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  1. Lecture 6. D) Law of Iterated Expectations
  2. Lecture 6. E) Conditional Variance Identity
  3. Lecture 6. F) Covariance and Correlation
  4. Lecture 6. G) Some Inequalities
  5. Lecture 7. A) Random Sample
  6. Lecture 7. B) Statistics
  7. Lecture 7. C) Order Statistics
  8. Lecture 7. D) Statistical Inference
  9. Lecture 8. A) Point Estimation
  10. Lecture 8. B) Method of Moments
  11. Lecture 8. C) Maximum Likelihood
  12. Lecture 9. A) Point Estimation (cont.)
  13. Lecture 9. B) Evaluating Estimators
  14. Lecture 9. C) Minimum Variance Estimators
  15. Lecture 9. D) Sufficient Statistics
  16. Lecture 9. E) Rao-Blackwell
  17. Lecture 9. F) Factorization Theorem
  18. Significant Statistics

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