Statistical Methods & Thinking

Episode 5 connects the “big picture” of multiple linear regression: the matrix form of the model, how least squares and maximum likelihood lead to the same estimates under standard assumptions, and wh...

31 Jan 31min

Episode 4 introduces multiple linear regression—how to model an outcome using several predictors at once, and how to interpret each effect while holding the others constant.We cover dummy variables fo...

31 Jan 34min

This episode builds on simple linear regression by focusing on statistical inference—how we move from a fitted line to meaningful conclusions. We review the intuition behind least squares and explain ...

31 Jan 48min

This episode introduces simple linear regression as a tool for understanding trends and making predictions from data. We begin with the historical insight of Francis Galton, whose study of the relatio...

31 Jan 36min

This episode is based on the course syllabus and the first lecture of Applied Statistical Methods. The primary goal is to introduce students to applied data analysis using statistical tools.The lectur...

31 Jan 30min