Behavioral analysis of data in process systems is the ultimate application of my accumulated experiences in high school statistics, mathematics, and physics. The processes themselves are derived from mathematical and physical models, and are streamlined using optimization methods that are at the heart of calculus. As the theoretically formulated processes are turned into production, statistical analysis is used to isolate and perfect different aspects of the procedures to ensure the utmost efficiency of the overall system. Research in process engineering is essential to improving industrial practices. In the case of plastic injection molding, inefficiencies in production process result in the disruption in the uniformity of the product, excess wastage of materials, and other potential disasters related to inconsistent measurements and calibrations of machines. The use of data driven methods to analyze the entirety of the production process assists with the perpetual task of improving and optimizing the outputs while reducing errors and eliminating opportunities for failure.