Abstract:
This paper proposes a novel pedagogical approach to teaching the multivariate normal by using an equivalent definition that demands less algebraic and analytical sophistication than the conventional formulation, while more effectively emphasizing its distinctive properties. To further enhance student engagement, the approach integrates a case study on AI-based image processing as an application of the multivariate normal distribution within the instructional framework.