What's On This Page?
Student resources to complement DSS, organized by type:
CODE AND DATASETS USED IN DSS
All code and datasets used in the book are available in the DSS folder here.
INTERACTIVE GRAPHS
To help students develop an intuition about some of the key concepts in statistics:
- Random Treatment Assignment (Chapter 2)
- Random Sampling (Chapter 3)
- Mean and Standard Deviation (Chapter 3)
- Correlation Coefficient (Chapter 3)
- Intercept and Slope (Chapter 4)
- Least Squares Method (Chapter 4)
- Law of Large Numbers (coming soon) (Chapter 6)
- Central Limit Theorem (coming soon) (Chapter 7)
SELF-GRADED REVIEW EXERCISES
To enable students to check their understanding of the material on their own (run code in linked R script in RStudio):
VIDEOS
- How to Run a Randomized Experiment (Chapter 2)
- How to Fit a Line to Predict Y Based on X (Chapter 4)
ADDITIONAL READINGS
- How to Use Posit Cloud for Data Analysis (Chapter 1)