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Statistical Investigations and Data Analysis · Term 4

Correlation and Causation

Understanding the difference between correlation and causation in bivariate data.

Key Questions

  1. Explain why correlation does not necessarily imply causation between two variables?
  2. Analyze real-world examples where correlation is mistaken for causation.
  3. Justify the importance of considering confounding variables in statistical analysis.

ACARA Content Descriptions

AC9M10ST01
Year: Year 10
Subject: Mathematics
Unit: Statistical Investigations and Data Analysis
Period: Term 4

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