This is an introduction to statistics for master’s level social scientists. It focuses on the applied aspects of data analysis and statistics. Topics include working with data in spreadsheets and Jamovi, data visualization, exploratory data analysis, and statistical tests (t-tests, ANOVA, correlation, regression).
Week | Slides | Pre-recorded Lecture | In-Class Material |
---|---|---|---|
Week 1 | PDF & PPTX | Broman Article | |
Week 2 | PDF & PPTX | Week 2 Pre-recorded Lecture | Class Data & Office/Parks Data Set |
Week 3 | PDF & PPTX | Week 3 Pre-recorded Lecture | Class Data & Office/Parks Data Set |
Week 4 | PDF & PPTX | Week 4 Pre-recorded Lecture | Office/Parks Data Set |
Week 5 | PDF & PPTX | Week 5 Pre-recorded Lecture | Office/Parks Data Set |
Week 6 | PDF & PPTX | Week 6 Pre-recorded Lecture | Office/Parks Data Set |
Week 7 | PDF & PPTX | Week 7 Pre-recorded Lecture | Office/Parks Data Set |
Week 8 | Review Week | Office/Parks Data Set | |
Week 9 | PDF & PPTX | Week 9 Pre-recorded Lecture | Office/Parks Data Set |
Weeks 10 - 11 | PDF & PPTX | Week 10 Part 1 & Week 10 Part 2 | Office/Parks Data Set & Poverty Data Set & Regression in Jamovi Tutorial |
Week 12 | PDF & PPTX | Pre-recorded Lecture | DAGs.pdf |
Week 13 | PDF & PPTX | Pre-recorded Lecture & What Are The Odds? | Office/Parks Data Set |
Week 14 | PDF & PPTX | Pre-recorded Lecture | Office/Parks Data Set |