Box-Behnken Design

Box-Behnken Design is a statistical method used in experimental research to efficiently examine the effects of multiple factors on a specific outcome. It involves carefully selecting combinations of variable levels without testing every possible scenario, which saves time and resources. By systematically sampling points within the range of variables, it helps identify optimal conditions and understand interactions between factors. This design is especially useful when exploring complex systems, as it provides reliable data to model how different factors influence results, all while minimizing the number of experiments needed.