Which statement correctly distinguishes correlation from causation?

Which statement correctly distinguishes correlation from causation?

• A. Correlation means two variables move together; causation means one causes change in the other; example: ice cream sales and drownings correlate but not causally linked.
• B. Causation means two variables move together
• C. Correlation implies direct cause
• D. Both are about random coincidence

Answer: (A)

The main idea is that correlation is when two things tend to vary together, while causation is when one thing directly brings about a change in the other. The statement uses the classic example of ice cream sales and drownings: they rise together in the same season, so they are correlated, but one does not cause the other. The real driver is the season (hot weather) that increases both ice cream consumption and swimming activity, which can lead to more drownings. This distinction shows why correlation does not equal causation. The other choices misstate the relationship: causation is not simply two variables moving together; correlation does not imply a direct cause; and both are not just about random coincidence.

The main idea is that correlation is when two things tend to vary together, while causation is when one thing directly brings about a change in the other. The statement uses the classic example of ice cream sales and drownings: they rise together in the same season, so they are correlated, but one does not cause the other. The real driver is the season (hot weather) that increases both ice cream consumption and swimming activity, which can lead to more drownings. This distinction shows why correlation does not equal causation.

The other choices misstate the relationship: causation is not simply two variables moving together; correlation does not imply a direct cause; and both are not just about random coincidence.