2-level factorial design

A 2-level factorial design is a method used in experiments to study how multiple factors influence an outcome. Each factor is tested at two different settings (levels), such as "high" and "low." By combining these levels across all factors, researchers can systematically evaluate every possible combination, allowing them to see not only the individual effects of each factor but also how they interact with each other. This approach provides a comprehensive understanding of the factors’ impacts efficiently, making it a valuable tool in optimizing processes and identifying key variables.