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Data Analytics

Sampling and interpretation

Interpret patterns with appropriate caution about samples, comparisons, and causes.

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Where this chapter sits in the course

Lessons

Chapter 15 of 30 · 7 short lessons · 26 min
  1. 1Samples and populations3 min
  2. 2Sampling bias3 min
  3. 3Confidence intervals4 min
  4. 4Correlation and causation3 min
  5. 5Confounding3 min
  6. 6Simpson's paradox4 min
  7. 7Challenge: Sampling and interpretation6 min

What you'll learn

  • Assess whether a sample represents a target population
  • Interpret uncertainty in an estimate
  • Recognize limits of observational comparisons

Your plan from this chapter

It follows the course from here, at your pace, with reviews before you forget.

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