Block Design

Block design is a method used in experiments or statistical studies where data is grouped into blocks or categories that share similar characteristics. By organizing data this way, researchers can control for variability within each block, making it easier to detect the true effect of the treatments or factors being tested. This approach helps improve the accuracy of results by reducing bias caused by differences among groups, ensuring comparisons are fair and more reliable. It’s commonly used in agriculture, medicine, and manufacturing to analyze how different factors perform across controlled or similar conditions.