Learn · Introduction to Probability Theory and Statistics

Lecture 23 of 58week-04

Applications of Random Variable Continued

Prof. S Dharmaraja · IIT Delhi

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Introduction to Probability Theory and Statistics, IIT Delhi (at NPTEL)
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All the lectures

  1. Lecture 1 Video
  2. Random experiment, sample space, axioms of probability, probability space. (Cont...) Video
  3. Random experiment, sample space, axioms of probability, probability space. (Contd...) Video
  4. Conditional probability, independence of events. Video
  5. Multiplication rule, total probability rule, Bayes's theorem. Video
  6. Lecture 6 Video
  7. Definition of Random Variable, Cumulative Distribution Function (Continued 1) Video
  8. Definition of Random Variable, Cumulative Distribution Function (Continued 2) Video
  9. Type of Random Variables, Probability Mass Function, Probability Density Function Video
  10. Type of Random Variables, Probability Mass Function, Probability Density Function (continued 1) Video
  11. Distribution of Function of Random Variables Video
  12. Lecture 12 Video
  13. Mean and Variance Continued Video
  14. Higher Order Moments and Moments Inequalities Video
  15. Higher Order Moments and Moments Inequalities Continued Video
  16. Generating Functions Video
  17. Generating Functions Continued Video
  18. Lecture 18 Video
  19. Common Discrete Distributions Continued Video
  20. Common Continuous Distributions Video
  21. Common Continuous Distributions Continued Video
  22. Applications of Random Variable Video
  23. Applications of Random Variable Continued Video
  24. Lecture 24 Video
  25. Joint probability mass function Video
  26. Joint probability density function Video
  27. Independent random variables Video
  28. Independent random variables Continued Video
  29. Lecture 29 Video
  30. Functions of several random variables continued Video
  31. Some important results Video
  32. Order statistics Video
  33. Conditional distributions Video
  34. Random sum Video
  35. Lecture 35 Video
  36. Variance Covariance matrix Video
  37. Multivariate Normal distribution Video
  38. Probability generating function and Moment generating function Video
  39. Correlation coefficient Video
  40. Conditional Expectation Video
  41. Conditional Expectation continued. Video
  42. Lecture 42 Video
  43. Mode of Convergence (Continued) Video
  44. Law of Large Numbers Video
  45. Central Limit Theorem Video
  46. Central Limit Theorem (Continued) Video
  47. Lecture 47 Video
  48. Lecture 48 Video
  49. Lecture 49 Video
  50. Lecture 50 Video
  51. Lecture 51 Video
  52. Lecture 52 Video
  53. Lecture 53 Video
  54. Lecture 54 Video
  55. Lecture 55 Video
  56. Lecture 56 Video
  57. Lecture 57 Video
  58. Lecture 58 Video