Slide 1 Math 1520, Lecture 15

Similar documents
* Order Matters For Permutations * Section 4.6 Permutations MDM4U Jensen. Part 1: Factorial Investigation

Finite Math - Fall 2016

Finite Math Section 6_4 Solutions and Hints

* Order Matters For Permutations * Section 4.6 Permutations MDM4U Jensen. Part 1: Factorial Investigation

Section : Combinations and Permutations

Poker Hands. Christopher Hayes

Math 166: Topics in Contemporary Mathematics II

Slide 1 Math 1520, Lecture 13

Permutations and Combinations Section

Section 6.4 Permutations and Combinations: Part 1

{ a, b }, { a, c }, { b, c }

Permutations and Combinations. MATH 107: Finite Mathematics University of Louisville. March 3, 2014

Unit 2 Lesson 2 Permutations and Combinations

STAT 430/510 Probability

6.4 Permutations and Combinations

7.4 Permutations and Combinations

STAT 430/510 Probability Lecture 1: Counting-1

HOMEWORK ASSIGNMENT 5

Discrete Mathematics: Logic. Discrete Mathematics: Lecture 15: Counting

FOURTH LECTURE : SEPTEMBER 18, 2014

Section 5.4 Permutations and Combinations

6/24/14. The Poker Manipulation. The Counting Principle. MAFS.912.S-IC.1: Understand and evaluate random processes underlying statistical experiments

Section 5.4 Permutations and Combinations

Discrete Structures Lecture Permutations and Combinations

November 6, Chapter 8: Probability: The Mathematics of Chance

In this section, we will learn to. 1. Use the Multiplication Principle for Events. Cheesecake Factory. Outback Steakhouse. P.F. Chang s.

Section Summary. Permutations Combinations Combinatorial Proofs

Compound Probability. Set Theory. Basic Definitions

Counting Poker Hands

The study of probability is concerned with the likelihood of events occurring. Many situations can be analyzed using a simplified model of probability

Week in Review #5 ( , 3.1)

POKER (AN INTRODUCTION TO COUNTING)

Simple Counting Problems

CHAPTER 8 Additional Probability Topics

Sec$on Summary. Permutations Combinations Combinatorial Proofs

P a g e 1 HOW I LEARNED POKER HAND RANKINGS

Today s Topics. Sometimes when counting a set, we count the same item more than once

The Product Rule The Product Rule: A procedure can be broken down into a sequence of two tasks. There are n ways to do the first task and n

Block 1 - Sets and Basic Combinatorics. Main Topics in Block 1:

Elementary Combinatorics CE 311S

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College

Lesson A7 - Counting Techniques and Permutations. Learning Goals:

Chapter 2. Permutations and Combinations

CS100: DISCRETE STRUCTURES. Lecture 8 Counting - CH6

Discrete Structures for Computer Science

STAT 430/510 Probability Lecture 3: Space and Event; Sample Spaces with Equally Likely Outcomes

Permutations. Used when "ORDER MATTERS"

Contemporary Mathematics Math 1030 Sample Exam I Chapters Time Limit: 90 Minutes No Scratch Paper Calculator Allowed: Scientific

Math 3012 Applied Combinatorics Lecture 2

Permutations: The number of arrangements of n objects taken r at a time is. P (n, r) = n (n 1) (n r + 1) =

MATH 2420 Discrete Mathematics Lecture notes

Probability and Counting Techniques

NOTES ON SEPT 13-18, 2012

Finite Math B, Chapter 8 Test Review Name

Discussion : Independence 1.6: Counting. Qingyang Xue based on slides from Zack While February 7, University of Massachusetts Amherst

Mixed Counting Problems

Sec 5.1 The Basics of Counting

CS 237 Fall 2018, Homework SOLUTION

Finite Mathematics MAT 141: Chapter 8 Notes

Chapter 5 - Elementary Probability Theory

Math Week in Review #4

Introductory Probability

COUNTING PRINCIPLES; FURTHER PROBABILITY TOPICS

MATH 13150: Freshman Seminar Unit 4

Permutations (Part A)

CSE 312: Foundations of Computing II Quiz Section #2: Inclusion-Exclusion, Pigeonhole, Introduction to Probability (solutions)

Chapter 11: Probability and Counting Techniques

CISC-102 Fall 2017 Week 8

Discrete Structures for Computer Science

Math 475, Problem Set #3: Solutions

Math 42, Discrete Mathematics

Name: Exam 1. September 14, 2017

9.5 Counting Subsets of a Set: Combinations. Answers for Test Yourself

November 8, Chapter 8: Probability: The Mathematics of Chance

Mat 344F challenge set #2 Solutions

Strings. A string is a list of symbols in a particular order.

Poker: Further Issues in Probability. Poker I 1/29

Using a table: regular fine micro. red. green. The number of pens possible is the number of cells in the table: 3 2.

Counting (Enumerative Combinatorics) X. Zhang, Fordham Univ.

Chapter 7. Intro to Counting

Math 3338: Probability (Fall 2006)

JUST THE MATHS UNIT NUMBER PROBABILITY 2 (Permutations and combinations) A.J.Hobson

Unit on Permutations and Combinations (Counting Techniques)

Reading 14 : Counting

Lecture 1. Permutations and combinations, Pascal s triangle, learning to count

Problem Set 2. Counting

Combinations and Permutations

ACTIVITY 6.7 Selecting and Rearranging Things

We introduced the Counting Principle earlier in the chapter.

CISC 1400 Discrete Structures

Unit Nine Precalculus Practice Test Probability & Statistics. Name: Period: Date: NON-CALCULATOR SECTION

Counting Things Solutions

Elementary Combinatorics

MAT 155. Key Concept. Notation. Fundamental Counting. February 09, S4.7_3 Counting. Chapter 4 Probability

Permutations and Combinations

CHAPTER 5 BASIC CONCEPTS OF PERMUTATIONS AND COMBINATIONS

Suppose you are supposed to select and carry out oneof a collection of N tasks, and there are T K different ways to carry out task K.

1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building?

CS Project 1 Fall 2017

Combinations. April 14, 2006

Transcription:

Slide 1 Math 1520, Lecture 15 Formulas and applications for the number of permutations and the number of combinations of sets of elements are considered today. These are two very powerful techniques for counting the number of ways something can happen.

Slide 2 Factorial For any natural number n the symbols n! is read n factorial and is computed as n! = n (n 1) (n 2) 3 2 1 0! = 1 For example 0! = 1 1! = 1 2! = 2 1 = 2 3! = 3 2 1 = 6 4! = 4 3 2 1 = 24 5! = 5 4 3 2 1 = 120 6! = 6 5 4 3 2 1 = 720 7! = 7 6 5 4 3 2 1 = 5040 8! = 8 7 6 5 4 3 2 1 = 40320

Slide 3 iclicker Question Find the value of 10! 8! A. 40320 without a calculator B. 5040 C. 90 D. No way

Answer to Question Find the value of 10! 8! A. 40320 B. 5040 C. 90 is the correct answer. D. No way without a calculator

Slide 4 Permutations (Part I) A permutation of a set of objects is an arrangement of these objects in a definite order. For example, the permutations of {a, b, c} are a, b, c a, c, b b, a, c b, c, a c, a, b c, b, a The number of permutations of a set of n objects is n! Explain why the answer is n! using the multiplication principle.

Slide 5 iclicker Question How many ways can a group of 8 baseball players be arranged in a batting order? A. 8 B. 8! C. 64 D. 100000000

Answer to Question How many ways can a group of 8 baseball players be arranged in a batting order? A. 8 B. 8! is the correct answer. C. 64 D. 100000000

Slide 6 Permutations (Part II) We frequently want to only arrange subsets of the objects in a larger set. For example, how many ways can we arrange 8 baseball players in a line up if they are to be chosen from a group of 13 possible players? For this problem There are 13 possible choices for the leadoff hitter. There are 12 possible choices for the second place hitter.... There are 6 possible choice for the 8th place hitter. So the answer is 13 12 11 10 9 8 5 6 We can write this answer as 13! 5! = 13! (13 8)! which leads to the general formula on the next slide.

Slide 7 Permutations (Part III) The first important formula to remember for this is The number of permutations of n distinct objects taken r at a time is P (n, r) = n! (n r)! 1. For example, how many three letter strings from the word T IGER can be formed? The second important formula to remember for this is a generalization of this formula Given a set of n objects in which n 1 are alike and of one kind, n 2 objects are alike and of another kind,..., and n m object are alike and of yet another kind, so that n 1 + n 2 + n 3 + + n m = n then the number of permutation of these n objects taken n at a time is n! n 1! n 2! n m! 1. For example, how many distinct ways can the word ANNAGRAM be written?

Slide 8 iclicker Question How many ways can 5 people boarding a bus be seated if the bus has eight vacant seats? A. 8! 5 B. 8! 5! C. 8! 3! 8! D. 5! 3!

Answer to Question How many ways can 5 people boarding a bus be seated if the bus has eight vacant seats? A. 8! 5 B. 8! 5! C. 8! is the correct answer. 3! 8! D. 5! 3!

Slide 9 iclicker Question A firm has 12 inquiries regarding new accounts. How many ways can these accounts be assigned to 4 salespeople, if each salesperson is to handle 3 accounts? 12! A. 4! 3! 12! B. 4! 4! 4! 12! C. 3! 3! 3! 3! 12! D. 4! 4! 4! 3! 3! 3! 3!

Answer to Question A firm has 12 inquiries regarding new accounts. How many ways can these accounts be assigned to 4 salespeople, if each salesperson is to handle 3 accounts? 12! A. 4! 3! 12! B. 4! 4! 4! 12! C. is the correct answer. 3! 3! 3! 3! 12! D. 4! 4! 4! 3! 3! 3! 3!

Slide 10 Combinations When making permutations, the order is important. If we don t care about the order, we call it a combination and need to use a different formula. The important formula for this situation is as follows. The number of combinations of n distinct objects taken r at a time is given by ( ) n n! C(n, r) = = where r n r r!(n r)! 1. How many ways can a panel of 12 jurors be formed from a pool of 30 prospective jurors? 2. How many five card poker hands are there? 3. Why does this formula work?

Slide 11 iclicker A flush in poker is 5 cards of the same suit, such that the cards are not in sequence. For example, A, 2, 3, 4, 5 of hearts and 10, J, Q, K, A of hearts are not flushes because they are straight flushes (or a royal flush). Question How many 5 card heart flushes are there? A. 13! 8! 13! B. 5!8! 13! C. 5!8! 13 13! D. 5!8! 10

Answer to Question How many 5 card heart flushes are there? A. 13! 8! 13! B. 5!8! 13! C. 5!8! 13 D. 13! 10 is the correct answer. 5!8!

Slide 12 Combinations or Permutations? When looking at a problem, to decide whether to use a combination or a permutation, the key question to ask yourself is: Is the order important? 1. If the order is important then use a permutation. 2. If the order is not important then use a combination.

Slide 13 iclicker Question How many different ways can 3 books be chosen from 10 books? A. 10! 3!7! B. 10! 3! C. 10! 7! D. 10! 21

Answer to Question How many different ways can 3 books be chosen from 10 books? A. 10! 3!7! B. 10! 3! C. 10! 7! D. 10! 21 is the correct answer.

Slide 14 iclicker Question How many different ways can 3 books be chosen from 10 books and lined up on a shelf from left to right? A. 10! 3!7! B. 10! 3! C. 10! 7! D. 10! 21

Answer to Question How many different ways can 3 books be chosen from 10 books and lined up on a shelf from left to right? 10! A. 3!7! B. 10! 3! C. 10! 7! D. 10! 21 is the correct answer.