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Data Science Interview Questions and Answers

Question: What is the difference between correlation and causation?

Answer: Correlation measures the statistical association between two variables, while causation implies a cause-and-effect relationship. Correlation does not imply causation, and establishing causation requires additional evidence.

Example:

There may be a correlation between ice cream sales and drownings, but ice cream consumption does not cause drownings.

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