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Correlation vs. Causation Worksheet

Explore the difference between correlation and causation with real-world examples and critical thinking questions for Grade 10 students.

Grade 10 Math Probability and StatisticsCorrelation vs Causation
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True / FalseMultiple ChoiceShort AnswerFill in the Blanks

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HSS-IC.B.6correlationcausationstatisticsprobabilitygrade 10
6 sections · Free to use · Printable
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Correlation vs. Causation

Name:

Date:

Score:

Read each statement carefully and determine whether it describes a correlation, a causation, or neither. Justify your answer with a brief explanation.

1. As ice cream sales increase, the number of drownings increases. Therefore, eating ice cream causes drowning.

T

True

F

False

Explanation:  

2. Smoking cigarettes causes an increased risk of developing lung cancer.

T

True

F

False

Explanation:  

3. Students who spend more time studying tend to achieve higher grades.

T

True

F

False

Explanation:  

4. Which of the following best describes a correlation?

a

One event directly causes another event to happen.

b

Two events happen at the same time by chance.

c

There is a relationship or pattern between two variables.

d

One event prevents another event from happening.

5. A study found that people who eat breakfast regularly tend to have a lower body mass index (BMI). This is an example of:

a

Causation, because eating breakfast directly causes lower BMI.

b

Correlation, but not necessarily causation.

c

Neither correlation nor causation.

d

A spurious relationship.

6. Explain the difference between a positive correlation and a negative correlation. Provide an example for each.

7. Describe a scenario where two variables are correlated but there is no direct causal link between them. What might be a lurking variable in your example?

8. When two variables move in the same direction (both increase or both decrease), this is known as a   correlation.

9. A   relationship indicates that a change in one variable directly leads to a change in another variable.

10. Observing a correlation between two variables does not automatically mean that one   the other.