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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).

Syllabus

Course Materials

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