Probabilistic Decision-Making
Randomized block design is a statistical technique used in experiments to control for variability by grouping similar experimental units into blocks and then randomly assigning treatments within each block. This method helps to ensure that the effects of the treatments are not confounded by the variability among the blocks, leading to more accurate and reliable results. By accounting for these differences, researchers can better isolate the impact of the treatments they are studying, making it particularly useful in contexts like business research where various factors may influence outcomes.
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