Balanced designs refer to experimental setups where all treatment combinations are represented equally across the subjects or experimental units. This equality helps ensure that the effects of different treatments can be accurately compared without bias, making it a critical feature in factorial designs. Balanced designs contribute to the integrity of statistical analyses, allowing researchers to isolate and understand the main effects and interactions between variables effectively.
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