Block Design & Confounding

Is it correct to say that the reason why we would use block design is to reduce confounding?

Not quite. The reason to use block design is to create groups of experimental units that are as similar as possible in terms of the response variable (example: if we want to test two brands of shoes on impacting running speeds, we should separate people first by athletic ability, because they would have similar speeds… THEN assign the treatments). Blocking helps reduce variability in the response, so that if there is a difference in the treatments, it’ll be easier to identify.

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