Applied mathematics focuses on using mathematical theories and techniques to solve real-world problems, incorporating computational and applicable electives. In contrast, pure mathematics emphasizes theoretical concepts, often exploring abstract ideas without immediate practical applications. For example, linear models in statistics utilize results from linear algebra, such as idempotent matrices and least squares, to derive useful insights. While pure mathematicians may study the theory behind these concepts, their work can eventually inform applied mathematics, leading to advancements in fields like engineering, signal analysis, and cryptography. The distinction between pure and applied math can sometimes blur, but applied math is defined by its direct application to solve specific problems in various sciences.