Which one of the following statements is true about causality and correlation?

Question: Which one of the following statements is true about causality and correlation?

Causality and correlation are fundamental concepts in statistics and research methodology. Correlation refers to a statistical association between two variables, indicating that they tend to change together. However, it does not imply that one variable causes the change in another. Causality, on the other hand, implies a cause-and-effect relationship, where changes in one variable directly result in changes in the other. It's crucial to understand that while causation always implies correlation, the reverse is not true; correlation does not inherently imply causation. This distinction is essential for accurate data interpretation and sound scientific conclusions. For a deeper understanding of these concepts, you might find resources like Scribbr's article on the topic informative.

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