In this part we introduce modelling and statistical inference for making data-based conclusions. We discuss building, interpreting, and selecting models, visualizing interaction effects, and prediction and model validation. Statistical inference is introduced from a simulation based perspective, and the Central Limit Theorem is discussed very briefly to lay the foundation for future coursework in statistics.
Unit 4 - Deck 2: Fitting and interpreting models
Unit 4 - Deck 4: Models with multiple predictors
Unit 4 - Deck 11: Bootstrapping
Unit 4 - Deck 12: Hypothesis testing
Unit 4 - Deck 13: Inference overview