Correlations: Correlations measure the strength and direction of the relationship between two variables but do not imply causation.
Experimental Design: Experimental design involves setting up controlled experiments to determine causal relationships by manipulating independent variables and observing their effects on dependent variables.
Confounding Variables: Confounding variables are extraneous factors that can affect both the independent and dependent variables, making it difficult to establish a clear causal relationship.