This lecture introduces the fundamental concept of statistical modeling, emphasizing the importance of repeatable random experiments. It covers the process factors, including uncontrollable but quantifiable elements, controllable factors, and the final product. The instructor explains how statistical modeling helps predict outcomes, understand processes, and optimize designs efficiently.