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1. Lecture 1. B) Probability Function‏‎ (25 revisions)
2. Lecture 1. A) Sample Space‏‎ (20 revisions)
3. Lecture 2. B) Leibniz Rule‏‎ (20 revisions)
4. Lecture 9. D) Sufficient Statistics‏‎ (14 revisions)
5. Lecture 2. C) Transformations of Random Variables‏‎ (12 revisions)
6. Lecture 6. G) Some Inequalities‏‎ (11 revisions)
7. Lecture 1. C) Domain of Probability Function‏‎ (11 revisions)
8. Lecture 1. E) More on Probability Functions‏‎ (11 revisions)
9. Lecture 1. F) Random Variables‏‎ (9 revisions)
10. Lecture 2. A) Random Variables (cont.)‏‎ (9 revisions)
11. Lecture 4. B) Bernoulli‏‎ (8 revisions)
12. Lecture 4. G) Normal‏‎ (8 revisions)
13. Lecture 4. F) Gamma‏‎ (8 revisions)
14. Lecture 8. B) Method of Moments‏‎ (8 revisions)
15. Lecture 6. B) Conditional PMF/PDF‏‎ (8 revisions)
16. Lecture 5. A) Families of Distributions‏‎ (7 revisions)
17. Lecture 4. D) Poisson‏‎ (7 revisions)
18. Lecture 3. C) Moment Generating Function‏‎ (7 revisions)
19. Lecture 10. B) Complete Statistic‏‎ (7 revisions)
20. Lecture 11. D) Testing Errors‏‎ (6 revisions)
21. Lecture 4. C) Binomial‏‎ (6 revisions)
22. Lecture 12. J) Neyman-Pearson Lemma‏‎ (6 revisions)
23. Lecture 1. D) Probability Space‏‎ (6 revisions)
24. Lecture 15. C) Example: Hypothesis Test‏‎ (6 revisions)
25. Lecture 6. A) Multiple Random Variables (cont.)‏‎ (6 revisions)
26. Lecture 17. C) Asymptotic Properties of OLS‏‎ (6 revisions)
27. Lecture 13. B) Example: Normal‏‎ (6 revisions)
28. Lecture 2. B) Leibniz Rule II‏‎ (6 revisions)
29. Lecture 10. A) Finding UMVU Estimators‏‎ (6 revisions)
30. Lecture 12. E) Example: LRT‏‎ (6 revisions)
31. Lecture 15. E) Multiple Parameters‏‎ (6 revisions)
32. Lecture 13. E) p-value‏‎ (6 revisions)
33. Lecture 11. F) Example 1‏‎ (5 revisions)
34. Lecture 14. A) Convergence‏‎ (5 revisions)
35. Lecture 12. D) Wald Test‏‎ (5 revisions)
36. Lecture 4. E) Uniform‏‎ (5 revisions)
37. Lecture 11. C) Variation on a Theme‏‎ (5 revisions)
38. Lecture 12. C) Lagrange Multiplier Test‏‎ (5 revisions)
39. Lecture 12. G) Equivalence Between LRT and LM Tests‏‎ (5 revisions)
40. Lecture 6. C) Conditional Moments‏‎ (5 revisions)
41. Lecture 11. B) Testing Procedure‏‎ (4 revisions)
42. Lecture 3. A) Expected Value‏‎ (4 revisions)
43. Lecture 11. E) Power Function‏‎ (4 revisions)
44. Lecture 3. B) Moments‏‎ (4 revisions)
45. Lecture 16. E) Normal Distribution‏‎ (4 revisions)
46. Lecture 15. A) Asymptotic Properties of ML Estimators‏‎ (4 revisions)
47. Lecture 16. D) Conjugate Priors‏‎ (4 revisions)
48. Lecture 6. F) Covariance and Correlation‏‎ (4 revisions)
49. Lecture 9. F) Factorization Theorem‏‎ (4 revisions)
50. Lecture 7. C) Order Statistics‏‎ (4 revisions)

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