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Introduction to Discrete Probability

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Title: Introduction to Discrete Probability


1
Introduction to Discrete Probability
  • Rosen, section 5.1
  • CS/APMA 202
  • Aaron Bloomfield

2
Terminology
  • Experiment
  • A repeatable procedure that yields one of a given
    set of outcomes
  • Rolling a die, for example
  • Sample space
  • The range of outcomes possible
  • For a die, that would be values 1 to 6
  • Event
  • One of the sample outcomes that occurred
  • If you rolled a 4 on the die, the event is the 4

3
Probability definition
  • The probability of an event occurring is
  • Where E is the set of desired events (outcomes)
  • Where S is the set of all possible events
    (outcomes)
  • Note that 0 E S
  • Thus, the probability will always between 0 and 1
  • An event that will never happen has probability 0
  • An event that will always happen has probability 1

4
Dice probability
  • What is the probability of getting snake-eyes
    (two 1s) on two six-sided dice?
  • Probability of getting a 1 on a 6-sided die is
    1/6
  • Via product rule, probability of getting two 1s
    is the probability of getting a 1 AND the
    probability of getting a second 1
  • Thus, its 1/6 1/6 1/36
  • What is the probability of getting a 7 by rolling
    two dice?
  • There are six combinations that can yield 7
    (1,6), (2,5), (3,4), (4,3), (5,2), (6,1)
  • Thus, E 6, S 36, P(E) 6/36 1/6

5
Poker
6
The game of poker
  • You are given 5 cards (this is 5-card stud poker)
  • The goal is to obtain the best hand you can
  • The possible poker hands are (in increasing
    order)
  • No pair
  • One pair (two cards of the same face)
  • Two pair (two sets of two cards of the same face)
  • Three of a kind (three cards of the same face)
  • Straight (all five cards sequentially ace is
    either high or low)
  • Flush (all five cards of the same suit)
  • Full house (a three of a kind of one face and a
    pair of another face)
  • Four of a kind (four cards of the same face)
  • Straight flush (both a straight and a flush)
  • Royal flush (a straight flush that is 10, J, K,
    Q, A)

7
Poker probability royal flush
  • What is the chance ofgetting a royal flush?
  • Thats the cards 10, J, Q, K, and A of the same
    suit
  • There are only 4 possible royal flushes
  • Possibilities for 5 cards C(52,5) 2,598,960
  • Probability 4/2,598,960 0.0000015
  • Or about 1 in 650,000

8
Poker probability four of a kind
  • What is the chance of getting 4 of a kind when
    dealt 5 cards?
  • Possibilities for 5 cards C(52,5) 2,598,960
  • Possible hands that have four of a kind
  • There are 13 possible four of a kind hands
  • The fifth card can be any of the remaining 48
    cards
  • Thus, total possibilities is 1348 624
  • Probability 624/2,598,960 0.00024
  • Or 1 in 4165

9
Poker probability flush
  • What is the chance of getting a flush?
  • Thats all 5 cards of the same suit
  • We must do ALL of the following
  • Pick the suit for the flush C(4,1)
  • Pick the 5 cards in that suit C(13,5)
  • As we must do all of these, we multiply the
    values out (via the product rule)
  • This yields
  • Possibilities for 5 cards C(52,5) 2,598,960
  • Probability 5148/2,598,960 0.00198
  • Or about 1 in 505

10
Poker probability full house
  • What is the chance of getting a full house?
  • Thats three cards of one face and two of another
    face
  • We must do ALL of the following
  • Pick the face for the three of a kind C(13,1)
  • Pick the 3 of the 4 cards to be used C(4,3)
  • Pick the face for the pair C(12,1)
  • Pick the 2 of the 4 cards of the pair C(4,2)
  • As we must do all of these, we multiply the
    values out (via the product rule)
  • This yields
  • Possibilities for 5 cards C(52,5) 2,598,960
  • Probability 3744/2,598,960 0.00144
  • Or about 1 in 694

11
Inclusion-exclusion principle
  • The possible poker hands are (in increasing
    order)
  • Nothing
  • One pair cannot include two pair, three of a
    kind, four of a kind, or full house
  • Two pair cannot include three of a kind, four of
    a kind, or full house
  • Three of a kind cannot include four of a kind or
    full house
  • Straight cannot include straight flush or royal
    flush
  • Flush cannot include straight flush or royal
    flush
  • Full house
  • Four of a kind
  • Straight flush cannot include royal flush
  • Royal flush

12
Poker probability three of a kind
  • What is the chance of getting a three of a kind?
  • Thats three cards of one face
  • Cant include a full house or four of a kind
  • We must do ALL of the following
  • Pick the face for the three of a kind C(13,1)
  • Pick the 3 of the 4 cards to be used C(4,3)
  • Pick the two other cards face values C(12,2)
  • We cant pick two cards of the same face!
  • Pick the suits for the two other cards
    C(4,1)C(4,1)
  • As we must do all of these, we multiply the
    values out (via the product rule)
  • This yields
  • Possibilities for 5 cards C(52,5) 2,598,960
  • Probability 54,912/2,598,960 0.0211
  • Or about 1 in 47

13
Poker hand odds
  • The possible poker hands are (in increasing
    order)
  • Nothing 1,302,540 0.5012
  • One pair 1,098,240 0.4226
  • Two pair 123,552 0.0475
  • Three of a kind 54,912 0.0211
  • Straight 10,200 0.00392
  • Flush 5,140 0.00197
  • Full house 3,744 0.00144
  • Four of a kind 624 0.000240
  • Straight flush 36 0.0000139
  • Royal flush 4 0.00000154

14
A solution to commenting your code
  • The commentator http//www.cenqua.com/commentator
    /

15
End of lecture on 12 April 2005
16
Back to theory again
17
More on probabilities
  • Let E be an event in a sample space S. The
    probability of the complement of E is
  • The book calls this Theorem 1
  • Recall the probability for getting a royal flush
    is 0.0000015
  • The probability of not getting a royal flush is
    1-0.0000015 or 0.9999985
  • Recall the probability for getting a four of a
    kind is 0.00024
  • The probability of not getting a four of a kind
    is 1-0.00024 or 0.99976

18
Probability of the union of two events
  • Let E1 and E2 be events in sample space S
  • Then p(E1 U E2) p(E1) p(E2) p(E1 n E2)
  • Consider a Venn diagram dart-board

19
Probability of the union of two events
p(E1 U E2)
S
E1
E2
20
Probability of the union of two events
  • If you choose a number between 1 and 100, what is
    the probability that it is divisible by 2 or 5 or
    both?
  • Let n be the number chosen
  • p(2n) 50/100 (all the even numbers)
  • p(5n) 20/100
  • p(2n) and p(5n) p(10n) 10/100
  • p(2n) or p(5n) p(2n) p(5n) - p(10n)
  • 50/100 20/100 10/100
  • 3/5

21
When is gambling worth it?
  • This is a statistical analysis, not a
    moral/ethical discussion
  • What if you gamble 1, and have a ½ probability
    to win 10?
  • If you play 100 times, you will win (on average)
    50 of those times
  • Each play costs 1, each win yields 10
  • For 100 spent, you win (on average) 500
  • Average win is 5 (or 10 ½) per play for every
    1 spent
  • What if you gamble 1 and have a 1/100
    probability to win 10?
  • If you play 100 times, you will win (on average)
    1 of those times
  • Each play costs 1, each win yields 10
  • For 100 spent, you win (on average) 10
  • Average win is 0.10 (or 10 1/100) for every
    1 spent
  • One way to determine if gambling is worth it
  • probability of winning payout amount spent
  • Or p(winning) payout investment
  • Of course, this is a statistical measure

22
When is lotto worth it?
  • Many lotto games you have to choose 6 numbers
    from 1 to 48
  • Total possible choices is C(48,6) 12,271,512
  • Total possible winning numbers is C(6,6) 1
  • Probability of winning is 0.0000000814
  • Or 1 in 12.3 million
  • If you invest 1 per ticket, it is only
    statistically worth it if the payout is gt 12.3
    million
  • As, on the average you will only make money
    that way
  • Of course, average will require trillions of
    lotto plays

23
Lots of piercings
  • This may be a bit disturbing

24
Blackjack
25
Blackjack
  • You are initially dealt two cards
  • 10, J, Q and K all count as 10
  • Ace is EITHER 1 or 11 (players choice)
  • You can opt to receive more cards (a hit)
  • You want to get as close to 21 as you can
  • If you go over, you lose (a bust)
  • You play against the house
  • If the house has a higher score than you, then
    you lose

26
Blackjack table
27
Blackjack probabilities
  • Getting 21 on the first two cards is called a
    blackjack
  • Or a natural 21
  • Assume there is only 1 deck of cards
  • Possible blackjack blackjack hands
  • First card is an A, second card is a 10, J, Q, or
    K
  • 4/52 for Ace, 16/51 for the ten card
  • (416)/(5251) 0.0241 (or about 1 in 41)
  • First card is a 10, J, Q, or K second card is an
    A
  • 16/52 for the ten card, 4/51 for Ace
  • (164)/(5251) 0.0241 (or about 1 in 41)
  • Total chance of getting a blackjack is the sum of
    the two
  • p 0.0483, or about 1 in 21
  • How appropriate!
  • More specifically, its 1 in 20.72

28
Blackjack probabilities
  • Another way to get 20.72
  • There are C(52,2) 1,326 possible initial
    blackjack hands
  • Possible blackjack blackjack hands
  • Pick your Ace C(4,1)
  • Pick your 10 card C(16,1)
  • Total possibilities is the product of the two
    (64)
  • Probability is 64/1,326 20.72

29
Blackjack probabilities
  • Getting 21 on the first two cards is called a
    blackjack
  • Assume there is an infinite deck of cards
  • So many that the probably of getting a given card
    is not affected by any cards on the table
  • Possible blackjack blackjack hands
  • First card is an A, second card is a 10, J, Q, or
    K
  • 4/52 for Ace, 16/52 for second part
  • (416)/(5252) 0.0236 (or about 1 in 42)
  • First card is a 10, J, Q, or K second card is an
    A
  • 16/52 for first part, 4/52 for Ace
  • (164)/(5252) 0.0236 (or about 1 in 42)
  • Total chance of getting a blackjack is the sum
  • p 0.0473, or about 1 in 21
  • More specifically, its 1 in 21.13 (vs. 20.72)
  • In reality, most casinos use shoes of 6-8 decks
    for this reason
  • It slightly lowers the players chances of
    getting a blackjack
  • And prevents people from counting the cards

30
So always use a single deck, right?
  • Most people think that a single-deck blackjack
    table is better, as the players odds increase
  • And you can try to count the cards
  • But its usually not the case!
  • Normal rules have a 32 payout for a blackjack
  • If you bet 100, you get your 100 back plus 3/2
    100, or 150 additional
  • Most single-deck tables have a 65 payout
  • You get your 100 back plus 6/5 100 or 120
    additional
  • This lowered benefit of being able to count the
    cards OUTWEIGHS the benefit of the single deck!
  • And thus the benefit of counting the cards
  • You cannot win money on a 65 blackjack table
    that uses 1 deck
  • Remember, the house always wins

31
Blackjack probabilities when to hold
  • House usually holds on a 17
  • What is the chance of a bust if you draw on a 17?
    16? 15?
  • Assume all cards have equal probability
  • Bust on a draw on a 18
  • 4 or above will bust thats 10 (of 13) cards
    that will bust
  • 10/13 0.769 probability to bust
  • Bust on a draw on a 17
  • 5 or above will bust 9/13 0.692 probability to
    bust
  • Bust on a draw on a 16
  • 6 or above will bust 8/13 0.615 probability to
    bust
  • Bust on a draw on a 15
  • 7 or above will bust 7/13 0.538 probability to
    bust
  • Bust on a draw on a 14
  • 8 or above will bust 6/13 0.462 probability to
    bust

32
Buying (blackjack) insurance
  • If the dealers visible card is an Ace, the
    player can buy insurance against the dealer
    having a blackjack
  • There are then two bets going the original bet
    and the insurance bet
  • If the dealer has blackjack, you lose your
    original bet, but your insurance bet pays 2-to-1
  • So you get twice what you paid in insurance back
  • Note that if the player also has a blackjack,
    its a push
  • If the dealer does not have blackjack, you lose
    your insurance bet, but your original bet
    proceeds normal
  • Is this insurance worth it?

33
Buying (blackjack) insurance
  • If the dealer shows an Ace, there is a 4/13
    0.308 probability that they have a blackjack
  • Assuming an infinite deck of cards
  • Any one of the 10 cards will cause a blackjack
  • If you bought insurance 1,000 times, it would be
    used 308 (on average) of those times
  • Lets say you paid 1 each time for the insurance
  • The payout on each is 2-to-1, thus you get 2
    back when you use your insurance
  • Thus, you get 2308 616 back for your 1,000
    spent
  • Or, using the formula p(winning) payout
    investment
  • 0.308 2 1
  • 0.616 1
  • Thus, its not worth it
  • Buying insurance is considered a very poor option
    for the player
  • Hence, almost every casino offers it

34
Blackjack strategy
  • These tables tell you the best move to do on each
    hand
  • The odds are still (slightly) in the houses
    favor
  • The house always wins

35
Why counting cards doesnt work well
  • If you make two or three mistakes an hour, you
    lose any advantage
  • And, in fact, cause a disadvantage!
  • You lose lots of money learning to count cards
  • Then, once you can do so, you are banned from the
    casinos

36
As seen ina casino
  • This wheel is spun if
  • You get a natural blackjack
  • You place 1 on the spin the wheel square
  • You lose the dollar either way
  • You win the amount shown on the wheel

37
Is it worth it to place 1 on the square?
  • The amounts on the wheel are
  • 30, 1000, 11, 20, 16, 40, 15, 10, 50, 12, 25, 14
  • Average is 103.58
  • Chance of a natural blackjack
  • p 0.0473, or 1 in 21.13
  • So use the formula
  • p(winning) payout investment
  • 0.0473 103.58 1
  • 4.90 1
  • But the house always wins! So what happened?

38
As seen ina casino
  • Note that not all amounts have an equal chance of
    winning
  • There are 2 spots to win 15
  • There is ONE spot to win 1,000
  • Etc.

39
Back to the drawing board
  • If you weight each spot by the amount it can
    win, you get 1609 for 30 spots
  • Thats an average of 53.63 per spot
  • So use the formula
  • p(winning) payout investment
  • 0.0473 53.63 1
  • 2.54 1
  • Still not there yet

40
My theory
  • I think the wheel is weighted so the 1,000 side
    of the wheel is heavy and thus wont be chosen
  • As the chooser is at the top
  • But I never saw it spin, so I cant say for sure
  • Take the 1,000 out of the 30 spot discussion of
    the last slide
  • That leaves 609 for 29 spots
  • Or 21.00 per spot
  • So use the formula
  • p(winning) payout investment
  • 0.0473 21 1
  • 0.9933 1
  • And Im probably still missing something here
  • Remember that the house always wins!

41
Quick survey
  • I felt I understood Blackjack probability
  • Very well
  • With some review, Ill be good
  • Not really
  • Not at all

42
Quick survey
  • If I was going to spend money gambling, would I
    choose Blackjack?
  • Definitely a way to make money
  • Perhaps
  • Probably not
  • Definitely not its a way to lose money

43
Todays dose of demotivators
44
Roulette
45
Roulette
  • A wheel with 38 spots is spun
  • Spots are numbered 1-36, 0, and 00
  • European casinos dont have the 00
  • A ball drops into one of the 38 spots
  • A bet is placed as to which spot or spots the
    ball will fall into
  • Money is then paid out if the ball lands in the
    spot(s) you bet upon

46
The Roulette table
47
The Roulette table
  • Bets can be placed on
  • A single number
  • Two numbers
  • Four numbers
  • All even numbers
  • All odd numbers
  • The first 18 nums
  • Red numbers

Probability 1/38 2/38 4/38 18/38 18/38 18/38 18/
38
48
The Roulette table
  • Bets can be placed on
  • A single number
  • Two numbers
  • Four numbers
  • All even numbers
  • All odd numbers
  • The first 18 nums
  • Red numbers

Probability 1/38 2/38 4/38 18/38 18/38 18/38 18/
38
Payout 36x 18x 9x 2x 2x 2x 2x
49
Roulette
  • It has been proven that proven that no
    advantageous strategies exist
  • Including
  • Learning the wheels biases
  • Casinos regularly balance their Roulette wheels
  • Martingale betting strategy
  • Where you double your bet each time (thus making
    up for all previous losses)
  • It still wont work!
  • You cant double your money forever
  • It could easily take 50 times to achieve finally
    win
  • If you start with 1, then you must put in 1250
    1,125,899,906,842,624 to win this way!
  • Thats 1 quadrillion
  • See http//en.wikipedia.org/wiki/Martingale_(roule
    tte_system) for more info

50
Quick survey
  • I felt I understood Roulette probability
  • Very well
  • With some review, Ill be good
  • Not really
  • Not at all

51
Quick survey
  • If I was going to spend money gambling, would I
    choose Roulette?
  • Definitely a way to make money
  • Perhaps
  • Probably not
  • Definitely not its a way to lose money

52
Monty Hall Paradox
53
Whats behind door number three?
  • The Monty Hall problem paradox
  • Consider a game show where a prize (a car) is
    behind one of three doors
  • The other two doors do not have prizes (goats
    instead)
  • After picking one of the doors, the host (Monty
    Hall) opens a different door to show you that the
    door he opened is not the prize
  • Do you change your decision?
  • Your initial probability to win (i.e. pick the
    right door) is 1/3
  • What is your chance of winning if you change your
    choice after Monty opens a wrong door?
  • After Monty opens a wrong door, if you change
    your choice, your chance of winning is 2/3
  • Thus, your chance of winning doubles if you
    change
  • Huh?

54
End of lecture on 14 April 2005
  • Although I want to start 1 slide back

55
Dealing cards
  • Consider a dealt hand of cards
  • Assume they have not been seen yet
  • What is the chance of drawing a flush?
  • Does that chance change if I speak words after
    the experiment has completed?
  • Does that chance change if I tell you more info
    about whats in the deck?
  • No!
  • Words spoken after an experiment has completed do
    not change the chance of an event happening by
    that experiment
  • No matter what is said

56
Whats behind door number one hundred?
  • Consider 100 doors
  • You choose one
  • Monty opens 98 wrong doors
  • Do you switch?
  • Your initial chance of being right is 1/100
  • Right before your switch, your chance of being
    right is still 1/100
  • Just because you know more info about the other
    doors doesnt change your chances
  • You didnt know this info beforehand!
  • Your final chance of being right is 99/100 if you
    switch
  • You have two choices your original door and the
    new door
  • The original door still has 1/100 chance of being
    right
  • Thus, the new door has 99/100 chance of being
    right
  • The 98 doors that were opened were not chosen at
    random!
  • Monty Hall knows which door the car is behind
  • Reference http//en.wikipedia.org/wiki/Monty_Hall
    _problem

57
A bit more theory
58
An aside probability of multiple events
  • Assume you have a 5/6 chance for an event to
    happen
  • Rolling a 1-5 on a die, for example
  • Whats the chance of that event happening twice
    in a row?
  • Cases
  • Event happening neither time 1/6 1/6 1/36
  • Event happening first time 1/6 5/6 5/36
  • Event happening second time 5/6 1/6 5/36
  • Event happening both times 5/6 5/6 25/36
  • For an event to happen twice, the probability is
    the product of the individual probabilities

59
An aside probability of multiple events
  • Assume you have a 5/6 chance for an event to
    happen
  • Rolling a 1-5 on a die, for example
  • Whats the chance of that event happening at
    least once?
  • Cases
  • Event happening neither time 1/6 1/6 1/36
  • Event happening first time 1/6 5/6 5/36
  • Event happening second time 5/6 1/6 5/36
  • Event happening both times 5/6 5/6 25/36
  • Its 35/36!
  • For an event to happen at least once, its 1
    minus the probability of it never happening
  • Or 1 minus the compliment of it never happening

60
Probability vs. odds
  • Consider an event that has a 1 in 3 chance of
    happening
  • Probability is 0.333
  • Which is a 1 in 3 chance
  • Or 21 odds
  • Meaning if you play it 3 (21) times, you will
    lose 2 times for every 1 time you win
  • This, if you have xy odds, you probability is
    y/(xy)
  • The y is usually 1, and the x is scaled
    appropriately
  • For example 2.21
  • That probability is 1/(12.2) 1/3.2 0.313
  • 11 odds means that you will lose as many times
    as you win
  • I think I presented this wrong last time

61
More demotivators
62
Texas Holdem
  • Reference
  • http//teamfu.freeshell.org/poker_odds.html

63
Texas Holdem
  • The most popular poker variant today
  • Every player starts with two face down cards
  • Called hole or pocket cards
  • Hence the term ace in the hole
  • Five cards are placed in the center of the table
  • These are common cards, shared by every player
  • Initially they are placed face down
  • The first 3 cards are then turned face up, then
    the fourth card, then the fifth card
  • You can bet between the card turns
  • You try to make the best 5-card hand of the seven
    cards available to you
  • Your two hole cards and the 5 common cards

64
Texas Holdem
  • Hand progression
  • Note that anybody can fold at any time
  • Cards are dealt 2 hole cards per player
  • 5 community cards are dealt face down (how this
    is done varies)
  • Bets are placed based on your pocket cards
  • The first three community cards are turned over
    (or dealt)
  • Called the flop
  • Bets are placed
  • The next community card is turned over (or dealt)
  • Called the turn
  • Bets are placed
  • The last community card is turned over (or dealt)
  • Called the river
  • Bets are placed
  • Hands are then shown to determine who wins the pot

65
Texas Holdem terminology
  • Pocket your two face-down cards
  • Pocket pair when you have a pair in your pocket
  • Flop when the initial 3 community cards are
    shown
  • Turn when the 4th community card is shown
  • River when the 5th community card is shown
  • Nuts (or nut hand) the best possible hand that
    you can hope for with the cards you have and the
    not-yet-shown cards
  • Outs the number of cards you need to achieve
    your nut hand
  • Pot the money in the center that is being bet
    upon
  • Fold when you stop betting on the current hand
  • Call when you match the current bet

66
Odds of a Texas Holdem hand
  • Pick any poker hand
  • Well choose a royal flush
  • There are 4/2,598,960 possibilities
  • Chance of getting that in a Texas Holdem game
  • Choose your royal flush C(4,1)
  • Choose the remaining two cards C(47,2)
  • Result is 4324 possibilities
  • Or 1 in 601
  • Or probability of 0.0017
  • Well, not really, but close enough for this slide
    set
  • This is much more common than 1 in 649,740 for
    stud poker!
  • But nobody does Texas Holdem probability that
    way, though

67
An example of a hand usingTexas Holdem
terminology
  • Your pocket hand is J?, 4?
  • The flop shows 2?, 7?, K?
  • There are two cards still to be revealed (the
    turn and the river)
  • Your nut hand is going to be a flush
  • As thats the best hand you can (realistically)
    hope for with the cards you have
  • There are 9 cards that will allow you to achieve
    your flush
  • Any other heart
  • Thus, you have 9 outs

68
Continuing with that example
  • There are 47 unknown cards
  • The two unturned cards, the other players cards,
    and the rest of the deck
  • There are 9 outs (the other 9 hearts)
  • Whats the chance you will get your flush?
  • Rephrased whats the chance that you will get an
    out on at least one of the remaining cards?
  • For an event to happen at least once, its 1
    minus the probability of it never happening
  • Chances
  • Out on neither turn nor river 38/47 37/46
    0.65
  • Out on turn only 9/47 38/46 0.16
  • Out on river only 38/47 9/46 0.16
  • Out on both turn and river 9/47 8/46 0.03
  • All the chances add up to 1, as expected
  • Chance of getting at least 1 out is 1 minus the
    chance of not getting any outs
  • Or 1-0.65 0.35
  • Or 1 in 2.9
  • Or 1.91

69
Continuing with that example
  • What if you miss your out on the turn
  • Then what is the chance you will hit the out on
    the river?
  • There are 46 unknown cards
  • The two unturned cards, the other players cards,
    and the rest of the deck
  • There are still 9 outs (the other 9 hearts)
  • Whats the chance you will get your flush?
  • 9/46 0.20
  • Or 1 in 5.1
  • Or 4.11
  • The odds have significantly decreased!
  • These odds are called the hand odds
  • I.e. the chance that you will get your nut hand

70
Hand odds vs. pot odds
  • So far weve seen the odds of getting a given
    hand
  • Assume that you are playing with only one other
    person
  • If you win the pot, you get a payout of two times
    what you invested
  • As you each put in half the pot
  • This is called the pot odds
  • Well, almost well see more about pot odds in a
    bit
  • After the flop, assume that the pot has 20, the
    bet is 10, and thus the call is 10
  • Payout (if you match the bet and then win) is 40
  • Your investment is 10
  • Your pot odds are 3010 (not 4010, as your call
    is not considered as part of the odds)
  • Or 31
  • When is it worth it to continue?
  • What if you have 31 hand odds (0.25
    probability)?
  • What if you have 21 hand odds (0.33
    probability)?
  • What if you have 11 hand odds (0.50
    probability)?
  • Note that we did not consider the probabilities
    before the flop

71
Hand odds vs. pot odds
  • Pot payout is 40, investment is 10
  • Use the formula p(winning) payout investment
  • When is it worth it to continue?
  • We are assuming that your nut hand will win
  • A safe assumption for a flush, but not a
    tautology!
  • What if you have 31 hand odds (0.25
    probability)?
  • 0.25 40 10
  • 10 10
  • If you pursue this hand, you will make as much as
    you lose
  • What if you have 21 hand odds (0.33
    probability)?
  • 0.33 40 10
  • 13.33 gt 10
  • Definitely worth it to continue!
  • What if you have 11 hand odds (0.50
    probability)?
  • 0.5 40 10
  • 20 gt 10
  • Definitely worth it to continue!

72
Pot odds
  • Pot odds is the ratio of the amount in the pot to
    the amount you have to call
  • In other words, we dont consider any previously
    invested money
  • Only the current amount in the pot and the
    current amount of the call
  • The reason is that you are considering each bet
    as it is placed, not considering all of your
    (past and present) bets together
  • If you considered all the amounts invested, you
    must then consider the probabilities at each
    point that you invested money
  • Instead, we just take a look at each investment
    individually
  • Technically, these are mathematically equal, but
    the latter is much easier (and thus more
    realistic to do in a game)
  • In the last example, the pot odds were 31
  • As there was 30 in the pot, and the call was 10
  • Even though you invested some money previously

73
Another take on pot odds
  • Assume the pot is 100, and the call is 10
  • Thus, the pot odds are 10010 or 101
  • You invest 10, and get 110 if you win
  • Thus, you have to win 1 out of 11 times to break
    even
  • Or have odds of 101
  • If you have better odds, youll make money in the
    long run
  • If you have worse odds, youll lose money in the
    long run

74
Hand odds vs. pot odds
  • Pot is now 20, investment is 10
  • Pot odds are thus 21
  • Use the formula p(winning) payout investment
  • When is it worth it to continue?
  • What if you have 31 hand odds (0.25
    probability)?
  • 0.25 30 10
  • 7.50 lt 10
  • What if you have 21 hand odds (0.33
    probability)?
  • 0.33 30 10
  • 10 10
  • If you pursue this hand, you will make as much as
    you lose
  • What if you have 11 hand odds (0.50
    probability)?
  • 0.5 30 10
  • 15 gt 10
  • The only time it is worth it to continue is when
    the pot odds outweigh the hand odds
  • Meaning the first part of the pot odds is greater
    than the first part of the hand odds
  • If you do not follow this rule, you will lose
    money in the long run

75
Computing hand odds vs. pot odds
  • Consider the following hand progression
  • Your hand almost a flush (4 out of 5 cards of
    one suit)
  • Called a flush draw
  • Perhaps because one more draw can make it a flush
  • On the flop 5 pot, 10 bet and a 10 call
  • Your call match the bet or fold?
  • Pot odds 1.51
  • Hand odds 1.91 (or 0.35)
  • The pot odds do not outweigh the hand odds, so do
    not continue

76
Computing hand odds vs. pot odds
  • Consider the following hand progression
  • Your hand almost a flush (4 out of 5 cards of
    one suit)
  • Called a flush draw
  • On the flop now a 30 pot, 10 bet and a 10
    call
  • Your call match the bet or fold?
  • Pot odds 41
  • Hand odds 1.91 (or 0.35)
  • The pot odds do outweigh the hand odds, so do
    continue

77
Quick survey
  • I felt I understood Texas Holdem probability
  • Very well
  • With some review, Ill be good
  • Not really
  • Not at all

78
Quick survey
  • If I was going to spend money gambling, would I
    choose Texas Holdem?
  • Definitely a way to make money
  • Perhaps
  • Probably not
  • Definitely not its a way to lose money

79
For next semester
  • Other games I should go over?

80
Quick survey
  • I felt I understood the material in this slide
    set
  • Very well
  • With some review, Ill be good
  • Not really
  • Not at all

81
Quick survey
  • The pace of the lecture for this slide set was
  • Fast
  • About right
  • A little slow
  • Too slow

82
Quick survey
  • How interesting was the material in this slide
    set? Be honest!
  • Wow! That was SOOOOOO cool!
  • Somewhat interesting
  • Rather borting
  • Zzzzzzzzzzz

83
Todays demotivators
84
End of lecture on 19 April 2005
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