Math 1320 Chapter 6: Sets and Counting 6.1 Sets and Set Operations.

Slides:



Advertisements
Similar presentations
Copyright © Cengage Learning. All rights reserved.
Advertisements

Probability Three basic types of probability: Probability as counting
1 Counting. 2 Situations where counting techniques are used  You toss a pair of dice in a casino game. You win if the numbers showing face up have a.
Introduction Probability is a number from 0 to 1 inclusive or a percent from 0% to 100% inclusive that indicates how likely an event is to occur. In the.
Math notebook, pencil, and possibly calculator. Definitions  An outcome is the result of a single trial of an experiment.  The sample space of an experiment.
Describing Probability
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Introduction to Probability
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 15 Chances, Probabilities, and Odds 15.1Random Experiments and Sample.
Math 310 Section 7.2 Probability. Succession of Events So far, our discussion of events have been in terms of a single stage scenario. We might be looking.
Counting Elements in a List How many integers in the list from 1 to 10? How many integers in the list from m to n? (assuming m
Chapter 2 The Basic Concepts of Set Theory © 2008 Pearson Addison-Wesley. All rights reserved.
Counting Principles and Probability Digital Lesson.
Copyright © 2015, 2011, 2008 Pearson Education, Inc. Chapter 7, Unit A, Slide 1 Probability: Living With The Odds 7.
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 15 Chances, Probabilities, and Odds 15.1Random Experiments and.
The probable is what usually happens. Aristotle Chapter 6: Probability.
Great Theoretical Ideas In Computer Science Steven Rudich, Anupam GuptaCS Spring 2004 Lecture 22April 1, 2004Carnegie Mellon University
Probability. An experiment is any process that allows researchers to obtain observations and which leads to a single outcome which cannot be predicted.
Copyright © Cengage Learning. All rights reserved. CHAPTER 9 COUNTING AND PROBABILITY.
Chapter 3 Section 3.2 Basic Terms of Probability.
Chapter 7: Probability Lesson 2: Addition Counting Principles Mrs. Parziale.
Notes on PROBABILITY What is Probability? Probability is a number from 0 to 1 that tells you how likely something is to happen. Probability can be either.
S.CP.A.1 Probability Basics. Probability - The chance of an event occurring Experiment: Outcome: Sample Space: Event: The process of measuring or observing.
EXIT NEXT Click one of the buttons below or press the enter key BACKTOPICS Probability The MEnTe Program Math Enrichment through Technology Title V East.
Introduction to Probability © Christine Crisp “Teach A Level Maths” Statistics 1.
1 ENM 503 Block 1 Algebraic Systems Lesson 2 – The Algebra of Sets The Essence of Sets What are they?
Chapter 16 Probability. Activity Rock-Paper-Scissors Shoot Tournament 1)Pair up and choose one person to be person A and the other person B. 2)Play 9.
1 CHAPTERS 14 AND 15 (Intro Stats – 3 edition) PROBABILITY, PROBABILITY RULES, AND CONDITIONAL PROBABILITY.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
Chapter 6 Lesson 6.1 Probability 6.1: Chance Experiments and Events.
Basic Concepts of Probability
The Outwood Grange Family of Schools Let Me Count The Ways (teacher notes): 1. Obviously an important skill in problem solving is to be able to count the.
Express as a fraction the probability that the outcome for rolling two number cubes has a sum less than 7. Probability COURSE 3 LESSON 6-9 Make a table.
Probability. What is probability? Probability discusses the likelihood or chance of something happening. For instance, -- the probability of it raining.
Chapter 4 Probability Concepts Events and Probability Three Helpful Concepts in Understanding Probability: Experiment Sample Space Event Experiment.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules.
Chapter 4: Probability. Probability of an Event Definitions An experiment is the process of observing a phenomenon that has variation in its outcomes.
Warm Up: Quick Write Which is more likely, flipping exactly 3 heads in 10 coin flips or flipping exactly 4 heads in 5 coin flips ?
Probability 9.8. Copyright © by Houghton Mifflin Company, Inc. All rights reserved. 2 Definition: Experiment Any activity with an unpredictable results.
Spring 2016 COMP 2300 Discrete Structures for Computation Donghyun (David) Kim Department of Mathematics and Physics North Carolina Central University.
Math 1320 Chapter 7: Probability 7.1 Sample Spaces and Events.
Counting and Probability. Imagine tossing two coins and observing whether 0, 1, or 2 heads are obtained. Below are the results after 50 tosses Tossing.
or: why you would care about set theory
A set is a collection of objects.
PROBABILITY Probability Concepts
Chapter 4 Probability Concepts
Probability Imagine tossing two coins and observing whether 0, 1, or 2 heads are obtained. It would be natural to guess that each of these events occurs.
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
The Basic Concepts of Set Theory
PROBABILITY AND PROBABILITY RULES
Sequences, Series, and Probability
EXAMPLE 1 Find a sample space
Introduction Probability is a number from 0 to 1 inclusive or a percent from 0% to 100% inclusive that indicates how likely an event is to occur. In the.
The Basic Concepts of Set Theory
Chapter 2 The Basic Concepts of Set Theory
Probability.
COUNTING AND PROBABILITY
Chapter 2 The Basic Concepts of Set Theory
Digital Lesson Probability.
Sets A set is simply any collection of objects
The probable is what usually happens. Aristotle
Sample Spaces, Subsets and Basic Probability
e is the possible out comes for a model
SPCR.1a – Lesson A Levels 1 – 3 Describe events as subsets of a sample space and use Venn diagrams to represent intersections, unions, and complements.
Unit 6: Probability: What are the Chances?
Presentation transcript:

Math 1320 Chapter 6: Sets and Counting 6.1 Sets and Set Operations

Getting Started Definitions – A set is a collection of items. These items are referred to as elements of the set. Fact: We usually use capital letters to represent the sets and lower case letter to indicate the elements. Therefore, a is an element of the set A.

Notation

Obvious(?) Facts A finite set has finitely many elements. – A finite set might be the set of students in this classroom. An infinite set does not have finitely many elements. – The set of natural numbers never ends so you cannot count them all and is therefore infinite.

Examples Some standard sets and what they contain: – A standard coin has a set of outcomes when flipped and noting the side facing up that is equal to {H, T}. – If two coins are tossed there are two possibilities: Indistinguishable = {HH, HT, TT} Distinguishable = {HH, HT, TH, TT} – For more sets involving dice, coins, and playing cards, see the handout titled “dice coin card” on my website.

More Notation

Definitions

Examples: List the elements of each set. 1.The set F consisting of the four seasons. 2.The set of outcomes of tossing two distinguishable coins. 3.The set of all outcomes of tossing two indistinguishable dice such that the sum of the numbers is 8. 4.The set of all outcomes of tossing two distinguishable dice such that the sum of the numbers is 8.

Examples: List the elements of each set. 1.The set F consisting of the four seasons. Solutions: F = {spring, summer, fall, winter} Note – the order (or language) doesn’t matter

Examples: List the elements of each set. 2. The set of outcomes of tossing two distinguishable coins. Answer: If the coins are distinguishable, lets make one a quarter and the other a penny. The set of outcomes is then {HH, HT, TH, TT}.

Examples: List the elements of each set. 3. The set of all outcomes of tossing two indistinguishable dice such that the sum of the numbers is 8. Answer: They are indistinguishable so we won’t know if we rolled a 6 and then a 2 or a 2 and then a 6. We will write each sum only one time to get {(2,6), (3, 5), (4,4)}.

Examples: List the elements of each set. 4. The set of all outcomes of tossing two distinguishable dice such that the sum of the numbers is 8. Answer: Now the dice are distinguishable. Let’s suppose one is blue and the other is red. Now the order they are rolled matters. We get the solution {(2,6), (3,5), (4,4), (5,3), (6,2)}

Venn diagram example Draw a Venn diagram that illustrates the relationships among the given sets. S = {eBay, Google, Amazon, OHagan, Hotmail} A = {Amazon, Ohagan} B = {eBay, Amazon} C = {Amazon, Hotmail}

Examples

Cartesian Products