Class Slides

Date	Title	Categories
9/27/23	Day 1: Intro to R & Rstudio	Week 1
10/2/23	Day 2: Data collection & numerical summaries	Week 2
10/4/23	Day 3: Data visualization - Part 2	Week 2
10/4/23	Day 3: Data visualization	Week 2
10/9/23	Day 4: Probability Part 1	Week 3
10/11/23	Day 5: Probability Part 2 - Bayes’ Rule	Week 3
10/16/23	Day 6: Random variables and Binomial distribution	Week 4
10/18/23	Day 7: Normal and Poisson distributions	Week 4
10/23/23	Day 8: Variability in estimates	Week 5
10/30/23	Day 9: Confidence intervals (4.2)	Week 6
11/1/23	Day 10 Part 1: Hypothesis testing for mean from one-sample (Sections 4.3, 5.1)	Week 6
11/1/23	Day 10 Part 2: Inference for mean difference from two-sample dependent/paired data (Section 5.2)	Week 6
11/6/23	Day 11: Inference for difference in means from two independent samples and Power (Sections 5.3, 5.4)	Week 7
11/8/23	Day 12: Inference for a single proportion or difference of two (independent) proportions (Sections 8.1-8.2)	Week 7
11/13/23	Day 13: Chi-squared tests (Sections 8.3-8.4)	Week 8
11/20/23	Day 14: Comparing Means with ANOVA (Section 5.5)	Week 9
11/22/23	Day 15: Simple Linear Regression (Sections 6.1-6.2)	Week 9
11/27/23	Day 16: Simple Linear Regression Part 2 (Sections 6.3-6.4)	Week 10
11/29/23	Day 17: Nonparametric tests - Supplemental material	Week 10