Foundations of Statistical Inference

Welcome 👋

This course builds intuition for:

• Uncertainty
  
• Sampling
  
• Inference
  
• Causal thinking

Start Here

• Foundations — Distributions, Sampling & Confidence Intervals
• The Sampling Distribution — Data vs Sampling Distribution & When to Assume Normality
• Regression & the CEF — OLS and the Conditional Expectation Function
• Central Limit Theorem — Interactive CLT Simulator
• Power, Alpha, Beta & MDE — Hypothesis Testing & Experiment Design
• Residuals & Controls — Diagnostics, Partialling Out & Omitted Variable Bias
• Homo- & Heteroskedasticity — Constant vs Non-Constant Variance & Robust SEs
• Frisch-Waugh-Lovell — Partialling Out & OVB
• The Bootstrap — Resampling-Based Inference