Converting raw scores to $z$ scores serves several important functions in statistical analysis. Primarily, they provide a standardized way to describe exactly where an individual's score is located within a distribution, making them ideal for reporting the results of standardized tests. Additionally, $z$ scores offer a quantitative method for defining outliers and serve as a foundational building block for understanding and computing many other advanced statistical measures.