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1. Lecture 11. D) Testing Errors‏‎ (used on 1 page)
2. Lecture 13. C) Karlin-Rubin Theorem‏‎ (used on 1 page)
3. Lecture 15. E) Multiple Parameters‏‎ (used on 1 page)
4. Lecture 2. A) Random Variables (cont.)‏‎ (used on 1 page)
5. Lecture 5. C) Multiple Random Variables‏‎ (used on 1 page)
6. Lecture 9. B) Evaluating Estimators‏‎ (used on 1 page)
7. Lecture 11. E) Power Function‏‎ (used on 1 page)
8. Lecture 13. D) 2-sided Tests and Unbiased Tests‏‎ (used on 1 page)
9. Lecture 16. A) Bayesian Inference‏‎ (used on 1 page)
10. Lecture 2. B) Leibniz Rule‏‎ (used on 1 page)
11. Lecture 6. A) Multiple Random Variables (cont.)‏‎ (used on 1 page)
12. Lecture 9. C) Minimum Variance Estimators‏‎ (used on 1 page)
13. Lecture 11. F) Example 1‏‎ (used on 1 page)
14. Lecture 13. E) p-value‏‎ (used on 1 page)
15. Lecture 16. B) Example: Coin Tossing‏‎ (used on 1 page)
16. Lecture 2. C) Transformations of Random Variables‏‎ (used on 1 page)
17. Lecture 6. B) Conditional PMF/PDF‏‎ (used on 1 page)
18. Lecture 9. D) Sufficient Statistics‏‎ (used on 1 page)
19. Lecture 11. G) Setting the Critical Value‏‎ (used on 1 page)
20. Lecture 13. F) Some Notes‏‎ (used on 1 page)
21. Lecture 16. C) A More General Example‏‎ (used on 1 page)
22. Lecture 3. A) Expected Value‏‎ (used on 1 page)
23. Lecture 6. C) Conditional Moments‏‎ (used on 1 page)
24. Lecture 9. E) Rao-Blackwell‏‎ (used on 1 page)
25. Lecture 1. A) Sample Space‏‎ (used on 1 page)
26. Lecture 12. A) Statistical Tests‏‎ (used on 1 page)
27. Lecture 13. G) Interval Estimation/Confidence Intervals‏‎ (used on 1 page)
28. Lecture 16. D) Conjugate Priors‏‎ (used on 1 page)
29. Lecture 3. B) Moments‏‎ (used on 1 page)
30. Lecture 6. D) Law of Iterated Expectations‏‎ (used on 1 page)
31. Lecture 9. F) Factorization Theorem‏‎ (used on 1 page)
32. Lecture 1. B) Probability Function‏‎ (used on 1 page)
33. Lecture 12. B) Likelihood-Ratio Test‏‎ (used on 1 page)
34. Lecture 14. A) Convergence‏‎ (used on 1 page)
35. Lecture 16. E) Normal Distribution‏‎ (used on 1 page)
36. Lecture 3. C) Moment Generating Function‏‎ (used on 1 page)
37. Lecture 6. E) Conditional Variance Identity‏‎ (used on 1 page)
38. Lecture 1. C) Domain of Probability Function‏‎ (used on 1 page)
39. Lecture 12. C) Lagrange Multiplier Test‏‎ (used on 1 page)
40. Lecture 14. B) Law of Large Numbers‏‎ (used on 1 page)
41. Lecture 16. F) "Counterexample"‏‎ (used on 1 page)
42. Lecture 4. A) Distributions‏‎ (used on 1 page)
43. Lecture 6. F) Covariance and Correlation‏‎ (used on 1 page)
44. Lecture 1. D) Probability Space‏‎ (used on 1 page)
45. Lecture 12. D) Wald Test‏‎ (used on 1 page)
46. Lecture 14. C) Convergence in Distribution‏‎ (used on 1 page)
47. Lecture 16. G) Multiple Observations‏‎ (used on 1 page)
48. Lecture 4. B) Bernoulli‏‎ (used on 1 page)
49. Lecture 6. G) Some Inequalities‏‎ (used on 1 page)
50. Lecture 1. E) More on Probability Functions‏‎ (used on 1 page)

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