Causation vs. Correlation explained with examples.
Causation refers to the relationship where one event causes another to happen. Correlation, on the other hand, simply means that there is a relationship between two variables, but one does not necessarily cause the other. In the options provided, the example that does not demonstrate causation is B: The number of liters of water remaining in a puddle and the number of hours of sunshine in a day, as they are more likely to be correlated rather than one causing the other.
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