Permutations and Combinations - Example 1 
Permutations and Combinations - Example 1
by iLecturesOnline
Video Lecture 36 of 62
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Date Added: July 3, 2016

Lecture Description

In this video I will find how many ways can 8 objects occupy 5 spaces.

Next video in series:
youtu.be/uLGljYtX4Ks

Course Index

  1. Introduction to Probability and Statistics
  2. Definition of Sets and Elements
  3. Definition of Sample Spaces & Factorials
  4. Definition of Events
  5. Definition of Intersection, Union, Compliment, Venn Diagram
  6. De Morgan's Law Explained
  7. Union and Intersection - Another Look
  8. The Probability Function - A First Look
  9. The Probability Function - Flipping 3 Coins, Example
  10. The Probability Function - Flipping Coins - General Formula 1
  11. The Probability Function - Flipping Coins - General Formula 2
  12. The Probability Function - Flipping 10 Coins - Example
  13. The Probability of an Event NOT Occurring
  14. The Probability of A or B (Independent Events)
  15. The Probability of A or B (Dependent Events)
  16. The Probability of A or B (Dependent Events)
  17. The "At Least One or Once" Rule
  18. The "At Least One or Once" Rule - Example
  19. The "At Least One or Once" Rule - Example 2
  20. The "At Least One or Once" Rule - Example 3
  21. Probability - 4 More Basic Examples
  22. Probability - 3 More Basic Examples
  23. Calculating the Odds -For, -Against, and -On
  24. Calculating the Odds and Horse Racing
  25. Conditional Probability Explained
  26. Conditional Probability (of a Person Born)
  27. Conditional Probability - Independent Event Explained
  28. Basic Definitions and Symbols Summarized
  29. Basic Theorems 1 - 5
  30. Basic Theorems 6 - 10
  31. Basic Theorems 11 - 14
  32. Calculation Probability Summary (1 of 3)
  33. Calculation Probability Summary (2 of 3)
  34. Calculation Probability Summary (3 of 3)
  35. Combinations and Permutations Explained
  36. Permutations and Combinations - Example 1
  37. Permutations and Combinations - Example 2
  38. Permutations and Combinations - Example 3
  39. Permutations and Combinations - Example 4
  40. Permutations and Combinations - Example 5
  41. Permutations and Combinations - Example 6
  42. Permutations and Combinations - Example
  43. Permutations and Combinations - Example 8
  44. Permutations and Combinations - Example 9
  45. Permutations and Combinations - Example 10
  46. Permutations and Combinations - Example 11
  47. Permutations and Combinations - Example 12
  48. Permutations and Combinations - Example 13
  49. Permutations and Combinations - Example 14
  50. Permutations and Combinations - Example 15
  51. Permutations and Combinations - Example 16
  52. Permutations and Combinations - Example 17
  53. Permutations and Combinations - Example 18
  54. Conditional Probability Basics
  55. Conditional Probability - Example
  56. Conditional Probability - "Theorem 1"
  57. Conditional Probability - "Theorem 2"
  58. Conditional Probability: Bayes' Theorem (Part 1 of 3).
  59. Conditional Probability: Bayes' Theorem (Part 2 of 3))
  60. Conditional Probability: Bayes' Theorem (Part 3 of 3))
  61. Conditional Probability: Baye's Theorem Example 1
  62. Conditional Probability: Baye's Theorem Example 2

Course Description

In his first series on Probability and Statistics, Michel van Biezen introduces the basic fundamentals of combinatorics and probability, including set theory, De Morgan's laws, unions and intersections, combinations, permutations, and conditional probability, including Bayes' theorem

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