MML-09-02: The Multivariate Normal Distribution: PDF, Covariance Geometry & Contours – Practice Quiz

Evaluate multivariate Gaussian densities and log-densities, interpret Mahalanobis distance, and connect covariance eigenspaces to contour geometry. Diagnose dimension effects, singular support, unstable covariance estimates, and numerical scoring choices. Normal-law notation uses covariance as its second parameter.

45 questions combining single-select and multiselect formats, with worked explanations and feedback for every choice. Prerequisites: QS 9.1, Part 04. Cognitive range: Tier 1–3. The local authored sequence progresses from accessible checks to computations, modeling diagnostics, and derivation recognition within that range.

Reference: Mathematics for Machine Learning, Chapter 6.