Misleading Statistics and Graphs
Students will identify common ways statistics and graphs can be misleading and learn to critically evaluate data presentations.
Key Questions
- Analyze how changes in scale or axis labels can mislead viewers of a graph.
- Evaluate the ethical implications of presenting misleading data.
- Critique a given graph or statistic for potential biases or misrepresentations.
NCCA Curriculum Specifications
Suggested Methodologies
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Planning templates for Foundations of Mathematical Thinking
5E Model
The 5E Model structures lessons through five phases (Engage, Explore, Explain, Elaborate, and Evaluate), guiding students from curiosity to deep understanding through inquiry-based learning.
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