Factorial Design is a statistical method used in experiments to evaluate the effects of multiple factors simultaneously. Each factor can have two or more levels, allowing researchers to study how different combinations of these factors influence the outcome. This approach helps identify interactions between factors, providing a more comprehensive understanding of the system being studied. In a 2x2 Factorial Design, for example, two factors are each tested at two levels, resulting in four unique experimental conditions. This design is efficient, as it requires fewer experiments than testing each factor individually, making it a popular choice in fields like psychology, agriculture, and engineering.