Correlation and Causation Quiz

What is the main difference between correlation and causation?

• Correlation implies a direct cause and effect relationship.

• Causation means two events are related in data.

• Correlation means two events have a cause and effect relationship.

• Causation implies a direct cause and effect relationship.

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What does the phrase "correlation doesn't imply causation" mean?

• Correlation always implies causation.

• Correlation sometimes implies causation.

• Correlation does not necessarily mean causation.

• Correlation and causation are the same.

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Why might people assume causation from correlation?

• Because correlation always proves causation.

• Because correlated data can be persuasive.

• Because causation is easier to prove than correlation.

• Because correlation is never misleading.

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Which of the following is an example of correlation mentioned in the text?

• Students with uniforms have lower test results.

• Patients taking a new vitamin live shorter lives.

• Salesmen who attended training sold more.

• Doctors notice patients taking a new vitamin live shorter lives.

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What should you be skeptical of according to the text?

• News articles that report on data.

• Advertisements that do not use data.

• Studies that have a control group.

• Data that is not correlated.

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What is often missing in studies based on observations or collecting data?

• A hypothesis

• A control group

• A conclusion

• A variable

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Why is it difficult to establish causation in studies?

• Because causation is always obvious.

• Because control groups are easy to establish.

• Because it is nearly impossible to have a control group.

• Because correlation is always misleading.

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What should you look for in news articles involving data?

• Examples of causation proving correlation.

• Examples of correlation wrongfully implying causation.

• Examples of data without correlation.

• Examples of causation without data.

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What is a common goal of advertisements according to the text?

• To provide unbiased data.

• To convince you to buy something.

• To establish a control group.

• To prove causation.

What is a potential issue with assuming causation from correlation?

• It always leads to accurate conclusions.

• It can lead to believing false cause and effect.

• It is never persuasive.

• It always requires a control group.

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