Explore how statistical reasoning can form a rigorous, logical framework for real‑world decision making, blending theory with practical examples to strengthen analytical arguments.
Explores statistical bias, causal inference, and model selection through rigorous comparison methods, blending theory with practical examples to clarify confounding, instrumental variables, and counterfactual reasoning for robust conclusions.