Statistics I

This is the course page for a core statistics course which I taught during the 2018-2019 Academic Year to first-year masters students at the University of Chicago Harris School of Public Policy.

Supplemental materials (optional but potentially edifying materials) :

Week -8 (Getting Ready): Code & Data for the Social Sciences; Data Camp: R Tutorial; Data Camp: R for Stata Users ; Resources for Learning Stata

Week -6 (Getting Ready): 3 Ways to Spot a Bad Statistic (TED: Mona Chalabi)

Week 1 (Random Variables): How to Make a Bad Decision (Freakonomics Podcast)

Week 2 (Probability Theory): Betting on a Royal Birth: How Many Babies Will Be Born the Same Day? (Significance Magazine); Tunes for Learning R/ Data Problems (youtube)

Week 3 (Summary Statistics: A Bit More on the Fourth Moment): Markets Aren't Normal and Neither Are You (The Ticker Tape); On the Elections Part 1: Election FingerPrints (GMA News Online)

Week 4 (Data Problems: Under-reporting): When Wives Earn More, Both Spouses Under-report Wife's Income (Financial Advisor); Are Household Surveys Like Tax Forms? Evidence from Income Underreporting of the Self-employed (Chicago Booth)

Week 5 (Hypothesis Testing): The Experiment Experiment (Planet Money)