Standard Unwrapping

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Vocabulary
associationcausationreal-world problems
Skills
  • compare (association and causation in context) #dok2
  • contrast (association and causation in context) #dok2
  • analyze (relationships between association and causation) #dok3
  • explain (differences between association and causation in real-world problems) #dok3
Learning Targets
  • I can define association and causation. #dok1
  • I can identify examples of association and causation in data. #dok1
  • I can compare association and causation in real-world problems. #dok2
  • I can contrast situations that show association versus those that show causation. #dok2
  • I can analyze whether a given scenario demonstrates association or causation. #dok3
  • I can explain the difference between association and causation using real-world examples. #dok3
Big Ideas
  • Distinguishing association from causation is essential when interpreting data from real-world situations.
  • When examining relationships in data, it is important to critically evaluate whether a true cause-effect relationship exists.
Essential Questions
  • What is the difference between association and causation?
  • How can you tell if a relationship between two variables is causal or just an association?
  • Why does identifying causation matter when making decisions based on data?
  • What examples from everyday life illustrate the difference between association and causation?
  • How can confusing association with causation lead to incorrect conclusions?