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Key Probability Formulas and Concepts

Jan 15, 2025

Probability Formulas Lecture

Introduction

  • Overview of important probability formulas for school.
  • Key topics:
    • Symbols and notations
    • Types of probabilities: marginal, union, joint, conditional, negation
    • Independent vs. dependent events
    • Mutually exclusive events

Marginal Probability

  • Definition: Probability of a single event occurring independent of other events.
  • Formula: Probability of an event = (Number of successful outcomes) / (Total possible outcomes)
  • Example:
    • Sample space: Numbers 1 to 9
    • Event A: Outcomes 1, 2, 3, 4
    • Event B: Outcomes 6, 7, 8
    • Event C: Outcomes 1, 7, 8, 9
    • Probability of A: 4/9, B: 1/3 (0.333), C: 4/9 (0.444)

Symbols

  • Union (∪): Combines elements from both sets
  • Intersection (∩): Common elements in both sets

Union Probability

  • Definition: Probability that either A, B, or both occur.
  • Formula: P(A ∪ B) = P(A) + P(B) - P(A ∩ B)
    • Mutually exclusive events: P(A and B) = 0
  • Example:
    • A ∪ B: Elements 1, 2, 3, 4, 6, 7, 8
    • Probability: 7/9 (77.7%)

Mutually Exclusive Events

  • A and B: No common elements, P(A and B) = 0
  • B and C: Common elements (7, 8), not mutually exclusive

Joint Probability

  • Definition: Probability that both A and B occur simultaneously.
  • Formula: P(A ∩ B)
  • Calculation:
    • P(A and B) = P(A|B) * P(B) = P(B|A) * P(A)

Independent vs. Dependent Events

  • Independent: P(A|B) = P(A), P(B|A) = P(B)
  • Dependent: Probability changes based on previous events
  • Example:
    • Marbles with/without replacement
    • Coin toss outcomes

Conditional Probability

  • Definition: Probability of A given B has occurred.
  • Formula:
    • P(A|B) = P(A ∩ B) / P(B)
    • P(B|A) = P(A ∩ B) / P(A)

Bayes’ Theorem

  • Formula: P(A|B) = [P(B|A) * P(A)] / P(B)
  • Related to conditional probability*

Negation Probability

  • Definition: Probability that the complement of an event occurs.
  • Formula: P(A') = 1 - P(A)
  • Example: Probability of not getting A when A has 4/9 chance
    • A': 5/9

Conclusion

  • Summary of key probability formulas for academic purposes.
  • Encouragement to check additional resources for practice problems.