Inductive and Inductive Reasoning (1.1)

Similar documents
Lecture Note 1 Set and Probability Theory. MIT Spring 2006 Herman Bennett

Math/Stats 425 Introduction to Probability. 1. Uncertainty and the axioms of probability

6.3 Conditional Probability and Independence

Probability: Terminology and Examples Class 2, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

Lecture 1 Introduction Properties of Probability Methods of Enumeration Asrat Temesgen Stockholm University

Algebra 1: Basic Skills Packet Page 1 Name: Integers ( 30) ( 4)

Basic Probability Concepts

How To Understand And Solve A Linear Programming Problem

Mathematical goals. Starting points. Materials required. Time needed

E3: PROBABILITY AND STATISTICS lecture notes

STAT 319 Probability and Statistics For Engineers PROBABILITY. Engineering College, Hail University, Saudi Arabia

Automata and Formal Languages

Math Week in Review #4. A proposition, or statement, is a declarative sentence that can be classified as either true or false, but not both.

Combinatorial Proofs

Mathematics for Computer Science/Software Engineering. Notes for the course MSM1F3 Dr. R. A. Wilson

Discrete Mathematics

THE LANGUAGE OF SETS AND SET NOTATION

A Little Set Theory (Never Hurt Anybody)

I. GROUPS: BASIC DEFINITIONS AND EXAMPLES

No Solution Equations Let s look at the following equation: 2 +3=2 +7

Applied Liberal Arts Mathematics MAT-105-TE

Course Syllabus. MATH 1350-Mathematics for Teachers I. Revision Date: 8/15/2016

1.2. Successive Differences

The study of probability has increased in popularity over the years because of its wide range of practical applications.

A Few Basics of Probability

WRITING PROOFS. Christopher Heil Georgia Institute of Technology

For a partition B 1,..., B n, where B i B j = for i. A = (A B 1 ) (A B 2 ),..., (A B n ) and thus. P (A) = P (A B i ) = P (A B i )P (B i )

Chapter 3. Cartesian Products and Relations. 3.1 Cartesian Products

Elements of probability theory

VISUAL ALGEBRA FOR COLLEGE STUDENTS. Laurie J. Burton Western Oregon University

ACMS Section 02 Elements of Statistics October 28, 2010 Midterm Examination II Answers

Alabama Department of Postsecondary Education

Probabilistic Strategies: Solutions

Complement. If A is an event, then the complement of A, written A c, means all the possible outcomes that are not in A.

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

MAS108 Probability I

MATHEMATICS 154, SPRING 2010 PROBABILITY THEORY Outline #3 (Combinatorics, bridge, poker)

Solutions for Practice problems on proofs

Check Skills You ll Need. New Vocabulary union intersection disjoint sets. Union of Sets

COURSE SYLLABUS

Formal Languages and Automata Theory - Regular Expressions and Finite Automata -

Question of the Day. Key Concepts. Vocabulary. Mathematical Ideas. QuestionofDay

ACMS Section 02 Elements of Statistics October 28, Midterm Examination II

Lesson 1. Basics of Probability. Principles of Mathematics 12: Explained! 314

Math Compute C(1000,2) (a) (b) (c) 2. (d) (e) None of the above.

IAM 530 ELEMENTS OF PROBABILITY AND STATISTICS INTRODUCTION

AP Stats - Probability Review

Schneps, Leila; Colmez, Coralie. Math on Trial : How Numbers Get Used and Abused in the Courtroom. New York, NY, USA: Basic Books, p i.

6.042/18.062J Mathematics for Computer Science. Expected Value I

Introduction to Probability

Section 6-5 Sample Spaces and Probability

That s Not Fair! ASSESSMENT #HSMA20. Benchmark Grades: 9-12

Basic Probability. Probability: The part of Mathematics devoted to quantify uncertainty

Lecture 1. Basic Concepts of Set Theory, Functions and Relations

6.2 Permutations continued

Chapter 11 Number Theory

Set operations and Venn Diagrams. COPYRIGHT 2006 by LAVON B. PAGE

Statistics 100A Homework 2 Solutions

Pigeonhole Principle Solutions

Review for Test 2. Chapters 4, 5 and 6

A Correlation of Pearson Texas Geometry Digital, 2015

MATH 140 Lab 4: Probability and the Standard Normal Distribution

Mathematical Induction. Lecture 10-11

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 5 9/17/2008 RANDOM VARIABLES

Section 6.2 Definition of Probability

Vocabulary. Term Page Definition Clarifying Example. biconditional statement. conclusion. conditional statement. conjecture.

So let us begin our quest to find the holy grail of real analysis.

Introduction. Appendix D Mathematical Induction D1

Creating, Solving, and Graphing Systems of Linear Equations and Linear Inequalities

Set Theory Basic Concepts and Definitions

ALGEBRA. sequence, term, nth term, consecutive, rule, relationship, generate, predict, continue increase, decrease finite, infinite

Reading 13 : Finite State Automata and Regular Expressions

Probability Distribution for Discrete Random Variables

LEARNING OBJECTIVES FOR THIS CHAPTER

EXAMPLES OF ASSIGNING DEPTH-OF-KNOWLEDGE LEVELS ALIGNMENT ANALYSIS CCSSO TILSA ALIGNMENT STUDY May 21-24, 2001 version 2.0

Notes on Richard Dedekind s Was sind und was sollen die Zahlen?

Access The Mathematics of Internet Search Engines

SECTION 10-5 Multiplication Principle, Permutations, and Combinations

Basic Concepts of Point Set Topology Notes for OU course Math 4853 Spring 2011

ST 371 (IV): Discrete Random Variables

CS 3719 (Theory of Computation and Algorithms) Lecture 4

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

FEGYVERNEKI SÁNDOR, PROBABILITY THEORY AND MATHEmATICAL

Probabilities. Probability of a event. From Random Variables to Events. From Random Variables to Events. Probability Theory I

CHAPTER 3. Methods of Proofs. 1. Logical Arguments and Formal Proofs

3. Mathematical Induction

Probability: The Study of Randomness Randomness and Probability Models. IPS Chapters 4 Sections

Extra Credit Assignment Lesson plan. The following assignment is optional and can be completed to receive up to 5 points on a previously taken exam.

Linear Algebra. A vector space (over R) is an ordered quadruple. such that V is a set; 0 V ; and the following eight axioms hold:

Chapter 13 & 14 - Probability PART

14.30 Introduction to Statistical Methods in Economics Spring 2009

Answer Key for California State Standards: Algebra I

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 10

Law of Large Numbers. Alexandra Barbato and Craig O Connell. Honors 391A Mathematical Gems Jenia Tevelev

8 Primes and Modular Arithmetic

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 2

Probability and Venn diagrams UNCORRECTED PAGE PROOFS

Finite Automata. Reading: Chapter 2

Directions: Place greater than (>), less than (<) or equal to (=) symbols to complete the number sentences on the left.

Probability and Statistics Vocabulary List (Definitions for Middle School Teachers)

Transcription:

1 Inductive and Inductive Reasoning (1.1) I. Inductive Reasoning The process of arriving at a general conclusion (hypothesis/conjecture) based on observations of specific values. There is no guarantee that the conclusions are true. Examples: a) Identify the pattern. Use this pattern to find the next number. 1, 1, 2, 3, 5, 8, 13, 21, Fibonacci Sequence 3, 6, 18, 36, 108, 216, b) Use inductive reasoning to predict the next line. 2 1 4 2 2 7 1 9 2 2 7 12 1 14 2 2 7 12 17 1 19 2 1

2 c) Describe the two patterns in the sequence. Use the patterns to describe the next figure. d) The triangular arrangement of numbers shown below is known as Pascal s Triangle, credited to French mathematician Blaise Pascal. Use inductive reasoning to find the six numbers designated by question marks. (Blitzer, p 11 # 62). 1 1 1 1 2 1 1 3 3 1 1 4 6 4 1?????? 2

3 Deductive Reasoning The process of proving a specific conclusion (theorem) from one or more general statements. Conclusions based on deductive reasoning are true. Steps for the examples below: 1. Select a few numbers and follow the steps. 2. Write a conjecture based on your examples. 3. Name a variable. 4. Use deductive reasoning to prove the conjecture true. Examples: a) Select a number. Add three. Multiply the sum by two. Subtract six from the product. Divide the result by two. Original number selected Result of the process b) Identify the reasoning process as induction or deduction. The course policy states that work turned in late will be marked down a grade. I turned in my report a day late, so it was marked down from B to C. 3

4 Basic Set Concepts (2.1) I. Set A collection of objects whose contents can be clearly determined. Capitol letters usually name a set. Elements are the contents in a set. Sets can be described using words, the roster method, or set-builder notation. Examples: a) Word description: A represents the set of 52 playing cards. b) Roster Method: 1. List all elements in the set inside a pair of { }. 2. Separate each element with a comma Rolling a die. B = {1, 2, 3, 4, 5,6 } Rolling a pair of dice. C = { (1,1) (1,2) (1,3) (1,4) (1,5) (1,6) (2,1) (2,2) (2,3) (2,4) (2,5) (2,6) (3,1) (3,2) (3,3) (3,4) (3,5) (3,6) (4,1) (4,2) (4,3) (4,4) (4,5) (4,6) (5,1) (5,2) (5,3) (5,4) (5,5) (5,6) (6,1) (6,2) (6,3) (6,4) (6,5) (6,6)} Tossing a coin. D = {Heads, Tails} c) Set-Builder Notation: General format is { x x.}. E = {x x is the number of days in a month.} Set E is the set of all elements x such that x is the number of days in a month. F = { x x is a number less than 4 or greater than 10} G = { x x is a number less than 4 and greater than 10} 4

5 II. Empty Set/Null Set A set containing no elements because the events are impossible. Notation: {} or III. - indicates that an object is an element of a set. Read: is an element of Example: 3 { x x is a number less than 4 or greater than 10} IV. - indicates that an object is not an element of a set. Read: is not an element of Example: 4 { x x is a number less than 4 or greater than 10} V. Set of Natural Numbers N = {1, 2, 3, 4, } Examples: Express each of the following sets using the roster method. a) G is the set of natural numbers less than 5. b) H = {x x N and x is a multiple of 2x+1} Examples: Express each of the following sets using set-builder notation. c) I represents the set of natural numbers greater than or equal to 70 and less than or equal to 100. d) J represents the set of natural numbers greater than 70 and less than 100. VI. Review of Inequality Symbols. x < a {x x N and x < a} x a {x x N and x a} x > a {x x N and x > a} x a {x x N and x a} 5

6 VII. Cardinal Number of set A the number of distinct elements in set A. Notation: n(a) Example: Find the cardinal number for the sets below. a) J = {1, 2, 3, 4} b) K = {1, 2, 3, 4, 1} c) L = {0} d) M = {} Finite Set A set whose cardinality is 0 or a natural number. Infinite Set A set whose cardinality is not 0 or a natural number. VIII. Set A is the equivalent of set B set A and set B contain the same number of distinct elements. The definition is equivalent to saying n(a) = n(b). Example: Are the sets below equivalent? N = {Florida, Alabama, Georgia} O = {0.2, 4, 1.2} 5 Example: Are the sets below equivalent? P = {steak, chicken, pork, ribs} Q = {1, 2, 3, 1, 4} IX. Set A is equal to set B set A and Set B have exactly the same elements. Notation: A = B The order of the elements or repetition in elements does not matter. Example: Identify as True or False. { B, E, L, L, L, L, A} = {A, L, E, B} 6

7 SUBSETS (2.2) fill in exs I. Set A is a subset of set B every element in set A is also an element in set B. Notation: A B The null set is a subset of any set B. {} B. Sets A and B are equal if A B and B A Example: { 1, 2, 3} {1, 2, 3, 3} and { 1, 2, 3, 3} {1, 2, 3}, so { 1, 2, 3} { 1, 2, 3, 3} II. Set A is not a subset of set B There is at least one element of set A that is not an element of set B. Notation: A B *** The computer doesn t have the correct symbol here. Draw in a!! III. Set A is a proper subset of set B- Set A is a subset of set B and sets A and B are not equal. Notation: A B The null set is a proper subset of any set B, provided that B is not the null set. {} B. Example: { 1, 2, 3} {0, 1, 2, 3, 4, 5} Examples on element vs. set notation: Label each statement as true or false. a) 7 {x x N and x < 9 } b) {7} {x x N and x < 9 } c) 7 {x x N and x < 9 } d) {7} {x x N and x < 9 } 7

8 IV. Number of Subsets The number of subsets of a set with n elements is n 2. The number of proper subsets of a set with n elements is n 2-1. There are an infinite number of subsets for an infinite set. Examples: Calculate the number of subsets and the number of proper subsets of each set. Don t forget that the null set is a subset of any set! a) {x x is the month of the year} b) {x x N and x < 3} 8

9 Venn Diagrams and Set Operations with Two Sets (2.3) I. Universal Set set containing all the elements being considered in a problem. Notation: U. The set of all possible outcomes. The set of all sample points. Example: The set of all Delta domestic flights in 2009. The set of all H.C.C. left handed students. Venn Diagram II. Disjoint set Two sets with no elements in common. Venn Diagram Example {The next sale by a PC retailer is a laptop computer}, {The next sale by a PC retailer is a desktop computer} {42 right handed students} and {36 left handed students} III. Proper subset Venn Diagram Example: A = { x x N} B = {x x N and x is even} 9

10 IV. Equal sets Venn Diagram Example: A = {0, 2, 4, 6} B = {x x = 2n and 0 n 3} V. Compliment of set A set of all elements in the universal set that are not in A. Notation: A A = {x x U and x A}. Look for the word not Venn Diagram Example: Consider rolling a dice once. Define the compliment of each event. Find the compliment of each set. a) W= {A score less than four} = {1, 2, 3} W = b) Z = {A score that is even} = {2, 4, 6} Z = 10

11 VI. Intersection of sets A and B the set of elements common to both set A and set B. Notation: A B A B = {x x A and x B} Look for the word and. Look for the word but A {} = {} Venn Diagram Example: Let event A={2, 8, 14, 18} and event B={4, 6, 8, 10, 12}. What is the intersection of A and B? VII. Union of sets A and B the set of all events that are in A or B or both. Notation: A B A B = {x x A or x B} Look for the word or. A {} = A Venn Diagram Example: Let event A={2, 8, 14, 18} and event B={4, 6, 8, 10, 12}. What is the union of A and B? 11

12 Example A six-sided, fair die is rolled. Let event A = {2, 4, 6}, the die is even. Let event B = {3, 6}, the die is a multiple of three. a) What is A B? b) What is (A B)? c) What is (A ) B? 12

13 d) What is A A? e) What is A B C? 13

14 VIII. Cardinal Number of the Union of Two Finite Sets. n(a B) = n(a) + n(b) n(a B) Example: Set A contains 3 letters and 5 numbers, set B contains 7 letters and 2 numbers, and 1 letter and 2 numbers are common to both sets. How many elements are in set A or set B? 14

15 Venn Diagrams and Set Operations with Three Sets (2.4) Whole Numbers: {0, 1, 2, 3, } Example: Let U = {x x W and x 15} and A = {x x W and x 7}, B = {x x is odd and x 15}, and C = {x x is even and x 12}. Find the following: Steps: 1. Find the four intersections 2. Place elements into regions, starting with the innermost region and then work outwards a) ((C A) (B A)) b) (A B) C c) B (A C) 15

16 Venn Diagrams with Three Sets Ex. Use the Venn diagram to find which regions are represented by a) (A B) b) A B c) A B d) (A B) e) (A B) C 16

17 DeMorgan s Laws 1. (A B) = A B 2. (A B) = A B Deductive proof of (A B) = A B Set A Regions in the Venn Diagram B A B (A B) Set A Regions in the Venn Diagram B A B 17

18 Deductive proof of (A B) = A B Set A Regions in the Venn Diagram B A B (A B) Set A Regions in the Venn Diagram B A B Steps to Prove the Equality of Sets: 1. Create a Venn Diagram. 2. Identify the region defined by the left hand side of the equality in the Venn diagram. 3. Identify the region defined by the right hand side of the equality in the Venn diagram. 4. If both sets are identified by the same region, then the sets are equal. 18

19 Survey Problems (2.5) Steps to solve Survey Problems: 1. Use the problem description to define sets. 2. Draw a Venn diagram. 3. Label the cardinality of the innermost region of the Venn Diagram, which represents the intersection of the sets. 4. Working outwards, label the cardinality of the remaining regions. Example: A survey of 100 college students was taken to determine preferences in cheeseburger condiments. Forty-three use mayonnaise, 52 use mustard, and 35 use ketchup. Thirteen use mayonnaise and mustard, 12 use mayonnaise and ketchup, 14 use ketchup and mustard, and 5 use all three. a) How many students do not use any condiment? b) How many students use ketchup only? c) How many students use mayonnaise only? d) How many students use at least two of the condiments? e) How many students use exactly one condiment? f) How many students use at most two of the condiments? 19

20 Example A survey of 80 college students was taken to determine the musical styles they listened to. Forty-two students listened to rock, 34 to classical, and 27 to jazz. Twelve students listened to rock and jazz, 14 to rock and classical, and 10 to classical and jazz. Seven students listened to all three musical styles. Of those surveyed: a) How many listened to classical and jazz, but not rock? b) How many listened to music in exactly one of the musical styles? c) How many listened to music in at least two of the musical styles? d) How many did not listen to any of the musical styles? 20