Lecture 37 cond prob
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The document covers topics in probability including conditional probability, the multiplication rule, independent events, and examples and exercises with solutions. It introduces key concepts and formulas in probability theory and provides illustrative examples and worked problems.
Lecture 37 cond prob
- 1. Conditional Probability – (37 - 1)
- 2. Example – (37 - 3)
- 3. Example – (37 – 3a)
- 4. Conditional Probability – (37 – 3b)
- 5. Conditional Probability – (37 – 3c)
- 6. Example – (37 - 4)
- 7. Exercise – (37 - 5)
- 8. Solution – (37 – 5a)
- 9. Solution – (37 - 6)
- 10. Solution – (37 – 6a)
- 11. Solution – (37 – 6b)
- 12. Example – (37 - 7)
- 13. Example – (37 – 7a)
- 14. Example – (37 - 8)
- 15. Example – (37 – 8a)
- 16. Solution – (37 - 9)
- 17. Solution – (37 – 9a)
- 18. Example – (37 - 10)
- 19. Example – (37 – 10a)
- 20. Example – (37 – 10b)
- 21. Example – (37 - 11)
- 22. Solution – (37 – 11a)
- 23. Solution – (37 – 11b)
- 24. Solution – (37 - 12)
- 25. Multiplication Rule – (37 - 13)
- 26. Generalized Multiplication Rule – (37 – 13a)
- 27. Example – (37 – 14)
- 28. Example – (37 – 14a)
- 29. Example – (37 – 14b)
- 30. Example – (37 – 14c)
- 31. Independent Events – (37 - 15)
- 32. Independent Events – (37 – 15a)
- 33. Example – (37 - 16)
- 34. Solution – (37 – 16a)
- 35. Solution – (37 – 16b)
- 36. Example – (37 - 17)
- 37. Solution – (37 – 17a)
- 38. Solution – (37 – 17b)
- 39. Solution – (37 – 17c)
- 40. Solution – (37 - 18)
- 41. Solution – (37 – 18a)
- 42. Example – (37 - 19)
- 43. Solution – (37 – 19a)
- 44. Solution – (37 - 19b)