1. The empty set is a proper subset of every set. Not true because the empty set is not a proper subset of itself! is the power set of A.

Size: px
Start display at page:

Download "1. The empty set is a proper subset of every set. Not true because the empty set is not a proper subset of itself! is the power set of A."

Transcription

1 MAT 101 Solutions to Sample Questions for Exam 1 True or False Questions Answers: 1F, 2F, 3F, 4T, 5T, 6T, 7T 1. The empty set is a proper subset of every set. Not true because the empty set is not a proper subset of itself! 2. If 1,2,3. ( P A is the power set of A.) A, then 2 PA Not true because the elements of the power set of A are sets themselves (subsets of A) and 2 is just a number. 3. For any two finite sets A and B, if A B, then A B. Not true when A = B. 4. For any two sets A and B, the intersection of A and B is always a subset of A. True. Check this with Venn diagrams (don t forget to include the three special cases when A = B, A is a subset of B, and A and B are disjoint) 5. A set with 4 elements has exactly 10 proper subsets with cardinality greater than 1. True. Out of the 15 proper subsets of the set, 5 have to be discarded because their cardinality is 1 or less: the empty set and all 4 sets which have only one element. That leaves out exactly 10 proper subsets with cardinality greater than The set of large naturals written with 100 digits or more in decimal base (with a nonzero leading digit) is well-defined. True, it is clear which naturals belong to this set. 7. For any two finite sets A and B, A B A only if B is a subset of A. True. Again, check this with Venn diagrams considering all cases.

2 Multiple-Choice Questions Answers: 1B, 2D {1, 2, 3, 4, } is the set of naturals, or counting numbers. Consider the universal set U and the sets A and B defined below. U { x x and 2 x 18} = {2, 3, 4,, 17, 18} A = {2x x = 2, 3,, 7} = {4, 6, 8, 10, 12, 14} B = {3, 4, 5, 6, 7, 9, 12, 14, 15} 1. Which of the following is the set A B? a) {3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 15} b) {4, 6, 12, 14} c) {4, 6, 8, 10, 12, 14} d) {3, 4, 5, 6, 7} 2. Which of the following is the set A B /? a) {3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 15} b) {2, 11, 13} c) {2, 3, 5, 7, 8, 9, 10, 11, 13, 15, 16, 17, 18} d) {2, 11, 13, 16, 17, 18} Sample Problem 1 Let U a, b, c, d, e, f, g, h be the universal set and A, B, C be subsets of U defined as follows: a, b, c d, B b, e, a, d, C a, e A, Find the following:. a) A / C Answer: {a, e, f, g, h} / b) A B C Answer: {b, d} c) A C B / Answer: {c, f, g, h} / d) All proper subsets of A Answer: The 16 subsets are { }, {e}, {f}, {g}, {h}, {e, f}, {e, g}, {e, h}, {f, g}, {f, h}, {g, h}, {e, f, g}, {e, f, h}, {e, g, h}, {f, g, h}, A.

3 Sample Problem 2 Use the Venn diagram below to shade the region corresponding to the set X Y X Z Y Z. For your convenience the 8 regions in the diagram have been numbered arbitrarily. Answer Looking at the numbered regions in the Venn Diagram above, we have: Therefore, X Y = {2, 3, 4, 5} {3, 4, 7, 8} = {2, 5} X Z = {2, 3, 4, 5} {4, 5, 6, 7} = {2, 3} Y Z = {3, 4, 7, 8} {4, 5, 6, 7} = {3, 8} X Y X Z Y Z = {2, 3, 5, 8} Regions 2, 3, 5, 8 should be shaded in the Venn diagram above.

4 Sample Problem 3 a) Write a set expression for the region shaded in the Venn diagram above using any set operations. Here are two possible answers: A B B A A B A B b) Write an equivalent expression for the same region using all four set operations. [Bonus] / / Here is one possible answer: A B A B Sample Problem 4 Show the set identity / A ( A B) A B using Venn diagrams. Here you must show that the two shaded Venn diagrams associated with each side of this set expression are identical. Use a numbering of the 4 regions for the lefthand side, and then check that you have shaded the union of A and B. Sample Problem 5 Show that, in general, A ( B C) ( A B) C using Venn diagrams. Here you must show that the two shaded Venn diagrams associated with each side of this set expression are not the same. Use a numbering of the 8 regions to get these shadings.

5 Sample Problem 6 Let U, the universal set, consist of all the positive rational numbers (or fractions). p Let A be the set defined by A p, q are odd naturals and q 0 }. Find a set B that satisfied q the following 3 conditions: 1) B is a subset of the complement of A. 2) B has exactly 255 proper subsets. 3) No element of B is greater than 1. Here are two possible answers (out of infinitely many): B = {1/2, 1/4, 1/6, 1/8, 1/10, 1/12, 1/14, 1/16} or B = {1/2, 2/3, 3/4, 4/5, 5/6, 6/7, 7/8, 8/9} Sample Survey Problem 1 Exercise # 10 p. 79 [Electronic Devices] DONE IN CLASS a) 496 b) 132 c) 29 d) 328 e) 470 Sample Survey Problem 2 Exercise # 12 p. 80 [Appetizers Survey] Let S be the set of surveyed customers who liked the shrimp cocktail. Then the cardinality of S is given by S 78.

6 Let M be the set of surveyed customers who liked the mozzarella sticks. Then the cardinality of M is given by M 56. Since 35 of the customers in the survey liked both types of appetizers, we have S M 35. Using the Exclusion-Inclusion Principle, we then have: S M S M S M Since 100 people were surveyed, this result implies that one customer in the survey did not like either of the two appetizers - a contradiction to the statement that everyone liked at least one of the appetizers.

Sets. Definition A set is an unordered collection of objects called elements or members of the set.

Sets. Definition A set is an unordered collection of objects called elements or members of the set. Sets Definition A set is an unordered collection of objects called elements or members of the set. Sets Definition A set is an unordered collection of objects called elements or members of the set. Examples:

More information

Class 8 - Sets (Lecture Notes)

Class 8 - Sets (Lecture Notes) Class 8 - Sets (Lecture Notes) What is a Set? A set is a well-defined collection of distinct objects. Example: A = {1, 2, 3, 4, 5} What is an element of a Set? The objects in a set are called its elements.

More information

Sample Spaces, Events, Probability

Sample Spaces, Events, Probability Sample Spaces, Events, Probability CS 3130/ECE 3530: Probability and Statistics for Engineers August 28, 2014 Sets A set is a collection of unique objects. Sets A set is a collection of unique objects.

More information

Chapter 1. Set Theory

Chapter 1. Set Theory Chapter 1 Set Theory 1 Section 1.1: Types of Sets and Set Notation Set: A collection or group of distinguishable objects. Ex. set of books, the letters of the alphabet, the set of whole numbers. You can

More information

4. Let U = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}, X = {2, 3, 4}, Y = {1, 4, 5}, Z = {2, 5, 7}. Find a) (X Y) b) X Y c) X (Y Z) d) (X Y) Z

4. Let U = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}, X = {2, 3, 4}, Y = {1, 4, 5}, Z = {2, 5, 7}. Find a) (X Y) b) X Y c) X (Y Z) d) (X Y) Z Exercises 1. Write formal descriptions of the following sets. a) The set containing the numbers 1, 10, and 100 b) The set containing all integers that are greater than 5 c) The set containing all natural

More information

Grade 7/8 Math Circles February 21 st /22 nd, Sets

Grade 7/8 Math Circles February 21 st /22 nd, Sets Faculty of Mathematics Waterloo, Ontario N2L 3G1 Sets Grade 7/8 Math Circles February 21 st /22 nd, 2017 Sets Centre for Education in Mathematics and Computing A set is a collection of unique objects i.e.

More information

( ) = A. 2. Write the following sets using the roster method. 3. Write the following sets using set-builder notation.

( ) = A. 2. Write the following sets using the roster method. 3. Write the following sets using set-builder notation. 2.6. EXERISES 1. True or False? a. The empty set has no subsets. b. No set has exactly 14 distinct subsets. c. For any two finite sets and,

More information

Chapter 1 Math Set: a collection of objects. For example, the set of whole numbers is W = {0, 1, 2, 3, }

Chapter 1 Math Set: a collection of objects. For example, the set of whole numbers is W = {0, 1, 2, 3, } Chapter 1 Math 3201 1 Chapter 1: Set Theory: Organizing information into sets and subsets Graphically illustrating the relationships between sets and subsets using Venn diagrams Solving problems by using

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

Define and Diagram Outcomes (Subsets) of the Sample Space (Universal Set)

Define and Diagram Outcomes (Subsets) of the Sample Space (Universal Set) 12.3 and 12.4 Notes Geometry 1 Diagramming the Sample Space using Venn Diagrams A sample space represents all things that could occur for a given event. In set theory language this would be known as the

More information

4.3 Finding Probability Using Sets

4.3 Finding Probability Using Sets 4.3 Finding Probability Using ets When rolling a die with sides numbered from 1 to 20, if event A is the event that a number divisible by 5 is rolled: a) What is the sample space,? b) What is the event

More information

CS1802 Week 6: Sets Operations, Product Sum Rule Pigeon Hole Principle (Ch )

CS1802 Week 6: Sets Operations, Product Sum Rule Pigeon Hole Principle (Ch ) CS1802 Discrete Structures Recitation Fall 2017 October 9-12, 2017 CS1802 Week 6: Sets Operations, Product Sum Rule Pigeon Hole Principle (Ch 8.5-9.3) Sets i. Set Notation: Draw an arrow from the box on

More information

8.2 Union, Intersection, and Complement of Events; Odds

8.2 Union, Intersection, and Complement of Events; Odds 8.2 Union, Intersection, and Complement of Events; Odds Since we defined an event as a subset of a sample space it is natural to consider set operations like union, intersection or complement in the context

More information

Slide 1 Math 1520, Lecture 13

Slide 1 Math 1520, Lecture 13 Slide 1 Math 1520, Lecture 13 In chapter 7, we discuss background leading up to probability. Probability is one of the most commonly used pieces of mathematics in the world. Understanding the basic concepts

More information

Sets. Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 6, Outline Sets Equality Subset Empty Set Cardinality Power Set

Sets. Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 6, Outline Sets Equality Subset Empty Set Cardinality Power Set Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 6, 2012 Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) Gazihan Alankuş (Based on original slides by Brahim Hnich

More information

SET THEORY AND VENN DIAGRAMS

SET THEORY AND VENN DIAGRAMS Mathematics Revision Guides Set Theory and Venn Diagrams Page 1 of 26 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Higher Tier SET THEORY AND VENN DIAGRAMS Version: 2.1 Date: 15-10-2015 Mathematics

More information

Math Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5.

Math Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5. Math 166 Spring 2007 c Heather Ramsey Page 1 Math 166 - Exam 2 Review NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5. Section 7.1 - Experiments, Sample Spaces,

More information

Math Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5.

Math Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5. Math 166 Spring 2007 c Heather Ramsey Page 1 Math 166 - Exam 2 Review NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5. Section 7.1 - Experiments, Sample Spaces,

More information

SETS OBJECTIVES EXPECTED BACKGROUND KNOWLEDGE 1.1 SOME STANDARD NOTATIONS. Sets. MODULE - I Sets, Relations and Functions

SETS OBJECTIVES EXPECTED BACKGROUND KNOWLEDGE 1.1 SOME STANDARD NOTATIONS. Sets. MODULE - I Sets, Relations and Functions 1 SETS Let us consider the following situation : One day Mrs. and Mr. Mehta went to the market. Mr. Mehta purchased the following objects/items. "a toy, one kg sweets and a magazine". Where as Mrs. Mehta

More information

Finite and Infinite Sets

Finite and Infinite Sets Finite and Infinite Sets MATH 464/506, Real Analysis J. Robert Buchanan Department of Mathematics Summer 2007 Basic Definitions Definition The empty set has 0 elements. If n N, a set S is said to have

More information

Probability Models. Section 6.2

Probability Models. Section 6.2 Probability Models Section 6.2 The Language of Probability What is random? Empirical means that it is based on observation rather than theorizing. Probability describes what happens in MANY trials. Example

More information

CS1802 Week 6: Sets Operations, Product Sum Rule Pigeon Hole Principle (Ch )

CS1802 Week 6: Sets Operations, Product Sum Rule Pigeon Hole Principle (Ch ) CS1802 Discrete Structures Recitation Fall 2017 October 9-12, 2017 CS1802 Week 6: Sets Operations, Product Sum Rule Pigeon Hole Principle (Ch 8.5-9.3) Sets i. Set Notation: Draw an arrow from the box on

More information

Section Introduction to Sets

Section Introduction to Sets Section 1.1 - Introduction to Sets Definition: A set is a well-defined collection of objects usually denoted by uppercase letters. Definition: The elements, or members, of a set are denoted by lowercase

More information

ACHS Math Team Lecture: Introduction to Set Theory Peter S. Simon

ACHS Math Team Lecture: Introduction to Set Theory Peter S. Simon ACHS Math Team Lecture: Introduction to Set Theory Peter S. Simon Introduction to Set Theory A set is a collection of objects, called elements or members of the set. We will usually denote a set by a capital

More information

29. Army Housing (a) (b) (c) (d) (e) (f ) Totals Totals (a) (b) (c) (d) (e) (f) Basketball Positions 32. Guard Forward Center

29. Army Housing (a) (b) (c) (d) (e) (f ) Totals Totals (a) (b) (c) (d) (e) (f) Basketball Positions 32. Guard Forward Center Infinite Sets and Their Cardinalities As mentioned at the beginning of this chapter, most of the early work in set theory was done by Georg Cantor He devoted much of his life to a study of the cardinal

More information

Name Date. Goal: Understand sets and set notation.

Name Date. Goal: Understand sets and set notation. F Math 12 3.1 Types of Sets and Set Notation p. 146 Name Date Goal: Understand sets and set notation. 1. set: A collection of distinguishable objects; for example, the set of whole numbers is W = {0, 1,

More information

Probability (Devore Chapter Two)

Probability (Devore Chapter Two) Probability (Devore Chapter Two) 1016-351-01 Probability Winter 2011-2012 Contents 1 Axiomatic Probability 2 1.1 Outcomes and Events............................... 2 1.2 Rules of Probability................................

More information

Probability I Sample spaces, outcomes, and events.

Probability I Sample spaces, outcomes, and events. Probability I Sample spaces, outcomes, and events. When we perform an experiment, the result is called the outcome. The set of possible outcomes is the sample space and any subset of the sample space is

More information

Probability. Ms. Weinstein Probability & Statistics

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

More information

DVA325 Formal Languages, Automata and Models of Computation (FABER)

DVA325 Formal Languages, Automata and Models of Computation (FABER) DVA325 Formal Languages, Automata and Models of Computation (FABER) Lecture 1 - Introduction School of Innovation, Design and Engineering Mälardalen University 11 November 2014 Abu Naser Masud FABER November

More information

An art collector might own a collection of paintings, while a music lover might keep a collection of CDs. Any collection of items can form a set.

An art collector might own a collection of paintings, while a music lover might keep a collection of CDs. Any collection of items can form a set. Sets 319 Sets It is natural for us to classify items into groups, or sets, and consider how those sets overlap with each other. We can use these sets understand relationships between groups, and to analyze

More information

CSE 20 DISCRETE MATH. Fall

CSE 20 DISCRETE MATH. Fall CSE 20 DISCRETE MATH Fall 2017 http://cseweb.ucsd.edu/classes/fa17/cse20-ab/ Today's learning goals Define and compute the cardinality of a set. Use functions to compare the sizes of sets. Classify sets

More information

Chapter 1: Sets and Probability

Chapter 1: Sets and Probability Chapter 1: Sets and Probability Section 1.3-1.5 Recap: Sample Spaces and Events An is an activity that has observable results. An is the result of an experiment. Example 1 Examples of experiments: Flipping

More information

Probability: Terminology and Examples Spring January 1, / 22

Probability: Terminology and Examples Spring January 1, / 22 Probability: Terminology and Examples 18.05 Spring 2014 January 1, 2017 1 / 22 Board Question Deck of 52 cards 13 ranks: 2, 3,..., 9, 10, J, Q, K, A 4 suits:,,,, Poker hands Consists of 5 cards A one-pair

More information

CHAPTER 7 Probability

CHAPTER 7 Probability CHAPTER 7 Probability 7.1. Sets A set is a well-defined collection of distinct objects. Welldefined means that we can determine whether an object is an element of a set or not. Distinct means that we can

More information

The probability set-up

The probability set-up CHAPTER 2 The probability set-up 2.1. Introduction and basic theory We will have a sample space, denoted S (sometimes Ω) that consists of all possible outcomes. For example, if we roll two dice, the sample

More information

Cardinality and Bijections

Cardinality and Bijections Countable and Cardinality and Bijections Gazihan Alankuş (Based on original slides by Brahim Hnich et al.) August 13, 2012 Countable and Countable and Countable and How to count elements in a set? How

More information

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

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

More information

7.1 Experiments, Sample Spaces, and Events

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

More information

Algebra II Probability and Statistics

Algebra II Probability and Statistics Slide 1 / 241 Slide 2 / 241 Algebra II Probability and Statistics 2016-01-15 www.njctl.org Slide 3 / 241 Table of Contents click on the topic to go to that section Sets Independence and Conditional Probability

More information

Cardinality. Hebrew alphabet). We write S = ℵ 0 and say that S has cardinality aleph null.

Cardinality. Hebrew alphabet). We write S = ℵ 0 and say that S has cardinality aleph null. Section 2.5 1 Cardinality Definition: The cardinality of a set A is equal to the cardinality of a set B, denoted A = B, if and only if there is a one-to-one correspondence (i.e., a bijection) from A to

More information

MA Section 6.3 and 7.3

MA Section 6.3 and 7.3 MA 162 - Section 6.3 and 7.3 Completed Section 6.3 1. Four commuter trains and three express buses depart from City A to City B in the morning, and three commuter trains and three express buses operate

More information

Algebra II. Sets. Slide 1 / 241 Slide 2 / 241. Slide 4 / 241. Slide 3 / 241. Slide 6 / 241. Slide 5 / 241. Probability and Statistics

Algebra II. Sets. Slide 1 / 241 Slide 2 / 241. Slide 4 / 241. Slide 3 / 241. Slide 6 / 241. Slide 5 / 241. Probability and Statistics Slide 1 / 241 Slide 2 / 241 Algebra II Probability and Statistics 2016-01-15 www.njctl.org Slide 3 / 241 Slide 4 / 241 Table of Contents click on the topic to go to that section Sets Independence and Conditional

More information

Mutually Exclusive Events

Mutually Exclusive Events 5.4 Mutually Exclusive Events YOU WILL NEED calculator EXPLORE Carlos drew a single card from a standard deck of 52 playing cards. What is the probability that the card he drew is either an 8 or a black

More information

PROBABILITY FOR RISK MANAGEMENT. Second Edition

PROBABILITY FOR RISK MANAGEMENT. Second Edition Solutions Manual for PROBABILITY FOR RISK MANAGEMENT Second Edition by Donald G. Stewart, Ph.D. and Matthew J. Hassett, ASA, Ph.D. ACTEX Publications Winsted, Connecticut Copyright 2006, by ACTEX Publications,

More information

The probability set-up

The probability set-up CHAPTER The probability set-up.1. Introduction and basic theory We will have a sample space, denoted S sometimes Ω that consists of all possible outcomes. For example, if we roll two dice, the sample space

More information

Week 3-4: Permutations and Combinations

Week 3-4: Permutations and Combinations Week 3-4: Permutations and Combinations February 20, 2017 1 Two Counting Principles Addition Principle. Let S 1, S 2,..., S m be disjoint subsets of a finite set S. If S = S 1 S 2 S m, then S = S 1 + S

More information

In how many ways can we paint 6 rooms, choosing from 15 available colors? What if we want all rooms painted with different colors?

In how many ways can we paint 6 rooms, choosing from 15 available colors? What if we want all rooms painted with different colors? What can we count? In how many ways can we paint 6 rooms, choosing from 15 available colors? What if we want all rooms painted with different colors? In how many different ways 10 books can be arranged

More information

It is important that you show your work. The total value of this test is 220 points.

It is important that you show your work. The total value of this test is 220 points. June 27, 2001 Your name It is important that you show your work. The total value of this test is 220 points. 1. (10 points) Use the Euclidean algorithm to solve the decanting problem for decanters of sizes

More information

2. Let E and F be two events of the same sample space. If P (E) =.55, P (F ) =.70, and

2. Let E and F be two events of the same sample space. If P (E) =.55, P (F ) =.70, and c Dr. Patrice Poage, August 23, 2017 1 1324 Exam 1 Review NOTE: This review in and of itself does NOT prepare you for the test. You should be doing this review in addition to all your suggested homework,

More information

1 = 3 2 = 3 ( ) = = = 33( ) 98 = = =

1 = 3 2 = 3 ( ) = = = 33( ) 98 = = = Math 115 Discrete Math Final Exam December 13, 2000 Your name It is important that you show your work. 1. Use the Euclidean algorithm to solve the decanting problem for decanters of sizes 199 and 98. In

More information

Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules

Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules + Chapter 5: Probability: What are the Chances? Section 5.2 + Two-Way Tables and Probability When finding probabilities involving two events, a two-way table can display the sample space in a way that

More information

Cardinality of Accumulation Points of Infinite Sets

Cardinality of Accumulation Points of Infinite Sets International Mathematical Forum, Vol. 11, 2016, no. 11, 539-546 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/imf.2016.6224 Cardinality of Accumulation Points of Infinite Sets A. Kalapodi CTI

More information

Thinking Rationally. Identifying and Ordering Rational Numbers

Thinking Rationally. Identifying and Ordering Rational Numbers Thinking Rationally Identifying and Ordering Rational Numbers 1 WARM UP Determine the fraction represented by the shaded part of each grid. If necessary, rewrite in lowest terms. 1. 2. LEARNING GOALS Understand

More information

Algebra II. Slide 1 / 241. Slide 2 / 241. Slide 3 / 241. Probability and Statistics. Table of Contents click on the topic to go to that section

Algebra II. Slide 1 / 241. Slide 2 / 241. Slide 3 / 241. Probability and Statistics. Table of Contents click on the topic to go to that section Slide 1 / 241 Slide 2 / 241 Algebra II Probability and Statistics 2016-01-15 www.njctl.org Table of Contents click on the topic to go to that section Slide 3 / 241 Sets Independence and Conditional Probability

More information

Probability and Randomness. Day 1

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

More information

2. Nine points are distributed around a circle in such a way that when all ( )

2. Nine points are distributed around a circle in such a way that when all ( ) 1. How many circles in the plane contain at least three of the points (0, 0), (0, 1), (0, 2), (1, 0), (1, 1), (1, 2), (2, 0), (2, 1), (2, 2)? Solution: There are ( ) 9 3 = 8 three element subsets, all

More information

POLYA'S FOUR STEP PROBLEM SOLVING PROCESS Understand. Devise a Plan. Carry out Plan. Look Back. PROBLEM SOLVING STRATEGIES (exmples) Making a Drawlnq

POLYA'S FOUR STEP PROBLEM SOLVING PROCESS Understand. Devise a Plan. Carry out Plan. Look Back. PROBLEM SOLVING STRATEGIES (exmples) Making a Drawlnq 1.1 KEY IDEAS POLYA'S FOUR STEP PROBLEM SOLVING PROCESS Understand Devise a Plan Carry out Plan Look Back PROBLEM SOLVING STRATEGIES (exmples) Making a Drawlnq Guesslnc and Checking Making a Table UsinQ

More information

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

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

More information

Probability. Dr. Zhang Fordham Univ.

Probability. Dr. Zhang Fordham Univ. Probability! Dr. Zhang Fordham Univ. 1 Probability: outline Introduction! Experiment, event, sample space! Probability of events! Calculate Probability! Through counting! Sum rule and general sum rule!

More information

MATHEMATICS 152, FALL 2004 METHODS OF DISCRETE MATHEMATICS Outline #10 (Sets and Probability)

MATHEMATICS 152, FALL 2004 METHODS OF DISCRETE MATHEMATICS Outline #10 (Sets and Probability) MATHEMATICS 152, FALL 2004 METHODS OF DISCRETE MATHEMATICS Outline #10 (Sets and Probability) Last modified: November 10, 2004 This follows very closely Apostol, Chapter 13, the course pack. Attachments

More information

Probability. Probabilty Impossibe Unlikely Equally Likely Likely Certain

Probability. Probabilty Impossibe Unlikely Equally Likely Likely Certain PROBABILITY Probability The likelihood or chance of an event occurring If an event is IMPOSSIBLE its probability is ZERO If an event is CERTAIN its probability is ONE So all probabilities lie between 0

More information

EDULABZ INTERNATIONAL SETS AND VENN DIAGRAMS

EDULABZ INTERNATIONAL SETS AND VENN DIAGRAMS 12 SETS ND VENN DIGRMS Section I : Sets 1. Describe the following sets in roster form : (i) 2 { x / x = n, n N, 2 n 5} (ii) {x / x is composite number and 11 < x < 25} (iii) {x / x W, x is divisible by

More information

Name: Exam I. February 5, 2015

Name: Exam I. February 5, 2015 Department of Mathematics University of Notre Dame Math 10120 Finite Math Spring 201 Name: Instructors: Garbett & Migliore Exam I February, 201 This exam is in two parts on 10 pages and contains 1 problems

More information

TOPOLOGY, LIMITS OF COMPLEX NUMBERS. Contents 1. Topology and limits of complex numbers 1

TOPOLOGY, LIMITS OF COMPLEX NUMBERS. Contents 1. Topology and limits of complex numbers 1 TOPOLOGY, LIMITS OF COMPLEX NUMBERS Contents 1. Topology and limits of complex numbers 1 1. Topology and limits of complex numbers Since we will be doing calculus on complex numbers, not only do we need

More information

Mutually Exclusive Events

Mutually Exclusive Events Mutually Exclusive Events Suppose you are rolling a six-sided die. What is the probability that you roll an odd number and you roll a 2? Can these both occur at the same time? Why or why not? Mutually

More information

Example: If A = {1, 2, 3} and B = {3, 4, 5}, then A B= {3}.

Example: If A = {1, 2, 3} and B = {3, 4, 5}, then A B= {3}. Section 1.3: Intersection and Union of Two Sets Exploring the Different Regions of a Venn Diagram There are 6 different set notations that you must become familiar with. 1. The intersection is the set

More information

CSE 21 Mathematics for Algorithm and System Analysis

CSE 21 Mathematics for Algorithm and System Analysis CSE 21 Mathematics for Algorithm and System Analysis Unit 1: Basic Count and List Section 3: Set CSE21: Lecture 3 1 Reminder Piazza forum address: http://piazza.com/ucsd/summer2013/cse21/hom e Notes on

More information

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

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Use set notation to list all the elements of the set. 1) The integers between 4 and 8, not inclusive

More information

A theorem on the cores of partitions

A theorem on the cores of partitions A theorem on the cores of partitions Jørn B. Olsson Department of Mathematical Sciences, University of Copenhagen Universitetsparken 5,DK-2100 Copenhagen Ø, Denmark August 9, 2008 Abstract: If s and t

More information

Applications of Probability

Applications of Probability Applications of Probability CK-12 Kaitlyn Spong Say Thanks to the Authors Click http://www.ck12.org/saythanks (No sign in required) To access a customizable version of this book, as well as other interactive

More information

Final exam. Question Points Score. Total: 150

Final exam. Question Points Score. Total: 150 MATH 11200/20 Final exam DECEMBER 9, 2016 ALAN CHANG Please present your solutions clearly and in an organized way Answer the questions in the space provided on the question sheets If you run out of room

More information

STOR 155 Introductory Statistics. Lecture 10: Randomness and Probability Model

STOR 155 Introductory Statistics. Lecture 10: Randomness and Probability Model The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STOR 155 Introductory Statistics Lecture 10: Randomness and Probability Model 10/6/09 Lecture 10 1 The Monty Hall Problem Let s Make A Deal: a game show

More information

Name: Partners: Math Academy I. Review 6 Version A. 5. There are over a billion different possible orders for a line of 14 people.

Name: Partners: Math Academy I. Review 6 Version A. 5. There are over a billion different possible orders for a line of 14 people. Name: Partners: Math Academy I Date: Review 6 Version A [A] Circle whether each statement is true or false. 1. Odd and less than 4 are mutually exclusive. 2. The probability of a card being red given it

More information

PA3 Part 2: BLM List. Workbook 3 - Patterns & Algebra, Part 2 1 BLACKLINE MASTERS

PA3 Part 2: BLM List. Workbook 3 - Patterns & Algebra, Part 2 1 BLACKLINE MASTERS PA Part : BLM List Calendars Colouring Exercise Hanji Puzzles Hundreds Charts 8 Mini Sudoku 9 Sudoku The Real Thing Sudoku Warm Up Venn Diagram BLACKLINE MASTERS Workbook - Patterns & Algebra, Part Calendars

More information

Chapter 1 - Set Theory

Chapter 1 - Set Theory Midterm review Math 3201 Name: Chapter 1 - Set Theory Part 1: Multiple Choice : 1) U = {hockey, basketball, golf, tennis, volleyball, soccer}. If B = {sports that use a ball}, which element would be in

More information

Principle of Inclusion-Exclusion Notes

Principle of Inclusion-Exclusion Notes Principle of Inclusion-Exclusion Notes The Principle of Inclusion-Exclusion (often abbreviated PIE is the following general formula used for finding the cardinality of a union of finite sets. Theorem 0.1.

More information

Week 3 Classical Probability, Part I

Week 3 Classical Probability, Part I Week 3 Classical Probability, Part I Week 3 Objectives Proper understanding of common statistical practices such as confidence intervals and hypothesis testing requires some familiarity with probability

More information

Basic Probability. Let! = # 8 # < 13, # N -,., and / are the subsets of! such that - = multiples of four. = factors of 24 / = square numbers

Basic Probability. Let! = # 8 # < 13, # N -,., and / are the subsets of! such that - = multiples of four. = factors of 24 / = square numbers Basic Probability Let! = # 8 # < 13, # N -,., and / are the subsets of! such that - = multiples of four. = factors of 24 / = square numbers (a) List the elements of!. (b) (i) Draw a Venn diagram to show

More information

Name: Final Exam May 7, 2014

Name: Final Exam May 7, 2014 MATH 10120 Finite Mathematics Final Exam May 7, 2014 Name: Be sure that you have all 16 pages of the exam. The exam lasts for 2 hrs. There are 30 multiple choice questions, each worth 5 points. You may

More information

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

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

More information

Level 4 KS3 Answers 1. Completes all three grids correctly, ie 3

Level 4 KS3 Answers 1. Completes all three grids correctly, ie 3 Level 4 KS3 Answers 1. Completes all three grids crectly, ie 3 11 12 4 7 9 3 28 27 10 10 6 4 4 6 24 24 Completes the first two grids crectly 2 Completes the third grid crectly and gives any two crect entries

More information

STAT 155 Introductory Statistics. Lecture 11: Randomness and Probability Model

STAT 155 Introductory Statistics. Lecture 11: Randomness and Probability Model The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STAT 155 Introductory Statistics Lecture 11: Randomness and Probability Model 10/5/06 Lecture 11 1 The Monty Hall Problem Let s Make A Deal: a game show

More information

THE PIGEONHOLE PRINCIPLE. MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin

THE PIGEONHOLE PRINCIPLE. MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin THE PIGEONHOLE PRINCIPLE MARK FLANAGAN School of Electrical and Electronic Engineering University College Dublin The Pigeonhole Principle: If n + 1 objects are placed into n boxes, then some box contains

More information

Name: Teacher: DO NOT OPEN THE EXAMINATION PAPER UNTIL YOU ARE TOLD BY THE SUPERVISOR TO BEGIN. Mathematics 3201

Name: Teacher: DO NOT OPEN THE EXAMINATION PAPER UNTIL YOU ARE TOLD BY THE SUPERVISOR TO BEGIN. Mathematics 3201 Name: Teacher: DO NOT OPEN THE EXAMINATION PAPER UNTIL YOU ARE TOLD BY THE SUPERVISOR TO BEGIN Mathematics 20 SAMPLE MID-YEAR EXAMINATION #2 January 205 Value: 70 Marks Duration: 2 Hours General Instructions

More information

1324 Test 1 Review Page 1 of 10

1324 Test 1 Review Page 1 of 10 1324 Test 1 Review Page 1 of 10 Review for Exam 1 Math 1324 TTh Chapters 7, 8 Problems 1-10: Determine whether the statement is true or false. 1. {5} {4,5, 7}. 2. {4,5,7}. 3. {4,5} {4,5,7}. 4. {4,5} {4,5,7}

More information

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE MATH 205 - CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING 2009 - DR. DAVID BRIDGE TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false. Tell whether the statement is

More information

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

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

More information

The Hex game and its mathematical side

The Hex game and its mathematical side The Hex game and its mathematical side Antonín Procházka Laboratoire de Mathématiques de Besançon Université Franche-Comté Lycée Jules Haag, 19 mars 2013 Brief history : HEX was invented in 1942

More information

Outline. Sets of Gluing Data. Constructing Manifolds. Lecture 3 - February 3, PM

Outline. Sets of Gluing Data. Constructing Manifolds. Lecture 3 - February 3, PM Constructing Manifolds Lecture 3 - February 3, 2009-1-2 PM Outline Sets of gluing data The cocycle condition Parametric pseudo-manifolds (PPM s) Conclusions 2 Let n and k be integers such that n 1 and

More information

4.1 Sample Spaces and Events

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

More information

Solutions for Exam I, Math 10120, Fall 2016

Solutions for Exam I, Math 10120, Fall 2016 Solutions for Exam I, Math 10120, Fall 2016 1. Let U = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} A = {1, 2, 3} B = {2, 4, 6, 8, 10}. C = {4, 5, 6, 7, 8}. Which of the following sets is equal to (A B) C? {1, 2, 3,

More information

Reading 14 : Counting

Reading 14 : Counting CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Instructors: Beck Hasti, Gautam Prakriya Reading 14 : Counting In this reading we discuss counting. Often, we are interested in the cardinality

More information

Estimating with Square Roots

Estimating with Square Roots ACTIVITY 3.2 Estimating with Square Roots The square root of most numbers is not an integer. You can estimate the square root of a number that is not a perfect square. Begin by determining the two perfect

More information

Solution: This is sampling without repetition and order matters. Therefore

Solution: This is sampling without repetition and order matters. Therefore June 27, 2001 Your name It is important that you show your work. The total value of this test is 220 points. 1. (10 points) Use the Euclidean algorithm to solve the decanting problem for decanters of sizes

More information

28/08/2016. Sets Learning Outcomes. Use Set Notation and Terminology. Use Set Notation and Terminology

28/08/2016. Sets Learning Outcomes. Use Set Notation and Terminology. Use Set Notation and Terminology 1 Sets Learning Outcomes Use set notation and terminology. List elements of a finite set. Describe the rule that defines a set. Describe and recognise equality of sets. Perform intersection, union. Investigate

More information

MATHEMATICS E-102, FALL 2005 SETS, COUNTING, AND PROBABILITY Outline #1 (Probability, Intuition, and Axioms)

MATHEMATICS E-102, FALL 2005 SETS, COUNTING, AND PROBABILITY Outline #1 (Probability, Intuition, and Axioms) MATHEMATICS E-102, FALL 2005 SETS, COUNTING, AND PROBABILITY Outline #1 (Probability, Intuition, and Axioms) Last modified: September 19, 2005 Reference: EP(Elementary Probability, by Stirzaker), Chapter

More information

Chapter 5 - Elementary Probability Theory

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

More information

Intermediate Math Circles November 1, 2017 Probability I

Intermediate Math Circles November 1, 2017 Probability I Intermediate Math Circles November 1, 2017 Probability I Probability is the study of uncertain events or outcomes. Games of chance that involve rolling dice or dealing cards are one obvious area of application.

More information

MEP: Demonstration Project Y7A, Unit 1. Activities

MEP: Demonstration Project Y7A, Unit 1. Activities UNIT 1 Logic Activities Activities 1.1 Two Way Tables 1.2 Shapes in Two Way Tables a. Shapes b. Numbers c. Letters 1.3 Venn Diagrams 1.4 Numbers in Venn Diagrams a. Venn Diagrams 1.5 Plane Passengers 1.6

More information