1 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.

Slides:



Advertisements
Similar presentations
What are your Chances? by Laurie Townsend.
Advertisements

Advanced Strategies for Craps and Poker Billy J. Duke Joel A. Johnson.
Discrete Probability Rosen 5.1.
Combinatorics & Probability Section 3.4. Which Counting Technique? If the problem involves more than one category, use the Fundamental Principle of Counting.
Combinations Examples
Counting and Gambling Section 4Objectives: Understand how to use the fundamental counting principle to analyze counting problems that occur in gambling.
Jacqueline Wroughton Joseph Nolan Northern Kentucky University.
Mock Objects. Unit-testing and TDD are challenging They require some effort to: – Write a test for a small functionality – Refactor production code and.
Probability and Casino Games
Index Student Activity 1: Questions to familiarise students with the
4/16/2015 MATH 224 – Discrete Mathematics Counting Basic counting techniques are important in many aspects of computer science. For example, consider the.
Chapter 8 Counting Principles: Further Probability Topics Section 8.3 Probability Applications of Counting Principles.
Introduction to Discrete Probability
Dealer Comm Hand Player makes Ante bet and optional Bonus bet. Five cards are dealt to each player from the shuffler. Five cards are dealt from the shuffler.
Probability – Page 1CSCI 1900 – Discrete Structures CSCI 1900 Discrete Structures Probability Reading: Kolman, Section 3.4.
Chapter 3b Counting Rules. Permutations  How many ways can 5 students in a class of 30 be assigned to the front row in the seating chart?  There are.
1 Discrete Math CS 280 Prof. Bart Selman Module Probability --- Part a) Introduction.
Midterm Review Solutions Math 210G-04, Spring 2011.
1 Probability Parts of life are uncertain. Using notions of probability provide a way to deal with the uncertainty.
1 Section 5.1 Discrete Probability. 2 LaPlace’s definition of probability Number of successful outcomes divided by the number of possible outcomes This.
Intro to Probability & Games
Laws of Probability What is the probability of throwing a pair of dice and obtaining a 5 or a 7? These are mutually exclusive events. You can’t throw.
Probability Using Permutations and Combinations
The Poker Squares Challenge Todd W. Neller. What is the Poker Squares Challenge? A semester-long contest where Gettysburg College students (individuals.
Permutations and Combinations
1 9/8/2015 MATH 224 – Discrete Mathematics Basic finite probability is given by the formula, where |E| is the number of events and |S| is the total number.
Game Rules Rules define game objects and define allowable actions by the players.
1 9/23/2015 MATH 224 – Discrete Mathematics Basic finite probability is given by the formula, where |E| is the number of events and |S| is the total number.
Probability – Models for random phenomena
Introduction for Rotarians
Poker Solutions.
Game Rules Rules define game objects and define allowable actions by the players.
Counting. Techniques for counting Rule 1 Suppose we carry out have a sets A 1, A 2, A 3, … and that any pair are mutually exclusive (i.e. A 1  A 2 =
3.8 Counting Techniques: Combinations. If you are dealt a hand in poker (5 cards), does it matter in which order the cards are dealt to you? A  K  J.
Advanced Mathematics Counting Techniques. Addition Rule Events (tasks) A and B are mutually exclusive (no common elements/outcomes) and n(A) = a, n(B)
Probability Permutations and Combinations.  Permutations are known as any arrangement of distinct objects in a particular _________. Permutations order.
Homework Homework due now. Reading: relations
Assignment 1. p2. 1. In a classical card game, we get 5 cards from a deck of 52. Find the probabilities of: (a) 1-pair (b) 2-pair (c) 3-of-a-kind (d)
 m C r =m!/r!(m-r)!  Property: m C r = m C (m-r)  Example: ◦ If you have 10 pens, all in different colors, and you want to bring two of them to class,
1 Introduction to Discrete Probability Rosen, section 5.1 CS/APMA 202 Aaron Bloomfield.
All In To put all the rest of your money into the pot.
Some other set notation We will use the notation to mean that e is an element of A. We will use the notation to mean that e is not an element of A.
Probability Bingo October 3, D Mathematics.
Probability and Counting Rules
Billion Dollar Baby Game Created By: Timmy Drzewinski Edwin McCracken.
CS Lecture 8 Developing Your Counting Muscles.
PROBABILITY What is the probability of flipping a head? There is a 1 in 2 chance – ½ = 0.5.
By: John Cook 11/06/2009 PTTE John Cook 3/4/2016.
Chance We will base on the frequency theory to study chances (or probability).
Probability and statistics - overview Introduction Basics of probability theory Events, probability, different types of probability Random variable, probability.
Texas Holdem A Poker Variant vs. Flop TurnRiver. How to Play Everyone is dealt 2 cards face down (Hole Cards) 5 Community Cards Best 5-Card Hand Wins.
Probability Intro. Coin toss u Toss two coins 10 times keeping track of the results (head/tails) u Now toss 3 coins 10 times u Make a chart of all the.
Arrangements and Selections (and how they may be counted)
Spring ‘10 Term Project Casino Game Overview
11.9: Solving Probability Problems by Using Combinations
Bell Ringer Damian thinks he can beat Mr. Haupt in a game of 5 card draw poker. Damian is dealt a full house, so he doesn’t discard any of his cards.
Sequential Placement Optimization Games: Poker Squares, Word Squares, and Take It Easy! Todd W. Neller Abstract: In this talk, we teach how to play “Poker.
How likely is it? Probability.
Unit 4 – Combinatorics and Probability Section 4
THE TEXAS HOLD’EM.
The Birds of a Feather Research Challenge
Probability of casino games
How to Count Things “There are three kinds of people in the world: those who can count and those who cannot.” 11/21/2018.
Permutation – The number of ways to ARRANGE ‘n’ items ‘r’ at
Probability Section 19 NOTE: We are skipping Section 18. 2/21/2019
   .
Term Project: Poker Game
Section 6.4 Counting and Combinations with Multiple Cases
Applied Combinatorics, 4th Ed. Alan Tucker
HOW TO PLAY POKER.
Presentation transcript:

1 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)

2

Game Night Project! -Work with a group of 3-4 -Keep in mind: you must take into account all the possibilities for each type of hand *If it helps, write out some combinations -You will have multiple combinations for every type of hand (remember to multiply them!) -Take into account the number and suit of each card 3

Recall from yesterday… Choice of card # for pair Choice of suits for pair Choice of card # for others Choice of suits for others

5 Poker probability: royal flush What is the chance of getting a royal flush? –That’s the cards 10, J, Q, K, and A of the same suit There are only 4 possible royal flushes, so 4 C 1. Possibilities for 5 cards: 52 C 5 = 2,598,960 Probability = 4/2,598,960 = –Or about 1 in 650,000

6 Poker probability: high card What is the chance of getting a high card hand? –A hand of cards ranked by the highest number Since the number showing for the cards must all be different, we have to pick 5 different numbers from a choice of 13 numbers. So, 13 C 5 Also, each card can have any of the four suits So, 4 C 1 * 4 C 1*4 C 1*4 C 1*4 C 1 Multiply everything together to get your possibilities! Then, divide by the total possible 5 hands in a deck to get your probability!

Some things to keep in mind as you work… -Does the hand involve having the same suit, same number, or both? -Once you’ve found the possibilities for what’s needed in a hand, what is left over for the remaining cards? (i.e.- in a 3 of a kind, you need to figure out how many 3 of a kinds you can get, but also have to account for the remaining 2 cards in the hand) -To find the probability, always divide your total possibilities for the hand by 52 C 5 !! 7

Poker hand odds The possible poker hands are (in increasing order): –Nothing1,302, –One pair1,098, –Two pair123, –Three of a kind54, –Straight10, –Flush5, –Full house3, –Four of a kind –Straight flush –Royal flush