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

Similar documents
Tree Diagrams and the Fundamental Counting Principle

CISC 1400 Discrete Structures

Course Learning Outcomes for Unit V

Finite Math - Fall 2016

Finite Math B, Chapter 8 Test Review Name

W = {Carrie (U)nderwood, Kelly (C)larkson, Chris (D)aughtry, Fantasia (B)arrino, and Clay (A)iken}

COUNTING AND PROBABILITY

Finite Mathematics MAT 141: Chapter 8 Notes

MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology

Section 5.4 Permutations and Combinations

Elementary Combinatorics

Fundamentals of Probability

Section 5.4 Permutations and Combinations

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

Fundamental Counting Principle

Introductory Probability

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

Exercises Exercises. 1. List all the permutations of {a, b, c}. 2. How many different permutations are there of the set {a, b, c, d, e, f, g}?

Section : Combinations and Permutations

Permutations and Combinations Problems

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

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

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

Honors Precalculus Chapter 9 Summary Basic Combinatorics

Math 166: Topics in Contemporary Mathematics II

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

Permutations and Combinations

7.4 Permutations and Combinations

Bayes stuff Red Cross and Blood Example

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

Simple Counting Problems

6. In how many different ways can you answer 10 multiple-choice questions if each question has five choices?

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

Probability and Counting Techniques

a) 2, 4, 8, 14, 22, b) 1, 5, 6, 10, 11, c) 3, 9, 21, 39, 63, d) 3, 0, 6, 15, 27, e) 3, 8, 13, 18, 23,

Introduction. Firstly however we must look at the Fundamental Principle of Counting (sometimes referred to as the multiplication rule) which states:

Lesson1.notebook July 07, 2013

Counting Methods and Probability

Additional Topics in Probability and Counting. Try It Yourself 1. The number of permutations of n distinct objects taken r at a time is

Sec. 4.2: Introducing Permutations and Factorial notation

Name: Spring P. Walston/A. Moore. Topic worksheet # assigned #completed Teacher s Signature Tree Diagrams FCP

A Probability Work Sheet

Topics to be covered

Permutations and Combinations

Permutations and Combinations

Solving Counting Problems

Probability Rules 3.3 & 3.4. Cathy Poliak, Ph.D. (Department of Mathematics 3.3 & 3.4 University of Houston )

CS 237 Fall 2018, Homework SOLUTION

Permutations. Used when "ORDER MATTERS"

Math 14 Lecture Notes Ch. 3.6

CPCS 222 Discrete Structures I Counting

Section Introduction to Sets

Math 1342 Exam 2 Review

Chapter 10A. a) How many labels for Product A are required? Solution: ABC ACB BCA BAC CAB CBA. There are 6 different possible labels.

12.1 The Fundamental Counting Principle and Permutations

7 5 Compound Events. March 23, Alg2 7.5B Notes on Monday.notebook

CIS 2033 Lecture 6, Spring 2017

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY

2. Combinatorics: the systematic study of counting. The Basic Principle of Counting (BPC)

Unit 5, Activity 1, The Counting Principle

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG

3 The multiplication rule/miscellaneous counting problems

9.1 Counting Principle and Permutations

April 10, ex) Draw a tree diagram of this situation.

STAT Statistics I Midterm Exam One. Good Luck!

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Math Week in Review #4

Unit 5 Radical Functions & Combinatorics

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

Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY

Chapter 11, Sets and Counting from Applied Finite Mathematics by Rupinder Sekhon was developed by OpenStax College, licensed by Rice University, and

Counting and Probability Math 2320

Skills we've learned. Skills we need. 7 3 Independent and Dependent Events. March 17, Alg2 Notes 7.3.notebook

3 The multiplication rule/miscellaneous counting problems

Empirical (or statistical) probability) is based on. The empirical probability of an event E is the frequency of event E.

Lesson A7 - Counting Techniques and Permutations. Learning Goals:

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

19.2 Permutations and Probability

Permutations and Combinations

Discrete Structures Lecture Permutations and Combinations

Mathematical Foundations HW 5 By 11:59pm, 12 Dec, 2015

Combinatorics. Chapter Permutations. Counting Problems

Ch 9.6 Counting, Permutations, and Combinations LESSONS

ACTIVITY 6.7 Selecting and Rearranging Things

Chapter 5 - Elementary Probability Theory

STATISTICAL COUNTING TECHNIQUES

BMT 2018 Combinatorics Test Solutions March 18, 2018

Permutations. and. Combinations

Name: Exam 1. September 14, 2017

Section 6.1 #16. Question: What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit?

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Test 2 Review Solutions

11.3B Warmup. 1. Expand: 2x. 2. Express the expansion of 2x. using combinations. 3. Simplify: a 2b a 2b

8.3 Probability with Permutations and Combinations

Sets, Venn Diagrams & Counting

1) 1) 2) 2) 3) 3) 4) 4) 5) 5) 6) 6) 7) 7) 8) 8) 9) 9) 10) 10) 11) 11) 12) 12)

For each person in your group, designate one of the following colors: Red, Blue, and Black. Next to the color, write your name in that color:

Math 1111 Math Exam Study Guide

Learning Objectives for Section 7.4 Permutations and Combinations. 7.4 Permutations and Combinations

Axiomatic Probability

Transcription:

Counting Methods: Example: A pen has tip options of regular tip, fine tip, or micro tip, and it has ink color options of red ink or green ink. How many different pens are possible? Using a table: regular fine micro red green The number of pens possible is the number of cells in the table: 3 2.

Using a Tree Diagram: regular red green red fine green red micro green The number of pens possible is the number of branch tips on the right: 3 2.

The Fundamental Counting Principle: If a sequence of decisions is to be made, then the number of different ways of making all the decisions is the product of the number of options for each decision. Examples: 1. A meal consists of 1 of 8 appetizers, 1 of 10 entrees, and 1 of 5 desserts. How many different meals are possible? 2. In a race with 5 horses, how many different first, second, and third place finishes are possible?

3. In a certain small state, license plates consist of three letters followed by two digits. a) How many different plates are possible? b) How many if letters can t repeat? c) How many if digits can t repeat? d) How many if no repeats?

Permutations: A permutation is an arrangement of objects in a particular order. Example: Find all the permutations of the objects a,b,c of size 2. b ab a c ac There are 6 permutations of size 2 from the a ba 3 objects. If we just wanted to know how b c bc many, we could have used the Fundamental Counting Principle. c a ca b cb

In general, the number of permutations of size r from n objects is abbreviated as n. So far, we know that 3 P 2 6. There s a nice formula for the value of n P r in general, but it involves things called factorials. P r Factorials: 1 2 2 1 or 1 2 3 1 n! n n n By special definition, 0! 1. So 1! 1. 2! 21 2 3! 321 6 4! 4321 43! 46 24 5! 54! 524 120 6! 65! 6120 720 n! n n

n P r n! n r! Let s check it out for 3 P 2, which we already know is equal to 6. Examples: P 3 2 3! 3! 6 6 3 2! 1! 1 1. Five solo singers are to perform their acts at a nightclub on Saturday night. How many different orders of their appearances are possible? 5P 5 Or Fundamental Counting Principle

2. From a group of 6 people, a president, vice-president, and secretary will be selected, how many different selections are possible? 6P 3 Or Fundamental Counting Principle 3. In a race with 8 horses, how many different first, second, and third place finishes are possible? 8P 3 Or Fundamental Counting Principle

Combinations: A combination is a selection of objects without regard to order, i.e. a subset. Example: Find all the combinations of the objects a,b,c of size 2. a b c a ab ac ba ab, ac, There are 6 permutations of size 2 from the 3 objects, but only 3 combinations of size 2 from the 3 b c bc bc, objects. c a ca b cb

In general, the number of combinations of size r from n objects is abbreviated as n 6 3P2 C r. So far, we know that 3 C 2 3, and 3C2 3. This is true in general, and 2 2! leads to a nice formula for n C r. Examples: n C r n! r! n r! 1. A three-person committee is to be selected from a group of 10 people. How many different committees are possible? 2. In a certain lottery, you must select 6 numbers from the numbers 1-50. How many different lottery selections are possible?

3. A group consists of 7 men and 8 women. A committee of 4 people will be selected. a) How many different 4-person committees are possible? b) How many different 4-person committees consisting of 4 women are possible? c) How many different 4-person committees consisting of 3 women and 1 man are possible? d) How many different 4-person committees consisting of 2 women and 2 men are possible? e) How many different 4-person committees have at least 1 man?

Finding Probabilities Using Counting Techniques: In the case of the equally likely assumption, PE n E. n S Examples: 1. Allen, Bob, Carl, and David will be seated in a row of 4 chairs at random. a) How many different ways can they be seated? b) How many different ways can Carl be seated in the first chair and Allen in the fourth chair? c) What s the probability that Carl will be seated in the first chair and Allen in the fourth chair?

2. A group consists of 4 men and 5 women. Three people will be selected at random to attend a conference. a) How many different selections of 3 people from the group are possible? b) What s the probability that the 3 people selected are all women? c) What s the probability that the 3 people selected are all men? d) What s the probability that the 3 people selected will consist of 2 women and 1 man?

3. Three cards will be randomly selected from a 52-card deck without replacement. a) What s the probability that it will consist of all hearts? b) What s the probability that it will consist of exactly 2 aces? c) What s the probability that it will consist of 2 aces and a king?