Math 10 Chapter 2 Handout Helene Payne. Name:
|
|
- Antony Simon
- 7 years ago
- Views:
Transcription
1 Name: Sets set is a well-defined collection of distinct objects. Well-defined means that we can determine whether an object is an element of a set or not. Distinct means that we can tell the objects apart. Basic Set Definitions Well-defined Set The set of natural numbers between 3 and 7, inclusive: {1, 2, 3, 4, 5, 6, 7}. { a } The set of rational numbers: b a, b are integers, b 0. Not Well-defined Set The set of large numbers. Set with Non-distinct Objects {, B, C, C} niversal set - In a given problem, the single larger set from which all the elements of the sets under discussion are drawn. Empty set or Null set - or {} set containing no elements. Equivalent Sets Sets and B are equivalent if and only if n() = n(b). One-to-One Correspondence If two sets have the same cardinality, they can be put in a one-to-one correspondence by matching each element in one set with a different element in the other set. Venn diagram tool used in visualizing sets invented by John Venn ( ). B
2 Set definitions Definition Example is an element of 2 {0, 1, 2, 3, 4, 5, 6} / is not an element of 2 / {1, 3, 5} is a subset of {1, 3, 5} {0, 1, 2, 3, 4, 5, 6, 7, 8} {1, 3, 5} {1, 3, 5} is not a subset of {0, 1, 2, 3, 4, 5, 6} {1, 3, 5} is a proper subset of {3, 5} {1, 3, 5} is not a proper subset of {1, 3, 5} {1, 3, 5} = set equality {1, 3, 5} = {3, 1, 5} The order of elements does not matter Number of Subsets of Set If n() = k, then has 2 k subsets and 2 k 1 proper subsets. 1. Determine whether is a subset of B. Draw a Venn diagram for each case. (a) = {2, 3, 4} and B = {1, 2, 3, 4, 5} (b) = {0, 2, 3, 4} and B = {1, 2, 3, 4, 5} The Complement and Set Definitions involving Two Sets For the examples in the table below, suppose set = {0, 2, 4, 6, 8}, set B = {1, 3, 5, 7, 9}, set C = {1, 2, 3, 4} and the universal set, = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} Set definitions Definition Example The intersection of two sets B = and B = the set of C = {2, 4} all elements in both and B The union of two sets and B = C = {0, 1, 2, 3, 4, 6, 8} the set of all elements B = in either or B or both The complement of a set, C = {0, 5, 6, 7, 8, 9} = all elements in the = {1, 3, 5, 7, 9} = B niversal set,, not in set Two sets, and B are disjoint, and B are disjoint, if B =. since B = B and C are not disjoint, since B C = {1, 3} Page 2
3 The Number of Elements in a Set - Cardinality n() denotes the number of elements in, if is a finite set. 2. Calculate n() for each set below. (a) = {1, 2, π, e, 11, 4 123}, n() = (b) = the letters of the alphabet, n() = (c) =, n() = Important Counting Formulas The Inclusion-Exclusion Principle 1. n( B) = n() + n(b) n( B), or n( or B) = n() + n(b) n( and B) The Complement Principle 2. n() = n() n( ) 3. Verify the counting formulas above using the Venn diagram below. Each element is represented by a diamond. B (a) n( B) = n() = n(b) = n( B) = (b) n() = n() = n( ) = Page 3
4 Set Difference Law: B = B Double Complement Law: ( ) = Cartesian Product: The cartesian product of a set and set B, B, cross B is the set of all ordered pairs, (a, b) with a and b B. 4. For the sets below, find the set find the set B: (a) = {red, blue, white}, and B = {Ford, Toyota} (b) = {x, y, z}, and B = {0, 1, 2} Page 4
5 5. For the sets = {a, b, c, d, e, g}, B = {c, d, e, f, h, i}, C = {e, g, h, j, l} and the universal set, = {a, b, c, d, e, f, g, h, i, j, k, l, m}, se a Venn diagram to illustrate the three sets above. Then find: (a) C (b) ( B) (c) B (d) B (e) C 6. By labeling regions in a Venn diagram, show that: ( B) = B. B Set Region Set Region Labels Labels B B B ( B) B De Morgan s Laws ( B) = B ( B) = B Page 5
6 7. By labeling regions in a Venn diagram, shade the following set: ( B) C. B C Set B ( B) C ( B) C Region Labels Page 6
7 8. Is (B C) = ( B) ( C)? By labeling regions in a Venn diagram, check if both sets are represented by the same regions or not. B C /09/10 50 Set Region Set Region Labels Labels B B C C (B C) ( B) ( C) 9. se set statements to write descriptions of the shaded areas. se union, intersection and complement as necessary. More than one answer may be possible. Page 7
8 10. Landscape Purchases gway Lawn and Garden collected the following information regarding purchases from 130 of its customers. 74 purchased shrubs. 70 purchased trees. 41 purchased both shrubs and trees. Let S be the set of customers who purchased shrubs and T be the set of customers who purchased trees. se the Venn diagram to answer the questions below. Of those surveyed, (a) how many purchased only shrubs? (b) how many purchased only trees? (c) how many did not purchase either of these items? Page 8
9 11. Electronic Devices In a survey of college students, it was found that 356 owned an ipod. 293 owned a laptop. 285 owned a gaming system. 193 owned an ipod and a laptop. 200 owned an ipod and a gaming system. 139 owned a laptop and a gaming system. 68 owned an ipod, a laptop, and a gaming system. 26 owned none of these devices. Let I be the set of students who owned an ipod, L be the set of students who owned a laptop, and let G be the set of students who owned a gaming system. se the Venn diagram to answer the questions below. Page 9
10 Of those surveyed, (a) How many college students were surveyed? Of the college students surveyed, how many owned (b) an ipod and a gaming system, but not a laptop? (c) a laptop, but neither an ipod nor a gaming system? (d) exactly two of these devices? (e) at least one of these devices? Page 10
11 12. Let the universal set, be the set of all Cabrillo College students, let E be the set of all Cabrillo College students enrolled in an English class, let G be the set of all Cabrillo College students enrolled in a geology class, and let M be the set of all Cabrillo College students enrolled in a math class. (a) se the given set symbols to construct a Venn diagram identifying the various sets of students. (b) se the given set symbols along with, or, to identify the set of students enrolled in English, but not in geology or math. 13. Show that the set is infinite by placing it in a one-to-one correspondence with a proper subset of itself. Be sure to show the pairings of the general terms of the sets. (a) {30, 31, 32, 33, 34,...} (b) { 6 13, 7 13, 8 13, 9 13,...} 14. Show that the set has cardinal number ℵ 0 by establishing a one-to-one correspondence between the set of counting numbers and the given set. Be sure to show the pairings of the general terms of the sets. (a) {0, 2, 4, 6, 8,...} (b) { 1 2, 2 3, 3 4, 4 5,...} Page 11
Set operations and Venn Diagrams. COPYRIGHT 2006 by LAVON B. PAGE
Set operations and Venn Diagrams Set operations and Venn diagrams! = { x x " and x " } This is the intersection of and. # = { x x " or x " } This is the union of and. n element of! belongs to both and,
More informationTHE LANGUAGE OF SETS AND SET NOTATION
THE LNGGE OF SETS ND SET NOTTION Mathematics is often referred to as a language with its own vocabulary and rules of grammar; one of the basic building blocks of the language of mathematics is the language
More informationLecture 1. Basic Concepts of Set Theory, Functions and Relations
September 7, 2005 p. 1 Lecture 1. Basic Concepts of Set Theory, Functions and Relations 0. Preliminaries...1 1. Basic Concepts of Set Theory...1 1.1. Sets and elements...1 1.2. Specification of sets...2
More information7 Relations and Functions
7 Relations and Functions In this section, we introduce the concept of relations and functions. Relations A relation R from a set A to a set B is a set of ordered pairs (a, b), where a is a member of A,
More informationMath/Stats 425 Introduction to Probability. 1. Uncertainty and the axioms of probability
Math/Stats 425 Introduction to Probability 1. Uncertainty and the axioms of probability Processes in the real world are random if outcomes cannot be predicted with certainty. Example: coin tossing, stock
More informationMath 166 - Week in Review #4. A proposition, or statement, is a declarative sentence that can be classified as either true or false, but not both.
Math 166 Spring 2007 c Heather Ramsey Page 1 Math 166 - Week in Review #4 Sections A.1 and A.2 - Propositions, Connectives, and Truth Tables A proposition, or statement, is a declarative sentence that
More informationLecture Note 1 Set and Probability Theory. MIT 14.30 Spring 2006 Herman Bennett
Lecture Note 1 Set and Probability Theory MIT 14.30 Spring 2006 Herman Bennett 1 Set Theory 1.1 Definitions and Theorems 1. Experiment: any action or process whose outcome is subject to uncertainty. 2.
More informationAutomata Theory. Şubat 2006 Tuğrul Yılmaz Ankara Üniversitesi
Automata Theory Automata theory is the study of abstract computing devices. A. M. Turing studied an abstract machine that had all the capabilities of today s computers. Turing s goal was to describe the
More informationStatistics 100A Homework 2 Solutions
Statistics Homework Solutions Ryan Rosario Chapter 9. retail establishment accepts either the merican Express or the VIS credit card. total of percent of its customers carry an merican Express card, 6
More informationCOUNTING SUBSETS OF A SET: COMBINATIONS
COUNTING SUBSETS OF A SET: COMBINATIONS DEFINITION 1: Let n, r be nonnegative integers with r n. An r-combination of a set of n elements is a subset of r of the n elements. EXAMPLE 1: Let S {a, b, c, d}.
More informationA Little Set Theory (Never Hurt Anybody)
A Little Set Theory (Never Hurt Anybody) Matthew Saltzman Department of Mathematical Sciences Clemson University Draft: August 21, 2013 1 Introduction The fundamental ideas of set theory and the algebra
More informationGreatest Common Factors and Least Common Multiples with Venn Diagrams
Greatest Common Factors and Least Common Multiples with Venn Diagrams Stephanie Kolitsch and Louis Kolitsch The University of Tennessee at Martin Martin, TN 38238 Abstract: In this article the authors
More informationProbability: Terminology and Examples Class 2, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom
Probability: Terminology and Examples Class 2, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom 1 Learning Goals 1. Know the definitions of sample space, event and probability function. 2. Be able to
More informationLesson 1. Basics of Probability. Principles of Mathematics 12: Explained! www.math12.com 314
Lesson 1 Basics of Probability www.math12.com 314 Sample Spaces: Probability Lesson 1 Part I: Basic Elements of Probability Consider the following situation: A six sided die is rolled The sample space
More informationCheck Skills You ll Need. New Vocabulary union intersection disjoint sets. Union of Sets
NY-4 nion and Intersection of Sets Learning Standards for Mathematics..31 Find the intersection of sets (no more than three sets) and/or union of sets (no more than three sets). Check Skills You ll Need
More informationMathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson
Mathematics for Computer Science/Software Engineering Notes for the course MSM1F3 Dr. R. A. Wilson October 1996 Chapter 1 Logic Lecture no. 1. We introduce the concept of a proposition, which is a statement
More informationSOLUTIONS TO ASSIGNMENT 1 MATH 576
SOLUTIONS TO ASSIGNMENT 1 MATH 576 SOLUTIONS BY OLIVIER MARTIN 13 #5. Let T be the topology generated by A on X. We want to show T = J B J where B is the set of all topologies J on X with A J. This amounts
More informationLecture 1 Introduction Properties of Probability Methods of Enumeration Asrat Temesgen Stockholm University
Lecture 1 Introduction Properties of Probability Methods of Enumeration Asrat Temesgen Stockholm University 1 Chapter 1 Probability 1.1 Basic Concepts In the study of statistics, we consider experiments
More informationFormal Languages and Automata Theory - Regular Expressions and Finite Automata -
Formal Languages and Automata Theory - Regular Expressions and Finite Automata - Samarjit Chakraborty Computer Engineering and Networks Laboratory Swiss Federal Institute of Technology (ETH) Zürich March
More informationStatistics 100A Homework 1 Solutions
Chapter 1 tatistics 100A Homework 1 olutions Ryan Rosario 1. (a) How many different 7-place license plates are possible if the first 2 places are for letters and the other 5 for numbers? The first two
More informationAutomata and Formal Languages
Automata and Formal Languages Winter 2009-2010 Yacov Hel-Or 1 What this course is all about This course is about mathematical models of computation We ll study different machine models (finite automata,
More informationComplement. If A is an event, then the complement of A, written A c, means all the possible outcomes that are not in A.
Complement If A is an event, then the complement of A, written A c, means all the possible outcomes that are not in A. For example, if A is the event UNC wins at least 5 football games, then A c is the
More informationINTRODUCTORY SET THEORY
M.Sc. program in mathematics INTRODUCTORY SET THEORY Katalin Károlyi Department of Applied Analysis, Eötvös Loránd University H-1088 Budapest, Múzeum krt. 6-8. CONTENTS 1. SETS Set, equal sets, subset,
More informationSTAT 319 Probability and Statistics For Engineers PROBABILITY. Engineering College, Hail University, Saudi Arabia
STAT 319 robability and Statistics For Engineers LECTURE 03 ROAILITY Engineering College, Hail University, Saudi Arabia Overview robability is the study of random events. The probability, or chance, that
More informationDiscrete Mathematics
Discrete Mathematics Chih-Wei Yi Dept. of Computer Science National Chiao Tung University March 16, 2009 2.1 Sets 2.1 Sets 2.1 Sets Basic Notations for Sets For sets, we ll use variables S, T, U,. We can
More informationAll of mathematics can be described with sets. This becomes more and
CHAPTER 1 Sets All of mathematics can be described with sets. This becomes more and more apparent the deeper into mathematics you go. It will be apparent in most of your upper level courses, and certainly
More informationCourse Syllabus. MATH 1350-Mathematics for Teachers I. Revision Date: 8/15/2016
Course Syllabus MATH 1350-Mathematics for Teachers I Revision Date: 8/15/2016 Catalog Description: This course is intended to build or reinforce a foundation in fundamental mathematics concepts and skills.
More informationProbability: The Study of Randomness Randomness and Probability Models. IPS Chapters 4 Sections 4.1 4.2
Probability: The Study of Randomness Randomness and Probability Models IPS Chapters 4 Sections 4.1 4.2 Chapter 4 Overview Key Concepts Random Experiment/Process Sample Space Events Probability Models Probability
More informationMathematics Review for MS Finance Students
Mathematics Review for MS Finance Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,
More informationSet Theory. 2.1 Presenting Sets CHAPTER2
CHAPTER2 Set Theory 2.1 Presenting Sets Certain notions which we all take for granted are harder to define precisely than one might expect. In Taming the Infinite: The Story of Mathematics, Ian Stewart
More informationCS 3719 (Theory of Computation and Algorithms) Lecture 4
CS 3719 (Theory of Computation and Algorithms) Lecture 4 Antonina Kolokolova January 18, 2012 1 Undecidable languages 1.1 Church-Turing thesis Let s recap how it all started. In 1990, Hilbert stated a
More informationAccess The Mathematics of Internet Search Engines
Lesson1 Access The Mathematics of Internet Search Engines You are living in the midst of an ongoing revolution in information processing and telecommunications. Telephones, televisions, and computers are
More information6.3 Conditional Probability and Independence
222 CHAPTER 6. PROBABILITY 6.3 Conditional Probability and Independence Conditional Probability Two cubical dice each have a triangle painted on one side, a circle painted on two sides and a square painted
More informationHow To Understand And Solve A Linear Programming Problem
At the end of the lesson, you should be able to: Chapter 2: Systems of Linear Equations and Matrices: 2.1: Solutions of Linear Systems by the Echelon Method Define linear systems, unique solution, inconsistent,
More informationQuestion 31 38, worth 5 pts each for a complete solution, (TOTAL 40 pts) (Formulas, work
Exam Wk 6 Name Questions 1 30 are worth 2 pts each for a complete solution. (TOTAL 60 pts) (Formulas, work, or detailed explanation required.) Question 31 38, worth 5 pts each for a complete solution,
More informationWorksheet for Teaching Module Probability (Lesson 1)
Worksheet for Teaching Module Probability (Lesson 1) Topic: Basic Concepts and Definitions Equipment needed for each student 1 computer with internet connection Introduction In the regular lectures in
More informationLicensed to: Printed in the United States of America 1 2 3 4 5 6 7 15 14 13 12 11
Licensed to: CengageBrain User This is an electronic version of the print textbook. Due to electronic rights restrictions, some third party content may be suppressed. Editorial review has deemed that any
More informationQuestion of the Day. Key Concepts. Vocabulary. Mathematical Ideas. QuestionofDay
QuestionofDay Question of the Day What is the probability that in a family with two children, both are boys? What is the probability that in a family with two children, both are boys, if we already know
More informationEXAM. Exam #3. Math 1430, Spring 2002. April 21, 2001 ANSWERS
EXAM Exam #3 Math 1430, Spring 2002 April 21, 2001 ANSWERS i 60 pts. Problem 1. A city has two newspapers, the Gazette and the Journal. In a survey of 1, 200 residents, 500 read the Journal, 700 read the
More informationLecture 17 : Equivalence and Order Relations DRAFT
CS/Math 240: Introduction to Discrete Mathematics 3/31/2011 Lecture 17 : Equivalence and Order Relations Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT Last lecture we introduced the notion
More informationSet Theory Basic Concepts and Definitions
Set Theory Basic Concepts and Definitions The Importance of Set Theory One striking feature of humans is their inherent need and ability to group objects according to specific criteria. Our prehistoric
More informationAutomata on Infinite Words and Trees
Automata on Infinite Words and Trees Course notes for the course Automata on Infinite Words and Trees given by Dr. Meghyn Bienvenu at Universität Bremen in the 2009-2010 winter semester Last modified:
More informationSample Induction Proofs
Math 3 Worksheet: Induction Proofs III, Sample Proofs A.J. Hildebrand Sample Induction Proofs Below are model solutions to some of the practice problems on the induction worksheets. The solutions given
More informationBasic Probability Concepts
page 1 Chapter 1 Basic Probability Concepts 1.1 Sample and Event Spaces 1.1.1 Sample Space A probabilistic (or statistical) experiment has the following characteristics: (a) the set of all possible outcomes
More informationIAM 530 ELEMENTS OF PROBABILITY AND STATISTICS INTRODUCTION
IAM 530 ELEMENTS OF PROBABILITY AND STATISTICS INTRODUCTION 1 WHAT IS STATISTICS? Statistics is a science of collecting data, organizing and describing it and drawing conclusions from it. That is, statistics
More informationBenchmark Test : Algebra 1
1 Benchmark: MA.91.A.3.3 If a ar b r, what is the value of a in terms of b and r? A b + r 1 + r B 1 + b r + b C 1 + b r D b r 1 Benchmark: MA.91.A.3.1 Simplify: 1 g(5 3) 4g 13 4 F 11 4 g 16 G g 1 H 15
More informationWHERE DOES THE 10% CONDITION COME FROM?
1 WHERE DOES THE 10% CONDITION COME FROM? The text has mentioned The 10% Condition (at least) twice so far: p. 407 Bernoulli trials must be independent. If that assumption is violated, it is still okay
More informationBasic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011
Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011 A. Miller 1. Introduction. The definitions of metric space and topological space were developed in the early 1900 s, largely
More informationBasic Concepts of Set Theory, Functions and Relations
March 1, 2006 p. 1 Basic Concepts of Set Theory, Functions and Relations 1. Basic Concepts of Set Theory...1 1.1. Sets and elements...1 1.2. Specification of sets...2 1.3. Identity and cardinality...3
More informationOpen-Ended Problem-Solving Projections
MATHEMATICS Open-Ended Problem-Solving Projections Organized by TEKS Categories TEKSING TOWARD STAAR 2014 GRADE 7 PROJECTION MASTERS for PROBLEM-SOLVING OVERVIEW The Projection Masters for Problem-Solving
More informationElements of probability theory
2 Elements of probability theory Probability theory provides mathematical models for random phenomena, that is, phenomena which under repeated observations yield di erent outcomes that cannot be predicted
More informationBook of Proof. Richard Hammack Virginia Commonwealth University
Book of Proof Richard Hammack Virginia Commonwealth University Richard Hammack (publisher) Department of Mathematics & Applied Mathematics P.O. Box 842014 Virginia Commonwealth University Richmond, Virginia,
More information(b) You draw two balls from an urn and track the colors. When you start, it contains three blue balls and one red ball.
Examples for Chapter 3 Probability Math 1040-1 Section 3.1 1. Draw a tree diagram for each of the following situations. State the size of the sample space. (a) You flip a coin three times. (b) You draw
More informationSection 6.2 Definition of Probability
Section 6.2 Definition of Probability Probability is a measure of the likelihood that an event occurs. For example, if there is a 20% chance of rain tomorrow, that means that the probability that it will
More informationBasic Set Theory. 1. Motivation. Fido Sue. Fred Aristotle Bob. LX 502 - Semantics I September 11, 2008
Basic Set Theory LX 502 - Semantics I September 11, 2008 1. Motivation When you start reading these notes, the first thing you should be asking yourselves is What is Set Theory and why is it relevant?
More informationAutomata and Computability. Solutions to Exercises
Automata and Computability Solutions to Exercises Fall 25 Alexis Maciel Department of Computer Science Clarkson University Copyright c 25 Alexis Maciel ii Contents Preface vii Introduction 2 Finite Automata
More informationToothpick Squares: An Introduction to Formulas
Unit IX Activity 1 Toothpick Squares: An Introduction to Formulas O V E R V I E W Rows of squares are formed with toothpicks. The relationship between the number of squares in a row and the number of toothpicks
More information6.4 Normal Distribution
Contents 6.4 Normal Distribution....................... 381 6.4.1 Characteristics of the Normal Distribution....... 381 6.4.2 The Standardized Normal Distribution......... 385 6.4.3 Meaning of Areas under
More informationGraph Theory Lecture 3: Sum of Degrees Formulas, Planar Graphs, and Euler s Theorem Spring 2014 Morgan Schreffler Office: POT 902
Graph Theory Lecture 3: Sum of Degrees Formulas, Planar Graphs, and Euler s Theorem Spring 2014 Morgan Schreffler Office: POT 902 http://www.ms.uky.edu/~mschreffler Different Graphs, Similar Properties
More informationBasic Probability. Probability: The part of Mathematics devoted to quantify uncertainty
AMS 5 PROBABILITY Basic Probability Probability: The part of Mathematics devoted to quantify uncertainty Frequency Theory Bayesian Theory Game: Playing Backgammon. The chance of getting (6,6) is 1/36.
More information8.3 Probability Applications of Counting Principles
8. Probability Applications of Counting Principles In this section, we will see how we can apply the counting principles from the previous two sections in solving probability problems. Many of the probability
More informationCh. 13.3: More about Probability
Ch. 13.3: More about Probability Complementary Probabilities Given any event, E, of some sample space, U, of a random experiment, we can always talk about the complement, E, of that event: this is the
More informationHow To Understand The Difference Between Economic Theory And Set Theory
[1] Introduction TOPIC I INTRODUCTION AND SET THEORY Economics Vs. Mathematical Economics. "Income positively affects consumption. Consumption level can never be negative. The marginal propensity consume
More informationCartesian Products and Relations
Cartesian Products and Relations Definition (Cartesian product) If A and B are sets, the Cartesian product of A and B is the set A B = {(a, b) :(a A) and (b B)}. The following points are worth special
More information1. Prove that the empty set is a subset of every set.
1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since
More informationChapter 3. Cartesian Products and Relations. 3.1 Cartesian Products
Chapter 3 Cartesian Products and Relations The material in this chapter is the first real encounter with abstraction. Relations are very general thing they are a special type of subset. After introducing
More informationPigeonhole Principle Solutions
Pigeonhole Principle Solutions 1. Show that if we take n + 1 numbers from the set {1, 2,..., 2n}, then some pair of numbers will have no factors in common. Solution: Note that consecutive numbers (such
More informationChapter 6. 1. What is the probability that a card chosen from an ordinary deck of 52 cards is an ace? Ans: 4/52.
Chapter 6 1. What is the probability that a card chosen from an ordinary deck of 52 cards is an ace? 4/52. 2. What is the probability that a randomly selected integer chosen from the first 100 positive
More informationRegular Expressions and Automata using Haskell
Regular Expressions and Automata using Haskell Simon Thompson Computing Laboratory University of Kent at Canterbury January 2000 Contents 1 Introduction 2 2 Regular Expressions 2 3 Matching regular expressions
More informationwww.gr8ambitionz.com
Data Base Management Systems (DBMS) Study Material (Objective Type questions with Answers) Shared by Akhil Arora Powered by www. your A to Z competitive exam guide Database Objective type questions Q.1
More informationChapter 4: Probability and Counting Rules
Chapter 4: Probability and Counting Rules Learning Objectives Upon successful completion of Chapter 4, you will be able to: Determine sample spaces and find the probability of an event using classical
More informationLecture 16 : Relations and Functions DRAFT
CS/Math 240: Introduction to Discrete Mathematics 3/29/2011 Lecture 16 : Relations and Functions Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT In Lecture 3, we described a correspondence
More informationOpposites are all around us. If you move forward two spaces in a board game
Two-Color Counters Adding Integers, Part II Learning Goals In this lesson, you will: Key Term additive inverses Model the addition of integers using two-color counters. Develop a rule for adding integers.
More informationPlanning Guide. Grade 6 Factors and Multiples. Number Specific Outcome 3
Mathematics Planning Guide Grade 6 Factors and Multiples Number Specific Outcome 3 This Planning Guide can be accessed online at: http://www.learnalberta.ca/content/mepg6/html/pg6_factorsmultiples/index.html
More informationMAS113 Introduction to Probability and Statistics
MAS113 Introduction to Probability and Statistics 1 Introduction 1.1 Studying probability theory There are (at least) two ways to think about the study of probability theory: 1. Probability theory is a
More informationSet Theory: Shading Venn Diagrams
Set Theory: Shading Venn Diagrams Venn diagrams are representations of sets that use pictures. We will work with Venn diagrams involving two sets (two-circle diagrams) and three sets (three-circle diagrams).
More informationGeorg Cantor and Set Theory
Georg Cantor and Set Theory. Life Father, Georg Waldemar Cantor, born in Denmark, successful merchant, and stock broker in St Petersburg. Mother, Maria Anna Böhm, was Russian. In 856, because of father
More information5544 = 2 2772 = 2 2 1386 = 2 2 2 693. Now we have to find a divisor of 693. We can try 3, and 693 = 3 231,and we keep dividing by 3 to get: 1
MATH 13150: Freshman Seminar Unit 8 1. Prime numbers 1.1. Primes. A number bigger than 1 is called prime if its only divisors are 1 and itself. For example, 3 is prime because the only numbers dividing
More information6.045: Automata, Computability, and Complexity Or, Great Ideas in Theoretical Computer Science Spring, 2010. Class 4 Nancy Lynch
6.045: Automata, Computability, and Complexity Or, Great Ideas in Theoretical Computer Science Spring, 2010 Class 4 Nancy Lynch Today Two more models of computation: Nondeterministic Finite Automata (NFAs)
More information5 Systems of Equations
Systems of Equations Concepts: Solutions to Systems of Equations-Graphically and Algebraically Solving Systems - Substitution Method Solving Systems - Elimination Method Using -Dimensional Graphs to Approximate
More informationThis chapter is all about cardinality of sets. At first this looks like a
CHAPTER Cardinality of Sets This chapter is all about cardinality of sets At first this looks like a very simple concept To find the cardinality of a set, just count its elements If A = { a, b, c, d },
More informationMath 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand. Problem Set 1 (with solutions)
Math 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand Problem Set 1 (with solutions) About this problem set: These are problems from Course 1/P actuarial exams that I have collected over the years,
More informationTesting LTL Formula Translation into Büchi Automata
Testing LTL Formula Translation into Büchi Automata Heikki Tauriainen and Keijo Heljanko Helsinki University of Technology, Laboratory for Theoretical Computer Science, P. O. Box 5400, FIN-02015 HUT, Finland
More information3.2 Conditional Probability and Independent Events
Ismor Fischer, 5/29/2012 3.2-1 3.2 Conditional Probability and Independent Events Using population-based health studies to estimate probabilities relating potential risk factors to a particular disease,
More informationSemantics of UML class diagrams
1 Otto-von-Guericke Universität Magdeburg, Germany April 26, 2016 Sets Definition (Set) A set is a collection of objects. The basic relation is membership: x A (x is a member of A) The following operations
More informationHomework 20: Compound Probability
Homework 20: Compound Probability Definition The probability of an event is defined to be the ratio of times that you expect the event to occur after many trials: number of equally likely outcomes resulting
More informationMA651 Topology. Lecture 6. Separation Axioms.
MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES Contents 1. Random variables and measurable functions 2. Cumulative distribution functions 3. Discrete
More informationThe Graphical Method: An Example
The Graphical Method: An Example Consider the following linear program: Maximize 4x 1 +3x 2 Subject to: 2x 1 +3x 2 6 (1) 3x 1 +2x 2 3 (2) 2x 2 5 (3) 2x 1 +x 2 4 (4) x 1, x 2 0, where, for ease of reference,
More informationHoover High School Math League. Counting and Probability
Hoover High School Math League Counting and Probability Problems. At a sandwich shop there are 2 kinds of bread, 5 kinds of cold cuts, 3 kinds of cheese, and 2 kinds of dressing. How many different sandwiches
More information6.2 Permutations continued
6.2 Permutations continued Theorem A permutation on a finite set A is either a cycle or can be expressed as a product (composition of disjoint cycles. Proof is by (strong induction on the number, r, of
More informationTHE ENTITY- RELATIONSHIP (ER) MODEL CHAPTER 7 (6/E) CHAPTER 3 (5/E)
THE ENTITY- RELATIONSHIP (ER) MODEL CHAPTER 7 (6/E) CHAPTER 3 (5/E) 2 LECTURE OUTLINE Using High-Level, Conceptual Data Models for Database Design Entity-Relationship (ER) model Popular high-level conceptual
More informationConditional Probability, Independence and Bayes Theorem Class 3, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom
Conditional Probability, Independence and Bayes Theorem Class 3, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom 1 Learning Goals 1. Know the definitions of conditional probability and independence
More informationALGEBRA. sequence, term, nth term, consecutive, rule, relationship, generate, predict, continue increase, decrease finite, infinite
ALGEBRA Pupils should be taught to: Generate and describe sequences As outcomes, Year 7 pupils should, for example: Use, read and write, spelling correctly: sequence, term, nth term, consecutive, rule,
More informationLEARNING OBJECTIVES FOR THIS CHAPTER
CHAPTER 2 American mathematician Paul Halmos (1916 2006), who in 1942 published the first modern linear algebra book. The title of Halmos s book was the same as the title of this chapter. Finite-Dimensional
More informationSection 6-5 Sample Spaces and Probability
492 6 SEQUENCES, SERIES, AND PROBABILITY 52. How many committees of 4 people are possible from a group of 9 people if (A) There are no restrictions? (B) Both Juan and Mary must be on the committee? (C)
More informationYou know from calculus that functions play a fundamental role in mathematics.
CHPTER 12 Functions You know from calculus that functions play a fundamental role in mathematics. You likely view a function as a kind of formula that describes a relationship between two (or more) quantities.
More informationTeori Himpunan. Bagian III
Teori Himpunan Bagian III Teori Himpunan Himpunan: Kumpulan objek (konkrit atau abstrak) ) yang mempunyai syarat tertentu dan jelas, bisanya dinyatakan dengan huruf besar. a A a A a anggota dari A a bukan
More informationVISUAL ALGEBRA FOR COLLEGE STUDENTS. Laurie J. Burton Western Oregon University
VISUAL ALGEBRA FOR COLLEGE STUDENTS Laurie J. Burton Western Oregon University VISUAL ALGEBRA FOR COLLEGE STUDENTS TABLE OF CONTENTS Welcome and Introduction 1 Chapter 1: INTEGERS AND INTEGER OPERATIONS
More informationThe University of the State of New York REGENTS HIGH SCHOOL EXAMINATION MATHEMATICS A. Tuesday, August 13, 2002 8:30 to 11:30 a.m.
The University of the State of New York REGENTS HIGH SCHOOL EXAMINATION MATHEMATICS A Tuesday, August 13, 2002 8:30 to 11:30 a.m., only Print Your Name: Print Your School s Name: Print your name and the
More information