The Simpson-Kramer Method is a statistical technique used for estimating the value of a variable based on observed data. It combines elements of both the Simpson's Rule for numerical integration and the Kramer’s Rule for solving systems of equations. This method is particularly useful in fields like economics and engineering, where accurate predictions are essential. In practice, the Simpson-Kramer Method involves creating a weighted average of data points to improve accuracy. By considering both the local behavior of the data and its overall trend, this method helps analysts make more informed decisions based on their findings.