Correlation vs. Causation | Differences, Designs & Examples - Deepstash
Correlation vs. Causation | Differences, Designs & Examples

Correlation vs. Causation | Differences, Designs & Examples

Correlation means there is a statistical association between variables. Causation means that a change in one variable causes a change in another variable.

Correlation and causation are two related ideas, but understanding their differences will help you critically evaluate and interpret scientific research.

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tomjoad

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Correlation verses Causation

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Correlation is not causation

  • Correlation: Scientists may find that two variables are correlated. They may be related, but it doesn't mean that one is causing the other. It could be a coincidence, or perhaps a third variable is causing both of the other two.
  • Causation: Lots of ...

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