Large Sample Theory provides the foundation for understanding the behavior of estimators and test statistics as sample sizes become large, ensuring they converge to their true values or distributions. It is crucial in statistical inference, allowing for approximations that simplify complex problems and provide insights into the properties of statistical procedures.