In statistics, "blocking" refers to a technique used to reduce variability and control for the effects of confounding variables in experimental design. The main idea behind blocking is to group experimental units that are similar with respect to certain characteristics or variables that are not the primary focus of the study but could influence the outcome. By doing this, researchers can isolate the effect of the treatment or intervention being studied.
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