |
Exam 2: Days 7-11 |
Ch 3.3-3.4, 4, 5.1-5.4; Supplementary material |
| 9 |
M 11/20 |
Day 14: Comparing Means with ANOVA. |
5.5, Supplementary material |
|
W 11/22 |
Day 15: Simple Linear Regression |
6.1-6.2 |
| 10 |
M 11/27 |
Day 16: Simple Linear Regression |
6.3-6.4 |
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W 11/29 |
Day 17: Non-parametric tests (sign, signed-rank, rank-sum, Kruskal-Wallis) |
Supplementary material |
| 11 |
M 12/4 |
Review - catch up |
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|
W 12/6 |
Exam 3: Days 12-17 |
Ch 8, 5.5, 6, non-parametric |