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DMP 10.3: Expected Values, Covariance, and Correlation

Reading

Carlton & Devore Chapter 4, Section 4.2. (Pages 255–262)

Topics

  • Expected values E(h(X,Y))
  • Linearity of expectation
  • Covariance Cov(X,Y)
  • Correlation coefficient Corr(X,Y)
  • Correlation is not causation!

Video

Media Hopper link: Expected Values, Covariance, and Correlation

Exercises

Chapter 4 Exercises 23–42. (Pages 262–264)

License
Creative Commons - Attribution

Book traversal links for DMP 10.3: Expected Values, Covariance, and Correlation

  • DMP 10.2: Jointly Distributed Random Variables
  • Up
  • DMP 10.4: Properties of Linear Combinations

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      • DMP 10.1: Transforming Random Variables
      • DMP 10.2: Jointly Distributed Random Variables
      • DMP 10.3: Expected Values, Covariance, and Correlation
      • DMP 10.4: Properties of Linear Combinations
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