Vectors, Matrix Arithmetic & Linear Systems

Build the matrix language needed for statistical models. Practice vector products, norms, transposes, compatible dimensions, matrix arithmetic, linear systems, rank, independence and inverses. Prerequisites: algebra and basic statistical notation. Move from small calculations to design-matrix identification and existence-versus-uniqueness reasoning, with worked solutions and misconception-based alternatives.

Further reading: Interactive Linear Algebra.