Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: 1.Hw, terms, etc. 2.Ly vs. Negreanu (flush draw) example 3. Axioms.

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Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: 1.Hw, terms, etc. 2.Ly vs. Negreanu (flush draw) example 3. Axioms of probability. 4. Basic principle of counting.   u 

3. Axioms (initial assumptions/rules) of probability: 1)P(A) ≥ 0. 2)P(A) + P(A c ) = 1. 3)If A 1, A 2, A 3, … are mutually exclusive, then P(A 1 or A 2 or A 3 or … ) = P(A 1 ) + P(A 2 ) + P(A 3 ) + … (#3 is sometimes called the addition rule) Probability Area. Measure theory, Venn diagrams A B P(A or B) = P(A) + P(B) - P(A and B). 1. HW1. Correction, due 10am not 11. “heads up” = 2 players only, 10c=Tc=10 . 2 pair tiebreaker. 2. Ly vs. Negreanu, p66, season 2 episode 6 1:50 in.

Fact: P(A or B) = P(A) + P(B) - P(A and B). P(A or B or C) = P(A)+P(B)+P(C)-P(AB)-P(AC)-P(BC)+P(ABC). A B C Fact: If A 1, A 2, …, A n are equally likely & mutually exclusive, and if P(A 1 or A 2 or … or A n ) = 1, then P(A k ) = 1/n. [So, you can count: P(A 1 or A 2 or … or A k ) = k/n.] Ex. You have 76, and the board is KQ54. P(straight)? [52-2-4=46.] P(straight) = P(8 on river OR 3 on river) = P(8 on river) + P(3 on river) = 4/46 + 4/46.

4. Basic Principle of Counting If there are a 1 distinct possible outcomes on experiment #1, and for each of them, there are a 2 distinct possible outcomes on experiment #2, then there are a 1 x a 2 distinct possible ordered outcomes on both. e.g. you get 1 card, opp. gets 1 card. # of distinct possibilities? 52 x 51. [ordered: (A , K  ) ≠ (K , A  ).] In general, with j experiments, each with a i possibilities, the # of distinct outcomes where order matters is a 1 x a 2 x … x a j.