Lectures
- Lecture 1: Course Overview
- Lecture 2: Intro to R
- Lecture 3: Data & Data Handling
- Lecture 4: Data Wrangling
- Lecture 5: Summary Statistics
- Lecture 6: Plotting 1
- Lecture 7: Plotting 2
- Lecture 8: Probability Basics
- Lecture 9: Models
- Lecture 10: Parameter Estimation 1
- Lecture 11: Classical Testing 1
- Lecture 12: Classical Testing 2
- Lecture 13: Classical Testing 3
- Lecture 14: Impact of Statistical Practices (T. Roettger)
- Lecture 15: Model Comparison
- Lecture 16: Simple Regression
Tutorials
- Tutorial 1: Using R, Data Handling / Wrangling
- Tutorial 2: More R, Wrangling, Summary Stats
- Tutorial 3: Summary statistics
- Tutorial 4: Plotting
- Tutorial 5: Probability calculus
- Tutorial 6: Probability calculus, models
- Tutorial 7: Parameter Estimation
- Tutorial 8: Classical Testing
- Tutorial 9: Hypothesis Testing
- Tutorial 10: Bayesian Hypothesis Testing