Linear algebra constitutes one of the core mathematical components in any modern curriculum involving statistics. Usually students studying statistics are expected to have seen at least one semester of linear algebra (or applied linear algebra) at the undergraduate level. In particular, students pursuing graduate studies in statistics or biostatistics are expected to have a sound conceptual grasp of vector spaces and subspaces associated with matrices, orthogonality, projections, quadratic forms and so on.