Math 14 Lecture Notes Ch. 3.6

Size: px
Start display at page:

Download "Math 14 Lecture Notes Ch. 3.6"

Transcription

1 Math Lecture Notes h... ounting Rules xample : Suppose a lottery game designer wants to list all possible outcomes of the following sequences of events: a. tossing a coin once and rolling a -sided die once omplete the tree diagram branch labels and list the outcomes in the sample space. Outcomes Number of outcomes of tossing a coin: Number of outcomes of rolling a -sided die: Number of outcomes in this sample space: = b. tossing a coin times. Outcomes Number of outcomes of tossing a coin: Number of outcomes of tossing a coin: Number of outcomes of tossing a coin: Number of outcomes in this sample space: = Page of

2 Math Lecture Notes h.. To find certain probabilities, we don t need a list of all outcomes in the event and sample spaces, but we do need to know the number of outcomes in each. The examples on the previous page illustrate the following principle. undamental ounting Principle In a sequence of n events in which the first one has k possibilities and the second event has k possibilities, and so forth, the total number of possibilities of the sequence will be k k k! k n xample : Use the fundamental counting principle to determine the number of student classifications according to gender (male, female), academic level (high school, freshman, sophomore), and enrollment in statistics (enrolled, not enrolled). ender male female cademic level high school freshman sophomore nrollment in statistics enrolled not enrolled = xample : Use the fundamental counting principle to determine the number of license plates that can be made using one digit followed by letters, followed by digits st nd rd th th th th N O P Q R S T H U I V J W K X L Y M Z N O P Q R S T H U I V J W K X L Y M Z N O P Q R S T H U I V J W K X L Y M Z = xample : Use the fundamental counting principle to determine the number of distinct codons that can be formed from the nucleotides,, U,, and, taken at a time. Page of

3 Math Lecture Notes h.. Page of xample : Use the fundamental counting principle to determine the number of cell phone customers that can be served if the area code and first three digits must be or () xxxx or () - xxxx Total st nd rd th st nd rd th + = xample : the number of -digit I numbers that can be made if no digit can be repeated st nd rd th th (take (take (take (take = xample : the number of -digit I numbers if no digit can be repeated st nd rd th th th th th th th (take (take (take (take (take (take (take (take (take =

4 Math Lecture Notes h.. Suppose we had a set of distinct symbols and wanted to find the number of I numbers that could be made if no repeats are allowed. We would need to calculate!. It is cumbersome to write this in its entirety. Thus, mathematicians have created a shorthand called factorial notation. We write! =! (! is read as factorial) actorial notation will be used extensively in our work in permutations and combinations. Note: We define! =. The previous problem of finding the number of -digit I numbers for which no repeats are allowed is an example of a permutation. It is the number of possible arrangements of digits in a specific order. g In general, a permutation is an arrangement of n objects in a specific order. xample : Suppose a rancher has five horse and five stalls. How many ways can the rancher place the horses into the stalls? Let s call the horses,,,, and. st stall nd stall rd stall th stall th stall (take (take (take (take = There are! = = ways to place the horses. Page of

5 Math Lecture Notes h.. xample : Suppose there are only stalls. How many ways can we choose from the horses to place them into stalls? st stall nd stall rd stall (take (take = xample : How many ways can we choose horses from to place them into stalls? (We will continue to name them using consecutive letters.) st stall nd stall rd stall H I J H I J (take H I J (take = xample : How many ways can we choose horses from to place them in stalls? st stall nd stall rd stall th stall th stall th stall (take (take (take (take (take = Page of

6 Math Lecture Notes h.. Notice that = =!! =! ( )! and = =!! =! ( )! and = =!! =! ( )!. We can use this emerging pattern to write a formula for finding arrangements of n objects taken r at a time. Permutation Rule The arrangement of n objects in a specific order using r objects at a time is called a permutation of n objects taken r objects at a time. It is written as n P r, and the formula is n! np r = (n r)! xample : Use the permutation rule to determine the number of distinct permutations possible of a padlock in which numbers from, no repetitions, that can be used to form the code to unlock the padlock. Page of

7 Math Lecture Notes h.. xample : Let's revisit our horses. Suppose we want to select of them to turn out into a pasture. How many ways can we select of the horses for this purpose? If we were placing them in stalls, we would use the formula! P = ( )! =! = = =.! However, the formula assumes that the order in which the selection is made matters. Let's list the permutations. In choosing of the horses to turn out into the pasture, we count the same as, the same as, the same as, and so on. Thus, there are = ways to choose from horses, at a time without regard to order. We call this kind of selection a combination. g combination is a selection of objects without regard to order. Let's develop a formula for finding combinations of n objects selected r at a time. xample : How many ways can we choose horses at a time without regard to order? There are P = permutations of choosing horses at a time if order matters. Since order does not matter, we divide out the duplicates. ut how many duplicates do we have when choosing at a time? Here is a list of the permutations. Notice that the arrangements in each column all represent the permutations of objects! taken at a time. ach column contains P = ( )! =!! =! =! To find the number of ways to choose horses at a time without regard to order, we should divide by what number? Page of

8 Math Lecture Notes h.. xample : How many ways can we choose horses at a time without regard to order? There are P = permutations of choosing horses at a time if order matters. Order does not matter, so we divide out the duplicates, P = r!. Let s develop a formula now. We will be using the notation n r to represent the number of combinations of choosing n objects r at a time. We have found that n r = n P r r! = n! (n r)! r!= n! (n r)!r! ombination Rule The number of selections possible of r objects chosen from n objects is called a combination of n objects taken r objects at a time. It is written as n r, and the formula is n! n r = (n r)!r! xample : Use the combination rule to determine how many ways candies can be selected from a dish of candies if order is to be disregarded. xample : Use the combination rule to determine how many ways can a jury of women and men be selected from a pool of women and men? Page of

9 Math Lecture Notes h.. ombinations and Permutations What's the ifference? In nglish we use the word "combination" loosely, without thinking if the order of things is important. In other words: "My fruit salad is a combination of apples, grapes and bananas" We don't care what order the fruits are in, they could also be "bananas, grapes and apples" or "grapes, apples and bananas", its the same fruit salad. "The combination to the safe was ". Now we do care about the order. "" would not work, nor would "". It has to be exactly --. So, in Mathematics we use more precise language: If the order doesn't matter, it is a ombination. If the order does matter it is a Permutation. In other words: Permutation is an ordered ombination. Label each as Permutation (P) or ombination () problems. a. How many ways can we choose 's from a stack of 's? b. How many ways can books be arranged on a shelf? c. How many ways can of dogs be placed in kennel cages? d. How many ways can of dogs be turned out into a play yard? e. How many ways can of flowers be given to people? f. g. How many ways can candidates be chosen from candidates for final interviews? How many license plates can be made using letters followed by numbers? h. How many ways can radio commercials be run during an hour Page of

10 Math Lecture Notes h.. emonstration Problems valuate each expression.. (a)! Practice Problems valuate each expression.. (b)!. (a)!!. (b)!!. (a) P. (b) P. (a) P. (b) P. (a). (b) nswers:. (b) ;. (b) ;. (b) ;. (b) ;. (b) Page of

11 Math Lecture Notes h.. emonstration Problems. (a) How many different I card numbers can be made if there are digits? Practice Problems. (b) How many different I card numbers can be made if there are digits?. (a) How many license plates can be made if the first characters are letters and the next are digits?. (b) How many license plates can be made if the first characters are letters and the next are digits?. (a) How many different I card numbers can be made if there are digits and no digit can be used more than once?. (b) How many different I card numbers can be made if there are digits and no digits can be used more than once?. (a) How many ways can dogs be chosen from dogs to be placed into kennels?. (b) How many ways can dogs be chosen from dogs to be placed into kennels?. (a) How many ways can dogs in a shelter be chosen to be turned out into the play yard at a time?. (b) How many ways can dogs in a shelter be chosen to be turned out into the play yard at a time? nswers:. (b),;. (b),,;. (b),;. (b),;. (b) Visit to learn more about the history and future of license plates. Page of

4.4: The Counting Rules

4.4: The Counting Rules 4.4: The Counting Rules The counting rules can be used to discover the number of possible for a sequence of events. Fundamental Counting Rule In a sequence of n events in which the first one has k 1 possibilities

More information

Combinations and Permutations

Combinations and Permutations Combinations and Permutations What's the Difference? In English we use the word "combination" loosely, without thinking if the order of things is important. In other words: "My fruit salad is a combination

More information

Tree Diagrams and the Fundamental Counting Principle

Tree Diagrams and the Fundamental Counting Principle Objective: In this lesson, you will use permutations and combinations to compute probabilities of compound events and to solve problems. Read this knowledge article and answer the following: Tree Diagrams

More information

Section : Combinations and Permutations

Section : Combinations and Permutations Section 11.1-11.2: Combinations and Permutations Diana Pell A construction crew has three members. A team of two must be chosen for a particular job. In how many ways can the team be chosen? How many words

More information

Chapter 5 Probability

Chapter 5 Probability Chapter 5 Probability Math150 What s the likelihood of something occurring? Can we answer questions about probabilities using data or experiments? For instance: 1) If my parking meter expires, I will probably

More information

Probability and Counting Techniques

Probability and Counting Techniques Probability and Counting Techniques Diana Pell (Multiplication Principle) Suppose that a task consists of t choices performed consecutively. Suppose that choice 1 can be performed in m 1 ways; for each

More information

CISC 1400 Discrete Structures

CISC 1400 Discrete Structures CISC 1400 Discrete Structures Chapter 6 Counting CISC1400 Yanjun Li 1 1 New York Lottery New York Mega-million Jackpot Pick 5 numbers from 1 56, plus a mega ball number from 1 46, you could win biggest

More information

Name: Exam 1. September 14, 2017

Name: Exam 1. September 14, 2017 Department of Mathematics University of Notre Dame Math 10120 Finite Math Fall 2017 Name: Instructors: Basit & Migliore Exam 1 September 14, 2017 This exam is in two parts on 9 pages and contains 14 problems

More information

Sets, Venn Diagrams & Counting

Sets, Venn Diagrams & Counting MT 142 College Mathematics Sets, Venn Diagrams & Counting Module SC Terri Miller revised December 13, 2010 What is a set? Sets set is a collection of objects. The objects in the set are called elements

More information

Chapter 5 - Elementary Probability Theory

Chapter 5 - Elementary Probability Theory Chapter 5 - Elementary Probability Theory Historical Background Much of the early work in probability concerned games and gambling. One of the first to apply probability to matters other than gambling

More information

STAT 430/510 Probability Lecture 1: Counting-1

STAT 430/510 Probability Lecture 1: Counting-1 STAT 430/510 Probability Lecture 1: Counting-1 Pengyuan (Penelope) Wang May 22, 2011 Introduction In the early days, probability was associated with games of chance, such as gambling. Probability is describing

More information

STAT 430/510 Probability

STAT 430/510 Probability STAT 430/510 Probability Hui Nie Lecture 1 May 26th, 2009 Introduction Probability is the study of randomness and uncertainty. In the early days, probability was associated with games of chance, such as

More information

Examples: Experiment Sample space

Examples: Experiment Sample space Intro to Probability: A cynical person once said, The only two sure things are death and taxes. This philosophy no doubt arose because so much in people s lives is affected by chance. From the time a person

More information

PROBABILITY. Example 1 The probability of choosing a heart from a deck of cards is given by

PROBABILITY. Example 1 The probability of choosing a heart from a deck of cards is given by Classical Definition of Probability PROBABILITY Probability is the measure of how likely an event is. An experiment is a situation involving chance or probability that leads to results called outcomes.

More information

STATISTICAL COUNTING TECHNIQUES

STATISTICAL COUNTING TECHNIQUES STATISTICAL COUNTING TECHNIQUES I. Counting Principle The counting principle states that if there are n 1 ways of performing the first experiment, n 2 ways of performing the second experiment, n 3 ways

More information

Finite Math B, Chapter 8 Test Review Name

Finite Math B, Chapter 8 Test Review Name Finite Math B, Chapter 8 Test Review Name Evaluate the factorial. 1) 6! A) 720 B) 120 C) 360 D) 1440 Evaluate the permutation. 2) P( 10, 5) A) 10 B) 30,240 C) 1 D) 720 3) P( 12, 8) A) 19,958,400 B) C)

More information

CHAPTER 8 Additional Probability Topics

CHAPTER 8 Additional Probability Topics CHAPTER 8 Additional Probability Topics 8.1. Conditional Probability Conditional probability arises in probability experiments when the person performing the experiment is given some extra information

More information

Math 7 Notes - Unit 11 Probability

Math 7 Notes - Unit 11 Probability Math 7 Notes - Unit 11 Probability Probability Syllabus Objective: (7.2)The student will determine the theoretical probability of an event. Syllabus Objective: (7.4)The student will compare theoretical

More information

Math 227 Elementary Statistics. Bluman 5 th edition

Math 227 Elementary Statistics. Bluman 5 th edition Math 227 Elementary Statistics Bluman 5 th edition CHAPTER 4 Probability and Counting Rules 2 Objectives Determine sample spaces and find the probability of an event using classical probability or empirical

More information

5 Elementary Probability Theory

5 Elementary Probability Theory 5 Elementary Probability Theory 5.1 What is Probability? The Basics We begin by defining some terms. Random Experiment: any activity with a random (unpredictable) result that can be measured. Trial: one

More information

Finite Math - Fall 2016

Finite Math - Fall 2016 Finite Math - Fall 206 Lecture Notes - /28/206 Section 7.4 - Permutations and Combinations There are often situations in which we have to multiply many consecutive numbers together, for example, in examples

More information

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

More information

Ch Counting Technique

Ch Counting Technique Learning Intentions: h. 10.4 ounting Technique Use a tree diagram to represent possible paths or choices. Learn the definitions of & notations for permutations & combinations, & distinguish between them.

More information

Permutations and Combinations

Permutations and Combinations Permutations and Combinations In statistics, there are two ways to count or group items. For both permutations and combinations, there are certain requirements that must be met: there can be no repetitions

More information

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

MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability. Preliminary Concepts, Formulas, and Terminology MAT104: Fundamentals of Mathematics II Summary of Counting Techniques and Probability Preliminary Concepts, Formulas, and Terminology Meanings of Basic Arithmetic Operations in Mathematics Addition: Generally

More information

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

1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building? 1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building? 2. A particular brand of shirt comes in 12 colors, has a male version and a female version,

More information

Algebra II- Chapter 12- Test Review

Algebra II- Chapter 12- Test Review Sections: Counting Principle Permutations Combinations Probability Name Choose the letter of the term that best matches each statement or phrase. 1. An illustration used to show the total number of A.

More information

Combinations and Permutations Long-Term Memory Review Review 1

Combinations and Permutations Long-Term Memory Review Review 1 Review 1 1. A is an arrangement of a set of objects in which order IS important. 2. A is an arrangement of a set of objects in which order IS NOT important.. How do you read?. 4. How do your read C or.

More information

Counting principles, including permutations and combinations.

Counting principles, including permutations and combinations. Counting principles, including permutations and combinations. The binomial theorem: expansion of (aa + bb) nn, nn εε NN. 1 THE PRODUCT RULE If there are mm different ways of performing an operation and

More information

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

Counting (Enumerative Combinatorics) X. Zhang, Fordham Univ. Counting (Enumerative Combinatorics) X. Zhang, Fordham Univ. 1 Chance of winning?! What s the chances of winning New York Megamillion Jackpot!! just pick 5 numbers from 1 to 56, plus a mega ball number

More information

Fundamental Counting Principle 2.1 Page 66 [And = *, Or = +]

Fundamental Counting Principle 2.1 Page 66 [And = *, Or = +] Math 3201 Assignment 2 Unit 2 Counting Methods Name: Fundamental Counting Principle 2.1 Page 66 [And = *, Or = +] Identify the choice that best completes the statement or answers the question. Show all

More information

Finite Mathematics MAT 141: Chapter 8 Notes

Finite Mathematics MAT 141: Chapter 8 Notes Finite Mathematics MAT 4: Chapter 8 Notes Counting Principles; More David J. Gisch The Multiplication Principle; Permutations Multiplication Principle Multiplication Principle You can think of the multiplication

More information

Math 3201 Notes Chapter 2: Counting Methods

Math 3201 Notes Chapter 2: Counting Methods Learning oals: See p. 63 text. Math 30 Notes Chapter : Counting Methods. Counting Principles ( classes) Outcomes:. Define the sample space. P. 66. Find the sample space by drawing a graphic organizer such

More information

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

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. More 9.-9.3 Practice Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Answer the question. ) In how many ways can you answer the questions on

More information

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

* Order Matters For Permutations * Section 4.6 Permutations MDM4U Jensen. Part 1: Factorial Investigation Section 4.6 Permutations MDM4U Jensen Part 1: Factorial Investigation You are trying to put three children, represented by A, B, and C, in a line for a game. How many different orders are possible? a)

More information

JIGSAW ACTIVITY, TASK # Make sure your answer in written in the correct order. Highest powers of x should come first, down to the lowest powers.

JIGSAW ACTIVITY, TASK # Make sure your answer in written in the correct order. Highest powers of x should come first, down to the lowest powers. JIGSAW ACTIVITY, TASK #1 Your job is to multiply and find all the terms in ( 1) Recall that this means ( + 1)( + 1)( + 1)( + 1) Start by multiplying: ( + 1)( + 1) x x x x. x. + 4 x x. Write your answer

More information

Answer each of the following problems. Make sure to show your work.

Answer each of the following problems. Make sure to show your work. Answer each of the following problems. Make sure to show your work. 1. A board game requires each player to roll a die. The player with the highest number wins. If a player wants to calculate his or her

More information

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 11

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 11 EECS 70 Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 11 Counting As we saw in our discussion for uniform discrete probability, being able to count the number of elements of

More information

Chapter 11: Probability and Counting Techniques

Chapter 11: Probability and Counting Techniques Chapter 11: Probability and Counting Techniques Diana Pell Section 11.1: The Fundamental Counting Principle Exercise 1. How many different two-letter words (including nonsense words) can be formed when

More information

Fundamental Counting Principle 2.1 Page 66 [And = *, Or = +]

Fundamental Counting Principle 2.1 Page 66 [And = *, Or = +] Math 3201 Assignment 1 of 1 Unit 2 Counting Methods Name: Fundamental Counting Principle 2.1 Page 66 [And = *, Or = +] Identify the choice that best completes the statement or answers the question. 1.

More information

Chapter 1. Probability

Chapter 1. Probability Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.

More information

Section 5.4 Permutations and Combinations

Section 5.4 Permutations and Combinations Section 5.4 Permutations and Combinations Definition: n-factorial For any natural number n, n! n( n 1)( n 2) 3 2 1. 0! = 1 A combination of a set is arranging the elements of the set without regard to

More information

Math 3012 Applied Combinatorics Lecture 2

Math 3012 Applied Combinatorics Lecture 2 August 20, 2015 Math 3012 Applied Combinatorics Lecture 2 William T. Trotter trotter@math.gatech.edu The Road Ahead Alert The next two to three lectures will be an integrated approach to material from

More information

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

Block 1 - Sets and Basic Combinatorics. Main Topics in Block 1: Block 1 - Sets and Basic Combinatorics Main Topics in Block 1: A short revision of some set theory Sets and subsets. Venn diagrams to represent sets. Describing sets using rules of inclusion. Set operations.

More information

Probability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37

Probability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37 Probability MAT230 Discrete Mathematics Fall 2018 MAT230 (Discrete Math) Probability Fall 2018 1 / 37 Outline 1 Discrete Probability 2 Sum and Product Rules for Probability 3 Expected Value MAT230 (Discrete

More information

Fundamental Counting Principle

Fundamental Counting Principle Lesson 88 Probability with Combinatorics HL2 Math - Santowski Fundamental Counting Principle Fundamental Counting Principle can be used determine the number of possible outcomes when there are two or more

More information

Section 11.4: Tree Diagrams, Tables, and Sample Spaces

Section 11.4: Tree Diagrams, Tables, and Sample Spaces Section 11.4: Tree Diagrams, Tables, and Sample Spaces Diana Pell Exercise 1. Use a tree diagram to find the sample space for the genders of three children in a family. Exercise 2. (You Try!) A soda machine

More information

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

November 8, Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance November 8, 2013 Last Time Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Crystallographic notation The first symbol

More information

Section 5.4 Permutations and Combinations

Section 5.4 Permutations and Combinations Section 5.4 Permutations and Combinations Definition: n-factorial For any natural number n, n! = n( n 1)( n 2) 3 2 1. 0! = 1 A combination of a set is arranging the elements of the set without regard to

More information

Fundamentals of Probability

Fundamentals of Probability Fundamentals of Probability Introduction Probability is the likelihood that an event will occur under a set of given conditions. The probability of an event occurring has a value between 0 and 1. An impossible

More information

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG MATH DISCRETE MATHEMATICS INSTRUCTOR: P. WENG Counting and Probability Suggested Problems Basic Counting Skills, Inclusion-Exclusion, and Complement. (a An office building contains 7 floors and has 7 offices

More information

Raise your hand if you rode a bus within the past month. Record the number of raised hands.

Raise your hand if you rode a bus within the past month. Record the number of raised hands. 166 CHAPTER 3 PROBABILITY TOPICS Raise your hand if you rode a bus within the past month. Record the number of raised hands. Raise your hand if you answered "yes" to BOTH of the first two questions. Record

More information

Chapter 1. Probability

Chapter 1. Probability Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.

More information

There are three types of mathematicians. Those who can count and those who can t.

There are three types of mathematicians. Those who can count and those who can t. 1 Counting There are three types of mathematicians. Those who can count and those who can t. 1.1 Orderings The details of the question always matter. So always take a second look at what is being asked

More information

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

* Order Matters For Permutations * Section 4.6 Permutations MDM4U Jensen. Part 1: Factorial Investigation Section 4.6 Permutations MDM4U Jensen Part 1: Factorial Investigation You are trying to put three children, represented by A, B, and C, in a line for a game. How many different orders are possible? a)

More information

Course Learning Outcomes for Unit V

Course Learning Outcomes for Unit V UNIT V STUDY GUIDE Counting Reading Assignment See information below. Key Terms 1. Combination 2. Fundamental counting principle 3. Listing 4. Permutation 5. Tree diagrams Course Learning Outcomes for

More information

Probability, Permutations, & Combinations LESSON 11.1

Probability, Permutations, & Combinations LESSON 11.1 Probability, Permutations, & Combinations LESSON 11.1 Objective Define probability Use the counting principle Know the difference between combination and permutation Find probability Probability PROBABILITY:

More information

Grade 7/8 Math Circles November 8 & 9, Combinatorial Counting

Grade 7/8 Math Circles November 8 & 9, Combinatorial Counting Faculty of Mathematics Waterloo, Ontario NL G1 Centre for Education in Mathematics and Computing Grade 7/8 Math Circles November 8 & 9, 016 Combinatorial Counting Learning How to Count (In a New Way!)

More information

Math 1116 Probability Lecture Monday Wednesday 10:10 11:30

Math 1116 Probability Lecture Monday Wednesday 10:10 11:30 Math 1116 Probability Lecture Monday Wednesday 10:10 11:30 Course Web Page http://www.math.ohio state.edu/~maharry/ Chapter 15 Chances, Probabilities and Odds Objectives To describe an appropriate sample

More information

7.1 Experiments, Sample Spaces, and Events

7.1 Experiments, Sample Spaces, and Events 7.1 Experiments, Sample Spaces, and Events An experiment is an activity that has observable results. Examples: Tossing a coin, rolling dice, picking marbles out of a jar, etc. The result of an experiment

More information

CS 237: Probability in Computing

CS 237: Probability in Computing CS 237: Probability in Computing Wayne Snyder Computer Science Department Boston University Lecture 5: o Independence reviewed; Bayes' Rule o Counting principles and combinatorics; o Counting considered

More information

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

W = {Carrie (U)nderwood, Kelly (C)larkson, Chris (D)aughtry, Fantasia (B)arrino, and Clay (A)iken} UNIT V STUDY GUIDE Counting Course Learning Outcomes for Unit V Upon completion of this unit, students should be able to: 1. Apply mathematical principles used in real-world situations. 1.1 Draw tree diagrams

More information

Chapter 2. Permutations and Combinations

Chapter 2. Permutations and Combinations 2. Permutations and Combinations Chapter 2. Permutations and Combinations In this chapter, we define sets and count the objects in them. Example Let S be the set of students in this classroom today. Find

More information

Probability. Ms. Weinstein Probability & Statistics

Probability. Ms. Weinstein Probability & Statistics Probability Ms. Weinstein Probability & Statistics Definitions Sample Space The sample space, S, of a random phenomenon is the set of all possible outcomes. Event An event is a set of outcomes of a random

More information

Question 1: How do you count choices using the multiplication principle?

Question 1: How do you count choices using the multiplication principle? 8.1 Permutations Question 1: How do you count choices using the multiplication principle? Question 2: What is factorial notation? Question 3: What is a permutation? In Chapter 7, we focused on using statistics

More information

Chapter 4: Introduction to Probability

Chapter 4: Introduction to Probability MTH 243 Chapter 4: Introduction to Probability Suppose that we found that one of our pieces of data was unusual. For example suppose our pack of M&M s only had 30 and that was 3.1 standard deviations below

More information

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

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Study Guide for Test III (MATH 1630) Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the number of subsets of the set. 1) {x x is an even

More information

Welcome! Worksheet Counting Principal, Permutations, Combinations. Updates: U4T is 12/12

Welcome! Worksheet Counting Principal, Permutations, Combinations. Updates: U4T is 12/12 Welcome! U4H1: Worksheet Counting Principal, Permutations, Combinations Updates: U4T is 12/12 Announcement: December 16 th is the last day I will accept late work. No new assignment list since this section

More information

Mathematics 3201 Test (Unit 3) Probability FORMULAES

Mathematics 3201 Test (Unit 3) Probability FORMULAES Mathematics 3201 Test (Unit 3) robability Name: FORMULAES ( ) A B A A B A B ( A) ( B) ( A B) ( A and B) ( A) ( B) art A : lace the letter corresponding to the correct answer to each of the following in

More information

[Independent Probability, Conditional Probability, Tree Diagrams]

[Independent Probability, Conditional Probability, Tree Diagrams] Name: Year 1 Review 11-9 Topic: Probability Day 2 Use your formula booklet! Page 5 Lesson 11-8: Probability Day 1 [Independent Probability, Conditional Probability, Tree Diagrams] Read and Highlight Station

More information

4.1 Sample Spaces and Events

4.1 Sample Spaces and Events 4.1 Sample Spaces and Events An experiment is an activity that has observable results. Examples: Tossing a coin, rolling dice, picking marbles out of a jar, etc. The result of an experiment is called an

More information

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

November 6, Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance November 6, 2013 Last Time Crystallographic notation Groups Crystallographic notation The first symbol is always a p, which indicates that the pattern

More information

6.4 Permutations and Combinations

6.4 Permutations and Combinations Math 141: Business Mathematics I Fall 2015 6.4 Permutations and Combinations Instructor: Yeong-Chyuan Chung Outline Factorial notation Permutations - arranging objects Combinations - selecting objects

More information

Honors Precalculus Chapter 9 Summary Basic Combinatorics

Honors Precalculus Chapter 9 Summary Basic Combinatorics Honors Precalculus Chapter 9 Summary Basic Combinatorics A. Factorial: n! means 0! = Why? B. Counting principle: 1. How many different ways can a license plate be formed a) if 7 letters are used and each

More information

How Can I Practice? $20,000 < SALARY < $50, years. 24 More than Total. i. 12 years of education and makes more than $100,000.

How Can I Practice? $20,000 < SALARY < $50, years. 24 More than Total. i. 12 years of education and makes more than $100,000. 774 CHAPTER 6 PROBABILITY MODELS Activities 6.1-6.8 How Can I Practice? 1. The following table displays the annual salaries and years of education for a cross section of the population. Complete the totals

More information

Tree Diagrams and the Multiplication Rule for Counting Tree Diagrams. tree diagram.

Tree Diagrams and the Multiplication Rule for Counting Tree Diagrams. tree diagram. 4 2 Tree Diagrams and the Multiplication Rule for Counting Tree Diagrams Objective 1. Determine the number of outcomes of a sequence of events using a tree diagram. Example 4 1 Many times one wishes to

More information

Basic Probability & Statistics Exam 2 { Part I { Sections (Chapter 4, Chapter 5) March 19, 2009

Basic Probability & Statistics Exam 2 { Part I { Sections (Chapter 4, Chapter 5) March 19, 2009 NAME: INSTRUCTOR: Dr. Bathi Kasturiarachi Math 30011 Spring 2009 Basic Probability & Statistics Exam 2 { Part I { Sections (Chapter 4, Chapter 5) March 19, 2009 Read through the entire test before beginning.

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Math 1332 Review Test 4 Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Solve the problem by applying the Fundamental Counting Principle with two

More information

Such a description is the basis for a probability model. Here is the basic vocabulary we use.

Such a description is the basis for a probability model. Here is the basic vocabulary we use. 5.2.1 Probability Models When we toss a coin, we can t know the outcome in advance. What do we know? We are willing to say that the outcome will be either heads or tails. We believe that each of these

More information

The Fundamental Counting Principle & Permutations

The Fundamental Counting Principle & Permutations The Fundamental Counting Principle & Permutations POD: You have 7 boxes and 10 balls. You put the balls into the boxes. How many boxes have more than one ball? Why do you use a fundamental counting principal?

More information

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

Strings. A string is a list of symbols in a particular order. Ihor Stasyuk Strings A string is a list of symbols in a particular order. Strings A string is a list of symbols in a particular order. Examples: 1 3 0 4 1-12 is a string of integers. X Q R A X P T is a

More information

Probability and Randomness. Day 1

Probability and Randomness. Day 1 Probability and Randomness Day 1 Randomness and Probability The mathematics of chance is called. The probability of any outcome of a chance process is a number between that describes the proportion of

More information

Counting and Probability Math 2320

Counting and Probability Math 2320 Counting and Probability Math 2320 For a finite set A, the number of elements of A is denoted by A. We have two important rules for counting. 1. Union rule: Let A and B be two finite sets. Then A B = A

More information

Answer each of the following problems. Make sure to show your work.

Answer each of the following problems. Make sure to show your work. Answer each of the following problems. Make sure to show your work. 1. A board game requires each player to roll a die. The player with the highest number wins. If a player wants to calculate his or her

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Math 1342 Practice Test 2 Ch 4 & 5 Name 1) Nanette must pass through three doors as she walks from her company's foyer to her office. Each of these doors may be locked or unlocked. 1) List the outcomes

More information

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

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College Probability The MEnTe Program Math Enrichment through Technology Title V East Los Angeles College 2003 East Los Angeles College. All rights reserved. Topics Introduction Empirical Probability Theoretical

More information

Chapter 2 Math

Chapter 2 Math Chapter 2 Math 3201 1 Chapter 2: Counting Methods: Solving problems that involve the Fundamental Counting Principle Understanding and simplifying expressions involving factorial notation Solving problems

More information

Counting Methods. Mathematics 3201

Counting Methods. Mathematics 3201 Mathematics 3201 Unit 2 2.1 - COUNTING PRINCIPLES Goal: Determine the Fundamental Counting Principle and use it to solve problems. Example 1: Hannah plays on her school soccer team. The soccer uniform

More information

Formula 1: Example: Total: Example: (75 ) (76) N (N +1) = (20 ) (21 ) =1050

Formula 1: Example: Total: Example: (75 ) (76) N (N +1) = (20 ) (21 ) =1050 Formula 1: S=1++3+ + N Example: 1++3+ +75 Total: N (N +1) S= (75 ) (76) =850 Example: 5+10+15+0+ +100 5 (1++3+ +0 ) 5 (0 ) (1 ) =1050 4+5+6+ +5 1++3+4 +5+6+ +5 1++3=6, so add 1 through 5 and subtract 6

More information

Bayes stuff Red Cross and Blood Example

Bayes stuff Red Cross and Blood Example Bayes stuff Red Cross and Blood Example 42% of the workers at Motor Works are female, while 67% of the workers at City Bank are female. If one of these companies is selected at random (assume a 50-50 chance

More information

LEVEL I. 3. In how many ways 4 identical white balls and 6 identical black balls be arranged in a row so that no two white balls are together?

LEVEL I. 3. In how many ways 4 identical white balls and 6 identical black balls be arranged in a row so that no two white balls are together? LEVEL I 1. Three numbers are chosen from 1,, 3..., n. In how many ways can the numbers be chosen such that either maximum of these numbers is s or minimum of these numbers is r (r < s)?. Six candidates

More information

Counting. Chapter 6. With Question/Answer Animations

Counting. Chapter 6. With Question/Answer Animations . All rights reserved. Authorized only for instructor use in the classroom. No reproduction or further distribution permitted without the prior written consent of McGraw-Hill Education. Counting Chapter

More information

Exam 2 Review (Sections Covered: 3.1, 3.3, , 7.1) 1. Write a system of linear inequalities that describes the shaded region.

Exam 2 Review (Sections Covered: 3.1, 3.3, , 7.1) 1. Write a system of linear inequalities that describes the shaded region. Exam 2 Review (Sections Covered: 3.1, 3.3, 6.1-6.4, 7.1) 1. Write a system of linear inequalities that describes the shaded region. 5x + 2y 30 x + 2y 12 x 0 y 0 2. Write a system of linear inequalities

More information

WEEK 7 REVIEW. Multiplication Principle (6.3) Combinations and Permutations (6.4) Experiments, Sample Spaces and Events (7.1)

WEEK 7 REVIEW. Multiplication Principle (6.3) Combinations and Permutations (6.4) Experiments, Sample Spaces and Events (7.1) WEEK 7 REVIEW Multiplication Principle (6.3) Combinations and Permutations (6.4) Experiments, Sample Spaces and Events (7.) Definition of Probability (7.2) WEEK 8-7.3, 7.4 and Test Review THE MULTIPLICATION

More information

Sec 4.4. Counting Rules. Bluman, Chapter 4

Sec 4.4. Counting Rules. Bluman, Chapter 4 Sec 4.4 Counting Rules A Question to Ponder: A box contains 3 red chips, 2 blue chips and 5 green chips. A chip is selected, replaced and a second chip is selected. Display the sample space. Do you think

More information

MAT Midterm Review

MAT Midterm Review MAT 120 - Midterm Review Name Identify the population and the sample. 1) When 1094 American households were surveyed, it was found that 67% of them owned two cars. Identify whether the statement describes

More information

Math 106 Lecture 3 Probability - Basic Terms Combinatorics and Probability - 1 Odds, Payoffs Rolling a die (virtually)

Math 106 Lecture 3 Probability - Basic Terms Combinatorics and Probability - 1 Odds, Payoffs Rolling a die (virtually) Math 106 Lecture 3 Probability - Basic Terms Combinatorics and Probability - 1 Odds, Payoffs Rolling a die (virtually) m j winter, 00 1 Description We roll a six-sided die and look to see whether the face

More information

7.4 Permutations and Combinations

7.4 Permutations and Combinations 7.4 Permutations and Combinations The multiplication principle discussed in the preceding section can be used to develop two additional counting devices that are extremely useful in more complicated counting

More information

Math 166: Topics in Contemporary Mathematics II

Math 166: Topics in Contemporary Mathematics II Math 166: Topics in Contemporary Mathematics II Xin Ma Texas A&M University September 30, 2017 Xin Ma (TAMU) Math 166 September 30, 2017 1 / 11 Last Time Factorials For any natural number n, we define

More information

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

Name: Spring P. Walston/A. Moore. Topic worksheet # assigned #completed Teacher s Signature Tree Diagrams FCP Name: Spring 2016 P. Walston/A. Moore Topic worksheet # assigned #completed Teacher s Signature Tree Diagrams 1-0 13 FCP 1-1 16 Combinations/ Permutations Factorials 1-2 22 1-3 20 Intro to Probability

More information