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In experimental design, a block design is a method for reducing variability and improving the accuracy of an experiment by grouping together similar units or subjects and randomly assigning treatments within each group.

In a block design, the units or subjects are first grouped into blocks based on some characteristic or variable that may affect the response. For example, in a study of the effects of a new medication on blood pressure, the subjects could be grouped into blocks based on their age or gender.

Within each block, the different treatment groups are randomly assigned. This helps to reduce the effect of confounding variables and ensure that the treatments are evenly distributed across the different levels of the blocking variable.

Block designs are commonly used in experiments where there is a potential for extraneous variables to affect the results, such as in agricultural or medical research. By using a block design, researchers can control for these variables and improve the accuracy and validity of their conclusions.

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