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Event

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🎰 Event

=== a set of possible 💭 Outcomes of a 🪙 Trial, to which a 🎲 Probability is assigned==

Types

Dependence

  • Independent: P(A&B)=P(A)P(B) or P(A∣B)=P(A)
  • Dependent: P(A&B)=P(A)

Composition

  • Elementary → P(X1)
  • Non-Elementary → P(V) = P(X1) + P(X2)

📖 Example:

  • Getting the value 4 (= 🎰 Event) when casting a dice (= 🪙 Trial)
  • Getting a value greater than 3 (= 🎰 Event) when casting a dice (= 🪙 Trial)

Illustration

-glow


🔗 Links

📦 Sample space

Graph View

  • 🎰 Event
  • Types
  • 📖 Example:
  • Illustration

Backlinks

  • Experimentdesign Lectures
  • Event
  • Probability distribution
  • Probability
  • Outlier values
  • → Causality
  • 5⃣ Relative frequency
  • Conditional Probability
  • Frequentist Probability
  • Probability Theory
  • Trial
  • Word Prediction
  • ‍Prior Probability
  • ‍Subjective Probability
  • Hidden Markov model
  • Pointwise Mutual Information