Lecture Slides
Slides
- Week 1: Introduction
- Week 2: Statistical computing in R
- Week 3: Visualizing distributions
- Week 4: Summarizing distributions
- Week 5: Basics of probability theory
- Week 6: Probability models of distributions
- Week 7: Sampling distributions
- Week 8: Estimates and confidence intervals
- Week 9: Hypothesis testing
- Week 10: Spring Recess – no class
- Week 11: Linear regression
- Week 12: Logistic regression
- Week 13: Extensions to regression
- Week 14: Mediation analysis and multicollinearity (supplemental)
- Week 15: Research presentations
- Week 16: Research presentations/ RRR Week – no new material
- Week 17: Final Exam - May 11 from 11:30AM - 2:30PM in Dwinelle 246