AP Statistics
Confounding variables are factors that can obscure or distort the relationship between the independent and dependent variables in a study. These variables can lead to incorrect conclusions if not properly controlled, as they may influence the outcome and make it appear as though a causal relationship exists when it does not. Understanding confounding variables is essential in experimental design, ensuring that the effects of the independent variable are accurately measured without interference from other influences.
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