What is the difference between causal inference and correlation?
Causal inference determines if one event causes another, while correlation measures the relationship between two variables.
Can you give me an example of each?
Sure! An example of correlation is the relationship between ice cream sales and temperature. Causal inference would be if we find that smoking causes lung cancer.
Why is it important to distinguish between the two?
It's crucial because confusing correlation with causation can lead to incorrect conclusions and poor decision-making.
How can I determine if a relationship is causal?
You can use methods like randomized controlled trials, longitudinal studies, or statistical techniques like regression analysis.
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