Question detail
What is a common misconception about correlation in climate data?
Try the question, check the answer, then read the explanation to understand the curriculum point.
At a glance
MCQ
Type
practice
Style
Topic
Carbon dioxide and methane as greenhouse gases
Question
- A. Correlation can indicate potential relationships.
- B. Correlation proves that one variable causes another.
- C. Correlation can help identify trends.
- D. Correlation is only relevant in statistical analysis.
Answer
The correct option is Correlation proves that one variable causes another.. This answer is correct because it matches the approved learning objective to distinguish correlation from proof when evaluating climate data in the subtopic Global climate change.
Explanation
The correct option is Correlation proves that one variable causes another.. Correlation proves that one variable causes another. is correct because it directly supports the approved learning objective to distinguish correlation from proof when evaluating climate data. This belongs to the subtopic Global climate change within Carbon dioxide and methane as greenhouse gases, so the explanation must stay tied to that curriculum context. The other options are incorrect because they either do not answer this learning objective, use a vague statement, or move away from Global climate change.
Common mistake
Correlation vs. Proof Confusion
Students often confuse correlation with proof, thinking that if two data sets show a relationship, one must cause the other.
Emphasize that correlation indicates a relationship but does not imply causation; use examples to illustrate this distinction.
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