Causation refers to a direct, causal relationship where one event or variable directly causes another. Correlation, on the other hand, describes a relationship where two variables are associated with each other, but does not necessarily imply that one causes the other. Understanding the distinction between causation and correlation is crucial when interpreting the results of research studies and making inferences about the relationships between variables.
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