Block Design is a statistical method used in experimental research to control for variability among experimental units. It involves grouping similar units into blocks, ensuring that each treatment is applied within each block. This helps to reduce the impact of confounding variables, leading to more accurate results. In a Block Design experiment, researchers randomly assign treatments within each block. This approach is particularly useful in agricultural studies, clinical trials, and other fields where external factors can influence outcomes. By organizing data in this way, researchers can better isolate the effects of the treatments being tested.