Week 1 — Probability, Sampling, and the Logic of Inference
Rebuild probability and frequentist inference from the ground up, using simulation as the microscope, so OLS in Week 2 rests on solid foundations. See ../../TOC.md for the full plan.
Chapters
Notebooks (../../../notebooks/week-01/)
- nb1.1 LIE/LTV by simulation · nb1.2 Covariance matrices & correlation heatmaps · nb1.3 Sampling-distribution explorer · nb1.4 LLN/CLT convergence · nb1.5 Power curves & the t-test from scratch
- All verified to run headless (
matplotlibAgg backend, seededdefault_rng(42)).
Problem sets (solutions in Appendix E)
Lab, mentor, assessment
- Lab 1 — Build a Coin-Flip Universe
- Mentor Session 1 — “What is a finding?” (anchored to Gao, Han, Li & Zhou 2018, JFE)
- Week 1 Assessment + Rubric