Resampling Methods: Bootstrap and Permutation Tests

What you'll build

• A bootstrap confidence interval built from scratch on real data
• A permutation test that answers a real question without distributional assumptions
• A reusable resampling function you can apply to your own analyses

What you'll learn

• How the bootstrap estimates uncertainty when clean formulas do not exist
• How permutation tests work and when they beat a t-test
• How to avoid the common resampling mistakes that invalidate results
• How to explain a resampling result to a non-statistician

About Greg

Associate Professor and Director of the Center for Data Science and Consulting at Loyola University Chicago, with research spanning statistical disclosure control, statistical genetics, and statistics in sports.