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Events

Events. For ω ϵ Ω, X ( ω) ϵ IR. What does P(X=2) mean? What does P(X>2) mean?. Ch. 2 Intro to Discrete Rvs. Shorthand. For B ⊂ IR ,. 2.2 Discrete RVs. Probability Mass Functions. Common pmfs. Uniform Bernoulli p X (1) = p p X (0) = 1-p. Common pmfs.

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Events

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  1. Events

  2. For ω ϵ Ω, X (ω) ϵ IR. What does P(X=2) mean? What does P(X>2) mean? Ch. 2 Intro to Discrete Rvs

  3. Shorthand • For B⊂IR,

  4. 2.2 Discrete RVs

  5. Probability Mass Functions

  6. Common pmfs • Uniform • Bernoulli pX(1) = p pX(0) = 1-p

  7. Common pmfs • Poisson

  8. 2.3 Multiple RVs

  9. Independence for 2 RVs

  10. Independence for Multiple RVs

  11. Max and Min Problems

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