👉 Quantitative math involves the use of numerical methods and mathematical models to solve problems involving quantities, often using algebra, calculus, statistics, and discrete mathematics. It quantifies relationships and patterns in data, employing concepts like functions, equations, limits, derivatives, integrals, probability distributions, and statistical analysis. For instance, in linear regression, a common quantitative technique, we model the relationship between variables using a linear equation (y = mx + b), where '' and 'b' are constants determined through optimization methods like least squares, minimizing the sum of squared residuals. Calculus plays a crucial role in understanding rates of change and accumulation, while probability theory helps quantify uncertainty and risk. These mathematical tools enable precise predictions, optimizations, and insights into complex systems across various fields like physics, economics, and engineering.
