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.
SELF-GRADED REVIEW EXERCISES
Interactive R tutorials for students to check their understanding of the material on their own after completing the readings. Each includes 50-60 questions, combining multiple choice and hands-on coding exercises. Students receive instant feedback and can generate reports showing proportion completed. Eventually, there will be a tutorial for each chapter in the book. Check again soon! (To access them, run the code in the linked R script in RStudio. Watch the walkthrough video.)
INTERACTIVE GRAPHS
Dynamic graphs that students can interact with in real time, directly in their browser, designed to build intuition about 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 6)
VIDEOS AND ADDITIONAL READINGS
- How to Use Posit Cloud for Data Analysis (Chapter 1, PDF)
- How to Run a Randomized Experiment (Chapter 2, video)