Stat 35b: Introduction to Probability with Applications to Poker

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Stat 35: Introduction to Probability with Applications to Poker Outline for the day: 1.Addiction 2.Syllabus, etc. 3. Wasicka/Gold/Binger Example 4.Meaning.
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Stat 35: Introduction to Probability with Applications to Poker
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Stat 35b: Introduction to Probability with Applications to Poker Reminder: Hw1 is due Jan 22. Outline for the day: Permutations. Combinations, examples. Kohlberg/Murphy example. R. A vs 2 after first ace. You do get credit for this class if you’ve taken Stat 10.   u    u 

1. Permutations and Combinations e.g. you get 1 card, opp. gets 1 card. # of distinct possibilities? 52 x 51. [ordered: (A , K) ≠ (K , A) .] Each such outcome, where order matters, is called a permutation. Number of permutations of the deck? 52 x 51 x … x 1 = 52! ~ 8.1 x 1067

2. Combinations. A combination is a collection of outcomes, where order doesn’t matter. e.g. in hold’em, how many distinct 2-card hands are possible? 52 x 51 if order matters, but then you’d be double-counting each [ since now (A , K) = (K , A) .] So, the number of distinct hands where order doesn’t matter is 52 x 51 / 2. In general, with n distinct objects, the # of ways to choose k different ones, where order doesn’t matter, is “n choose k” = choose(n,k) = n! . k! (n-k)!

k! = 1 x 2 x … x k. [convention: 0! = 1.] choose (n,k) = (n) = n! . k k! (n-k)! Ex. You have 2 s, and there are exactly 2 s on the flop. Given this info, what is P(at least one more  on turn or river)? Answer: 52-5 = 47 cards left (9 s, 38 others). So n = choose(47,2) = 1081 combinations for next 2 cards. Each equally likely (and obviously mutually exclusive). Two- combos: choose(9,2) = 36. One- combos: 9 x 38 = 342. Total = 378. So answer is 378/1081 = 35.0%. ------------------------------------------------------ Answer #2: Use the addition rule…

As a result, even if A and B might not be mutually exclusive, ADDITION RULE, revisited….. Axioms (initial assumptions/rules) of probability: P(A) ≥ 0. P(A) + P(Ac) = 1. Addition rule: If A1, A2, A3, … are mutually exclusive, then P(A1 or A2 or A3 or … ) = P(A1) + P(A2) + P(A3) + … A B As a result, even if A and B might not be mutually exclusive, P(A or B) = P(A) + P(B) - P(A and B). (p6 of book)

Ex. You have 2 s, and there are exactly 2 s on the flop Ex. You have 2 s, and there are exactly 2 s on the flop. Given this info, what is P(at least one more  on turn or river)? Answer #1: 52-5 = 47 cards left (9 s, 38 others). So n = choose(47,2) = 1081 combinations for next 2 cards. Each equally likely (and obviously mutually exclusive). Two- combos: choose(9,2) = 36. One- combos: 9 x 38 = 342. Total = 378. So answer is 378/1081 = 35.0%. ------------------------------------------------------ Answer #2: Use the addition rule. P(≥ 1 more ) = P( on turn OR river) = P( on turn) + P( on river) - P(both) = 9/47 + 9/47 - choose(9,2)/choose(47,2) = 19.15% + 19.15% - 3.3% = 35.0%.

Ex. You have AK. Given this, what is P(at least one A or K comes on board of 5 cards)? Wrong Answer: P(A or K on 1st card) + P(A or K on 2nd card) + … = 6/50 x 5 = 60.0%. No: these events are NOT Mutually Exclusive!!! Right Answer: choose(50,5) = 2,118,760 boards possible. How many have exactly one A or K? 6 x choose(44,4) = 814,506 # with exactly 2 aces or kings? choose(6,2) x choose(44,3) = 198,660 # with exactly 3 aces or kings? choose(6,3) x choose(44,2) = 18,920 … … altogether, 1,032,752 boards have at least one A or K, So it’s 1,032,752 / 2,118,760 = 48.7%. Easier way: P(no A and no K) = choose(44,5)/choose(50,5) = 1086008 / 2118760 = 51.3%, so answer = 100% - 51.3% = 48.7%

3. Example: Poker Royale: Comedians vs. Poker Pros, Fri 9/23/05. Linda Johnson $543,000 Kathy Kolberg $300,000 Phil Laak $475,000 Sue Murphy $155,000 Tammy Pescatelli $377,000 Mark Curry $0. No small blind. Johnson in big blind for $8000. Murphy (8 8). Calls $8,000. Kolberg. (9 9u). Raises to $38,000. Pescatelli (Kh 3) folds, Laak (9 3) folds, Johnson (J 6u) folds. Murphy calls. TV Screen: Kolberg. (9 9u) 81% Murphy (8 8) 19% Flop: 8 10u 10. Murphy quickly goes all in. Kolberg thinks for 2 min, then calls. Laak (to Murphy): “You’re 92% to take it down.” TV Screen: Kolberg. (9 9u) 17% Murphy (8 8) 83% Who’s right? (Turn 9 river Au), so Murphy is eliminated. Laak went on to win.

TV Screen: Kolberg. (9 9u) 81% Murphy (8 8) 19% Flop: 8 10u 10. Murphy quickly goes all in. Kolberg thinks for 2 min, then calls. Laak (to Murphy): “You’re 92% to take it down.” TV Screen: Kolberg. (9 9u) 17% Murphy (8 8) 83% Cardplayer.com: 16.8% 83.2% Laak (about Kolberg): “She has two outs twice.” P(9 on the turn or river, given just their 2 hands and the flop)? = P(9 on turn) + P(9 on river) - P(9 on both) = 2/45 + 2/45 - 1/choose(45,2) = 8.8%Given other players’ 6 cards? Laak had a 9, so it’s 1/39 + 1/39 = 5.1%

TV Screen: Kolberg. (9 9u) 81% Murphy (8 8) 19% Flop: 8 10u 10. Murphy quickly goes all in. Kolberg thinks for 2 min, then calls. Laak (to Murphy): “You’re 92% to take it down.” TV Screen: Kolberg. (9 9u) 17% Murphy (8 8) 83% Cardplayer.com: 16.8% 83.2% other players’ 6 cards? Laak had a 9, so it’s 1/39 + 1/39 = 5.1% Given just their 2 hands and the flop, what is P(9 or T on the turn or river, but not 98 or T8)? P(9 or T on the turn) + P(9 or T on river) - P(9T) – [P(98) + P(T8)] = 4/45 + 4/45 - [choose(4,2) + 2 + 2]/choose(45,2) = 16.77%

4. To download and install R, go directly to cran. stat. ucla 4. To download and install R, go directly to cran.stat.ucla.edu, or as it says in the book at the bottom of p157, you can start at www.r-project.org, in which case you click on “download R”, scroll down to UCLA, and click on cran.stat.ucla.edu. From there, click on “download R for …”, and then get the latest version.

To download and install R, go directly to cran. stat. ucla To download and install R, go directly to cran.stat.ucla.edu, or as it says in the book at the bottom of p157, you can start at www.r-project.org, in which case you click on “download R”, scroll down to UCLA, and click on cran.stat.ucla.edu. From there, click on “download R for …”, and then get the latest version.

To download and install R, go directly to cran. stat. ucla To download and install R, go directly to cran.stat.ucla.edu, or as it says in the book at the bottom of p157, you can start at www.r-project.org, in which case you click on “download R”, scroll down to UCLA, and click on cran.stat.ucla.edu. From there, click on “download R for …”, and then get the latest version.

To download and install R, go directly to cran. stat. ucla To download and install R, go directly to cran.stat.ucla.edu, or as it says in the book at the bottom of p157, you can start at www.r-project.org, in which case you click on “download R”, scroll down to UCLA, and click on cran.stat.ucla.edu. From there, click on “download R for …”, and then get the latest version.

4. Deal til first ace appears. Let X = the next card after the ace. P(X = A)? P(X = 2)?