In this video I will find the probability of rolling (a die) at least one “6” in four tries.

Next video in series:
youtu.be/r9SJxqcWOw8

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

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