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Lesson 12 min 20 XP

Data Practice: Putting It All Together

Apply everything you have learned — evaluate claims, spot misleading statistics, and practice critical data analysis.

A Framework for Evaluating Data Claims

When you encounter a statistical claim, run through this checklist:

Source: Who produced this data? Do they have an agenda? Is the methodology publicly available?

Sample: How was data collected? Is the sample representative? How large is it?

Measure: What exactly is being measured? Are definitions consistent? Could the metric be gamed?

Context: What is the base rate? What time frame is being used? What comparisons would provide better context?

Causation: Is a causal claim being made? Is it supported by the study design? What confounders might exist?