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

Size: px
Start display at page:

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

Transcription

1 MAT 155 Dr. Claude Moore Cape Fear Community College Chapter 4 Probability 4 1 Review and Preview 4 2 Basic Concepts of Probability 4 3 Addition Rule 4 4 Multiplication Rule: Basics 4 7 Counting Key Concept In many probability problems, the big obstacle is finding the total number of outcomes, and this section presents several methods for finding such numbers without directly listing and counting the possibilities. Very good! Video tutorials for TI calculator in statistics Community College of Baltimore County TI Calculator tutorials Fundamental Counting For a sequence of two events in which the first event can occur m ways and the second event can occur n ways, the events together can occur a total of m n ways. Notation The factorial symbol! denotes the product of decreasing positive whole numbers. For example, By special definition, 1! = 1 and 0! = 1. 1

2 Factorial Rule A collection of n different items can be arranged in order n! different ways. (This factorial rule reflects the fact that the first item may be selected in n different ways, the second item may be selected in n 1 ways, and so on.) Permutations Rule (when items are all different) There are n different items available. (This rule does not apply if some of the items are identical to others.) We select r of the n items (without replacement). We consider rearrangements of the same items to be different sequences. (The permutation of ABC is different from CBA and is counted separately.) If the preceding requirements are satisfied, the number of permutations (or sequences) of r items selected from n available items (without replacement) is Permutations Rule (when some items are identical to others) There are n items available, and some items are identical to others. We select all of the n items (without replacement). We consider rearrangements of distinct items to be different sequences. Combinations Rule There are n different items available. We select r of the n items (without replacement). We consider rearrangements of the same items to be the same. (The combination of ABC is the same as CBA.) If the preceding requirements are satisfied, the number of combinations of r items selected from n different items is If the preceding requirements are satisfied, and if there are n 1 alike, n 2 alike,... n k alike, the number of permutations (or sequences) of all items selected without replacement is 2

3 Permutations versus Combinations When different orderings of the same items are to be counted separately, we have a permutation problem, but when different orderings are not to be counted separately, we have a combination problem. Recap In this section we have discussed: The fundamental counting rule. The factorial rule. The permutations rule (when items are all different). The permutations rule (when some items are identical to others). The combinations rule. 195/6. Factorial Find the number of different ways that the nine players on a baseball team can line up for the National Anthem by evaluating 9!. 195/8. Card Playing Find the number of different possible five card poker hands by evaluating 52C /10. Scheduling Routes A political strategist must visit state capitols, but she has time to visit only 3 of them. Find the number of different possible routes by evaluating 50P /12. Trifecta Refer to Exercise 3. Find the number of different possible trifecta bets in a race with ten horses by evaluating 10P 3. 3

4 In Exercises 13 16, find the probability of winning the indicated lottery by buying one ticket. In each case, numbers selected are different and order does not matter. Express the result as a fraction. 196/13. Lotto Texas Select the six winning numbers from 1, 2,, 54. In Exercises 13 16, find the probability of winning the indicated lottery by buying one ticket. In each case, numbers selected are different and order does not matter. Express the result as a fraction. 196/14. Florida Lotto Select the six winning numbers from 1, 2,, 53. Total number of possible tickets with 6 different numbers from 1 to 54 is the number combinations of 54 numbers taken 6 at a time. This represents the denominator. So, the probability is P(Win) = 1/25,827,165. P(Win) = 1 / Total possible outcomes Total possible outcomes: 53 C 6 = 22,957,480 P(Win) = 1 / 22,957, /19. Sampling The Bureau of Fisheries once asked for help in finding the shortest route for getting samples from locations in the Gulf of Mexico. How many routes are possible if samples must be taken at 6 locations from a list of 20 locations? 196/21. Electricity When testing for current in a cable with five color coded wires, the author used a meter to test two wires at a time. How many different tests are required for every possible pairing of two wires? 4

5 197/24. Simple Random Sample In Phase I of a clinical trial with gene therapy used for treating HIV, five subjects were treated (based on data from Medical News Today). If 20 people were eligible for the Phase I treatment and a simple random sample of five is selected, how many different simple random samples are possible? What is the probability of each simple random sample? 197/28. Safe Combination The author owns a safe in which he stores all of his great ideas for the next edition of this book. The safe combination consists of four numbers between 0 and 99. If another author breaks in and tries to steal these ideas, what is the probability that he or she will get the correct combination on the first attempt? Assume that the numbers are randomly selected. Given the number of possibilities, does it seem feasible to try opening the safe by making random guesses for the combination? 198/33. Powerball As of this writing, the Powerball lottery is run in 29 states. Winning the jack pot requires that you select the correct five numbers between 1 and 55 and, in a separate drawing, you must also select the correct single number between 1 and 42. Find the probability of winning the jackpot. 198/34. Mega Millions As of this writing, the Mega Millions lottery is run in 12 states. Winning the jackpot requires that you select the correct five numbers between 1 and 56 and, in a separate drawing, you must also select the correct single number between 1 and 46. Find the probability of winning the jackpot. 5

8.3 Probability with Permutations and Combinations

8.3 Probability with Permutations and Combinations 8.3 Probability with Permutations and Combinations Question 1: How do you find the likelihood of a certain type of license plate? Question 2: How do you find the likelihood of a particular committee? Question

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

* 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

LAMC Junior Circle February 3, Oleg Gleizer. Warm-up

LAMC Junior Circle February 3, Oleg Gleizer. Warm-up LAMC Junior Circle February 3, 2013 Oleg Gleizer oleg1140@gmail.com Warm-up Problem 1 Compute the following. 2 3 ( 4) + 6 2 Problem 2 Can the value of a fraction increase, if we add one to the numerator

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 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

Discrete Structures Lecture Permutations and Combinations

Discrete Structures Lecture Permutations and Combinations Introduction Good morning. Many counting problems can be solved by finding the number of ways to arrange a specified number of distinct elements of a set of a particular size, where the order of these

More information

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events CHAPTER 2 PROBABILITY 2.1 Sample Space A probability model consists of the sample space and the way to assign probabilities. Sample space & sample point The sample space S, is the set of all possible outcomes

More information

Probability. 4-6 Counting. Fundamental Counting Rule Permutations Combinations

Probability. 4-6 Counting. Fundamental Counting Rule Permutations Combinations Probability 4-6 Counting Fundamental Counting Rule Permutations Combinations Fundamental Counting Rule (Space Rule) For a sequence of two or more events m and n The first event occurs m ways and the second

More information

Something to Think About

Something to Think About Probability Facts Something to Think About Name Ohio Lottery information: one picks 6 numbers from the set {1,2,3,...49,50}. The state then randomly picks 6 numbers. If you match all 6, you win. The number

More information

The game of poker. Gambling and probability. Poker probability: royal flush. Poker probability: four of a kind

The game of poker. Gambling and probability. Poker probability: royal flush. Poker probability: four of a kind The game of poker Gambling and probability CS231 Dianna Xu 1 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):

More information

Expected Value, continued

Expected Value, continued Expected Value, continued Data from Tuesday On Tuesday each person rolled a die until obtaining each number at least once, and counted the number of rolls it took. Each person did this twice. The data

More information

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?

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? Section 6.1 #16 What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit? page 1 Section 6.1 #38 Two events E 1 and E 2 are called independent if p(e 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

The student will explain and evaluate the financial impact and consequences of gambling.

The student will explain and evaluate the financial impact and consequences of gambling. What Are the Odds? Standard 12 The student will explain and evaluate the financial impact and consequences of gambling. Lesson Objectives Recognize gambling as a form of risk. Calculate the probabilities

More information

COUNTING AND PROBABILITY

COUNTING AND PROBABILITY CHAPTER 9 COUNTING AND PROBABILITY Copyright Cengage Learning. All rights reserved. SECTION 9.2 Possibility Trees and the Multiplication Rule Copyright Cengage Learning. All rights reserved. Possibility

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

Math 12 - Unit 4 Review

Math 12 - Unit 4 Review Name: Class: Date: Math 12 - Unit 4 Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. A combination lock opens with the correct three-digit code.

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

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

Well, there are 6 possible pairs: AB, AC, AD, BC, BD, and CD. This is the binomial coefficient s job. The answer we want is abbreviated ( 4

Well, there are 6 possible pairs: AB, AC, AD, BC, BD, and CD. This is the binomial coefficient s job. The answer we want is abbreviated ( 4 2 More Counting 21 Unordered Sets In counting sequences, the ordering of the digits or letters mattered Another common situation is where the order does not matter, for example, if we want to choose a

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

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

Permutations: The number of arrangements of n objects taken r at a time is. P (n, r) = n (n 1) (n r + 1) = Section 6.6: Mixed Counting Problems We have studied a number of counting principles and techniques since the beginning of the course and when we tackle a counting problem, we may have to use one or a

More information

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

Additional Topics in Probability and Counting. Try It Yourself 1. The number of permutations of n distinct objects taken r at a time is 168 CHAPTER 3 PROBABILITY 3.4 Additional Topics in Probability and Counting WHAT YOU SHOULD LEARN How to find the number of ways a group of objects can be arranged in order How to find the number of ways

More information

PS 3.8 Probability Concepts Permutations & Combinations

PS 3.8 Probability Concepts Permutations & Combinations BIG PICTURE of this UNIT: How can we visualize events and outcomes when considering probability events? How can we count outcomes in probability events? How can we calculate probabilities, given different

More information

Lesson A7 - Counting Techniques and Permutations. Learning Goals:

Lesson A7 - Counting Techniques and Permutations. Learning Goals: Learning Goals: * Determine tools and strategies that will determine outcomes more efficiently * Use factorial notation effectively * Determine probabilities for simple ordered events Example 1: You are

More information

Section The Multiplication Principle and Permutations

Section The Multiplication Principle and Permutations Section 2.1 - The Multiplication Principle and Permutations Example 1: A yogurt shop has 4 flavors (chocolate, vanilla, strawberry, and blueberry) and three sizes (small, medium, and large). How many different

More information

Redwood High School. Department of Mathematics Advanced Algebra Test S2 #6.

Redwood High School. Department of Mathematics Advanced Algebra Test S2 #6. Redwood High School. Department of Mathematics Advanced Algebra 2015-2016 Test S2 #6. Hard Worker's name: Find the indicated probability. 1) Of the 69 people who answered "yes" to a question, 12 were male.

More information

7.1 Chance Surprises, 7.2 Predicting the Future in an Uncertain World, 7.4 Down for the Count

7.1 Chance Surprises, 7.2 Predicting the Future in an Uncertain World, 7.4 Down for the Count 7.1 Chance Surprises, 7.2 Predicting the Future in an Uncertain World, 7.4 Down for the Count Probability deals with predicting the outcome of future experiments in a quantitative way. The experiments

More information

Mixed Counting Problems

Mixed Counting Problems We have studied a number of counting principles and techniques since the beginning of the course and when we tackle a counting problem, we may have to use one or a combination of these principles. The

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

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

Empirical (or statistical) probability) is based on. The empirical probability of an event E is the frequency of event E. Probability and Statistics Chapter 3 Notes Section 3-1 I. Probability Experiments. A. When weather forecasters say There is a 90% chance of rain tomorrow, or a doctor says There is a 35% chance of a successful

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

1 of 5 7/16/2009 6:57 AM Virtual Laboratories > 13. Games of Chance > 1 2 3 4 5 6 7 8 9 10 11 3. Simple Dice Games In this section, we will analyze several simple games played with dice--poker dice, chuck-a-luck,

More information

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

1) 1) 2) 2) 3) 3) 4) 4) 5) 5) 6) 6) 7) 7) 8) 8) 9) 9) 10) 10) 11) 11) 12) 12) Review Test 1 Math 1332 Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Write a word description of the set. 1) 1) {26, 28, 30, 32,..., 100} List

More information

Permutation. Lesson 5

Permutation. Lesson 5 Permutation Lesson 5 Objective Students will be able to understand that, just as with simple events, the probability of a compound event is the fraction of outcomes in the sample space for which the compound

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

Week 1: Probability models and counting

Week 1: Probability models and counting Week 1: Probability models and counting Part 1: Probability model Probability theory is the mathematical toolbox to describe phenomena or experiments where randomness occur. To have a probability model

More information

Permutations. Used when "ORDER MATTERS"

Permutations. Used when ORDER MATTERS Date: Permutations Used when "ORDER MATTERS" Objective: Evaluate expressions involving factorials. (AN6) Determine the number of possible arrangements (permutations) of a list of items. (AN8) 1) Mrs. Hendrix,

More information

13.3 Permutations and Combinations

13.3 Permutations and Combinations 13.3 Permutations and Combinations There are 6 people who want to use an elevator. There is only room for 4 people. How many ways can 6 people try to fill this elevator (one at a time)? There are 6 people

More information

Lotto! Online Product Guide

Lotto! Online Product Guide BCLC Lotto! Online Product Guide Resource Manual for Lottery Retailers October 18, 2016 The focus of this document is to provide retailers the tools needed in order to feel knowledgeable when selling and

More information

Case 1: If Denver is the first city visited, then the outcome looks like: ( D ).

Case 1: If Denver is the first city visited, then the outcome looks like: ( D ). 2.37. (a) Think of each city as an object. Each one is distinct. Therefore, there are 6! = 720 different itineraries. (b) Envision the process of selecting an itinerary as a random experiment with sample

More information

Unit 5, Activity 1, The Counting Principle

Unit 5, Activity 1, The Counting Principle Unit 5, Activity 1, The Counting Principle Directions: With a partner find the answer to the following problems. 1. A person buys 3 different shirts (Green, Blue, and Red) and two different pants (Khaki

More information

10.1 Applying the Counting Principle and Permutations (helps you count up the number of possibilities!)

10.1 Applying the Counting Principle and Permutations (helps you count up the number of possibilities!) 10.1 Applying the Counting Principle and Permutations (helps you count up the number of possibilities!) Example 1: Pizza You are buying a pizza. You have a choice of 3 crusts, 4 cheeses, 5 meat toppings,

More information

Permutations & Combinations

Permutations & Combinations Permutations & Combinations Extension 1 Mathematics HSC Revision UOW PERMUTATIONS AND COMBINATIONS: REVIEW 1. A combination lock has 4 dials each with 10 digits. How many possible arrangements are there?

More information

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}?

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}? 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}? 3. How many permutations of {a, b, c, d, e, f, g} end with

More information

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

Learning Objectives for Section 7.4 Permutations and Combinations. 7.4 Permutations and Combinations Learning Objectives for Section 7.4 Permutations and Combinations The student will be able to set up and compute factorials. The student will be able to apply and calculate permutations. The student will

More information

2 Event is equally likely to occur or not occur. When all outcomes are equally likely, the theoretical probability that an event A will occur is:

2 Event is equally likely to occur or not occur. When all outcomes are equally likely, the theoretical probability that an event A will occur is: 10.3 TEKS a.1, a.4 Define and Use Probability Before You determined the number of ways an event could occur. Now You will find the likelihood that an event will occur. Why? So you can find real-life geometric

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

Uk49s lunchtime predictions Split the cost with more people and save money Buy more tickets on your current budget More tickets means more chances of

Uk49s lunchtime predictions Split the cost with more people and save money Buy more tickets on your current budget More tickets means more chances of Uk49s lunchtime predictions Split the cost with more people and save money Buy more tickets on your current budget More tickets means more chances of winning Every ticket is a winner. GD Lotto Play the

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

Find the probability of an event by using the definition of probability

Find the probability of an event by using the definition of probability LESSON 10-1 Probability Lesson Objectives Find the probability of an event by using the definition of probability Vocabulary experiment (p. 522) trial (p. 522) outcome (p. 522) sample space (p. 522) event

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

Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY

Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY 1. Jack and Jill do not like washing dishes. They decide to use a random method to select whose turn it is. They put some red and blue

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

10-1. Combinations. Vocabulary. Lesson. Mental Math. able to compute the number of subsets of size r.

10-1. Combinations. Vocabulary. Lesson. Mental Math. able to compute the number of subsets of size r. Chapter 10 Lesson 10-1 Combinations BIG IDEA With a set of n elements, it is often useful to be able to compute the number of subsets of size r Vocabulary combination number of combinations of n things

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

Combinatorics and Intuitive Probability

Combinatorics and Intuitive Probability Chapter Combinatorics and Intuitive Probability The simplest probabilistic scenario is perhaps one where the set of possible outcomes is finite and these outcomes are all equally likely. A subset of the

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

We introduced the Counting Principle earlier in the chapter.

We introduced the Counting Principle earlier in the chapter. Section 4.6: The Counting Principle and Permutations We introduced the Counting Principle earlier in the chapter. Counting Principle: If a first experiment can be performed in M distinct ways and a second

More information

Grade 7/8 Math Circles February 25/26, Probability

Grade 7/8 Math Circles February 25/26, Probability Faculty of Mathematics Waterloo, Ontario N2L 3G1 Probability Grade 7/8 Math Circles February 25/26, 2014 Probability Centre for Education in Mathematics and Computing Probability is the study of how likely

More information

MAT 17: Introduction to Mathematics Final Exam Review Packet. B. Use the following definitions to write the indicated set for each exercise below:

MAT 17: Introduction to Mathematics Final Exam Review Packet. B. Use the following definitions to write the indicated set for each exercise below: MAT 17: Introduction to Mathematics Final Exam Review Packet A. Using set notation, rewrite each set definition below as the specific collection of elements described enclosed in braces. Use the following

More information

Washington s Lottery: Daily Race Game Evaluation Study TOPLINE RESULTS. November 2009

Washington s Lottery: Daily Race Game Evaluation Study TOPLINE RESULTS. November 2009 Washington s Lottery: Daily Race Game Evaluation Study TOPLINE RESULTS November 2009 Study Objectives & Methodology Background & Objectives Washington s Lottery is in the process of evaluating two daily

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

M146 - Chapter 5 Handouts. Chapter 5

M146 - Chapter 5 Handouts. Chapter 5 Chapter 5 Objectives of chapter: Understand probability values. Know how to determine probability values. Use rules of counting. Section 5-1 Probability Rules What is probability? It s the of the occurrence

More information

November 11, Chapter 8: Probability: The Mathematics of Chance

November 11, Chapter 8: Probability: The Mathematics of Chance Chapter 8: Probability: The Mathematics of Chance November 11, 2013 Last Time Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Probability Rules Probability Rules Rule 1.

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

Mini-Lecture 6.1 Discrete Random Variables

Mini-Lecture 6.1 Discrete Random Variables Mini-Lecture 6.1 Discrete Random Variables Objectives 1. Distinguish between discrete and continuous random variables 2. Identify discrete probability distributions 3. Construct probability histograms

More information

Probability. March 06, J. Boulton MDM 4U1. P(A) = n(a) n(s) Introductory Probability

Probability. March 06, J. Boulton MDM 4U1. P(A) = n(a) n(s) Introductory Probability Most people think they understand odds and probability. Do you? Decision 1: Pick a card Decision 2: Switch or don't Outcomes: Make a tree diagram Do you think you understand probability? Probability Write

More information

Heads Up! A c t i v i t y 5. The Problem. Name Date

Heads Up! A c t i v i t y 5. The Problem. Name Date . Name Date A c t i v i t y 5 Heads Up! In this activity, you will study some important concepts in a branch of mathematics known as probability. You are using probability when you say things like: It

More information

Student activity sheet Gambling in Australia quick quiz

Student activity sheet Gambling in Australia quick quiz Student activity sheet Gambling in Australia quick quiz Read the following statements, then circle if you think the statement is true or if you think it is false. 1 On average people in North America spend

More information

Intralot 318 West Adams Street Suite 1104 Chicago, IL Tel:

Intralot 318 West Adams Street Suite 1104 Chicago, IL Tel: Intralot 318 West Adams Street Suite 1104 Chicago, IL Tel: 678-473-7200 www.intralot.com INTRALOT, 2008 All rights reserved. All copyright, intellectual and industrial rights in this document and in the

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

Mathematics Probability: Combinations

Mathematics Probability: Combinations a place of mind F A C U L T Y O F E D U C A T I O N Department of Curriculum and Pedagogy Mathematics Probability: Combinations Science and Mathematics Education Research Group Supported by UBC Teaching

More information

Permutations. and. Combinations

Permutations. and. Combinations Permutations and Combinations Fundamental Counting Principle Fundamental Counting Principle states that if an event has m possible outcomes and another independent event has n possible outcomes, then there

More information

Read & Download (PDF Kindle) Lotto Winning Wheels For Powerball & Mega Millions, 2006 Edition

Read & Download (PDF Kindle) Lotto Winning Wheels For Powerball & Mega Millions, 2006 Edition Read & Download (PDF Kindle) Lotto Winning Wheels For Powerball & Mega Millions, 2006 Edition The new 2006 2nd edition of Gail Howard s book, Lotto Winning Wheels for Powerball & Mega Millions, has several

More information

Chapter 11: Probability and Counting Techniques

Chapter 11: Probability and Counting Techniques Chapter 11: Probability and Counting Techniques Diana Pell Section 11.3: Basic Concepts of Probability Definition 1. A sample space is a set of all possible outcomes of an experiment. Exercise 1. An experiment

More information

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman:

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman: Math 22 Fall 2017 Homework 2 Drew Armstrong Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman: Section 1.2, Exercises 5, 7, 13, 16. Section 1.3, Exercises,

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

Chapter 3: Probability (Part 1)

Chapter 3: Probability (Part 1) Chapter 3: Probability (Part 1) 3.1: Basic Concepts of Probability and Counting Types of Probability There are at least three different types of probability Subjective Probability is found through people

More information

18.S34 (FALL, 2007) PROBLEMS ON PROBABILITY

18.S34 (FALL, 2007) PROBLEMS ON PROBABILITY 18.S34 (FALL, 2007) PROBLEMS ON PROBABILITY 1. Three closed boxes lie on a table. One box (you don t know which) contains a $1000 bill. The others are empty. After paying an entry fee, you play the following

More information

Chapter Permutations and Combinations. Section 4 Permutations and Combinations. Example. Definition of n Factorial (n!)

Chapter Permutations and Combinations. Section 4 Permutations and Combinations. Example. Definition of n Factorial (n!) Chapter 7 Logic, Sets, and Counting Section 4 Permutations and Combinations 7.4 Permutations and Combinations For more complicated problems, we will need to develop two important concepts: permutations

More information

Permutations and Combinations

Permutations and Combinations Permutations and Combinations Rosen, Chapter 5.3 Motivating question In a family of 3, how many ways can we arrange the members of the family in a line for a photograph? 1 Permutations A permutation of

More information

EECS 203 Spring 2016 Lecture 15 Page 1 of 6

EECS 203 Spring 2016 Lecture 15 Page 1 of 6 EECS 203 Spring 2016 Lecture 15 Page 1 of 6 Counting We ve been working on counting for the last two lectures. We re going to continue on counting and probability for about 1.5 more lectures (including

More information

Counting Things. Tom Davis March 17, 2006

Counting Things. Tom Davis   March 17, 2006 Counting Things Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles March 17, 2006 Abstract We present here various strategies for counting things. Usually, the things are patterns, or

More information

Objectives: Permutations. Fundamental Counting Principle. Fundamental Counting Principle. Fundamental Counting Principle

Objectives: Permutations. Fundamental Counting Principle. Fundamental Counting Principle. Fundamental Counting Principle and Objectives:! apply fundamental counting principle! compute permutations! compute combinations HL2 Math - Santowski! distinguish permutations vs combinations can be used determine the number of possible

More information

Week in Review #5 ( , 3.1)

Week in Review #5 ( , 3.1) Math 166 Week-in-Review - S. Nite 10/6/2012 Page 1 of 5 Week in Review #5 (2.3-2.4, 3.1) n( E) In general, the probability of an event is P ( E) =. n( S) Distinguishable Permutations Given a set of n objects

More information

CSC/MTH 231 Discrete Structures II Spring, Homework 5

CSC/MTH 231 Discrete Structures II Spring, Homework 5 CSC/MTH 231 Discrete Structures II Spring, 2010 Homework 5 Name 1. A six sided die D (with sides numbered 1, 2, 3, 4, 5, 6) is thrown once. a. What is the probability that a 3 is thrown? b. What is the

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

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

Introduction. Firstly however we must look at the Fundamental Principle of Counting (sometimes referred to as the multiplication rule) which states: Worksheet 4.11 Counting Section 1 Introduction When looking at situations involving counting it is often not practical to count things individually. Instead techniques have been developed to help us count

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

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY Probability is the Probability is used in many real-world fields, such as insurance, medical research, law enforcement, and political science. Objectives:

More information

What determines your personal success?

What determines your personal success? What determines your personal success? A lot, of people have many different answers. They believe it s their intelligence or their strengths. So which is it for you? What do you think determines YOUR personal

More information

OCR Statistics 1. Probability. Section 2: Permutations and combinations. Factorials

OCR Statistics 1. Probability. Section 2: Permutations and combinations. Factorials OCR Statistics Probability Section 2: Permutations and combinations Notes and Examples These notes contain subsections on Factorials Permutations Combinations Factorials An important aspect of life is

More information

Combinatorics. Chapter Permutations. Counting Problems

Combinatorics. Chapter Permutations. Counting Problems Chapter 3 Combinatorics 3.1 Permutations Many problems in probability theory require that we count the number of ways that a particular event can occur. For this, we study the topics of permutations and

More information

Slide 1 Math 1520, Lecture 15

Slide 1 Math 1520, Lecture 15 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

More information

Chapter 4. Probability and Counting Rules. McGraw-Hill, Bluman, 7 th ed, Chapter 4

Chapter 4. Probability and Counting Rules. McGraw-Hill, Bluman, 7 th ed, Chapter 4 Chapter 4 Probability and Counting Rules McGraw-Hill, Bluman, 7 th ed, Chapter 4 Chapter 4 Overview Introduction 4-1 Sample Spaces and Probability 4-2 Addition Rules for Probability 4-3 Multiplication

More information

Derive Poker Winning Probability by Statistical JAVA Simulation

Derive Poker Winning Probability by Statistical JAVA Simulation Proceedings of the 2 nd European Conference on Industrial Engineering and Operations Management (IEOM) Paris, France, July 26-27, 2018 Derive Poker Winning Probability by Statistical JAVA Simulation Mason

More information

Probability & Expectation. Professor Kevin Gold

Probability & Expectation. Professor Kevin Gold Probability & Expectation Professor Kevin Gold Review of Probability so Far (1) Probabilities are numbers in the range [0,1] that describe how certain we should be of events If outcomes are equally likely

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