Homework 1. Spring 2019 (Due Tuesday January 22)

Size: px
Start display at page:

Download "Homework 1. Spring 2019 (Due Tuesday January 22)"

Transcription

1 ECE 302: Probabilistic Methods in Electrical and Computer Engineering Spring 2019 Instructor: Prof. A. R. Reibman Homework 1 Spring 2019 (Due Tuesday January 22) Homework is due on Tuesday January 22 at the beginning of class. No late homework will be accepted. Include a brief description of all sources of information you used (including other people), not counting the text, handouts, or material posted on the web page, or state I did not receive help on this homework. You do not need to reference any material presented in class or on the course web-site, in the textbook, nor Prof. Reibman nor TA Chen Bai. Topics: Sample space, events, set theory, Probability mappings; reading in Chapters 1 and Section Conditional Probability (Section 2.4) Exercise 1. The space S and three of its subsets are given by S = {n Z : 0 n 11}, A = {1, 3, 4, 5, 9}, and B = {4, 7, 9, 11}, and C = {1, 3, 9, 11}. Find A B C, A c B, A C, and (A B) B.

2 Exercise 2. (from exam 1, Fall 2015) For each of the following relations, determine which is valid for arbitrary events A, B, and C. (Note: to be true for arbitrary events, it must be true for any such event. Use a Venn diagram if it is helpful.) (On the exam, this was a True/False question. For this homework, show whether it is true or false.) (a) (A B C) c = A c B c C c (b) (A B) (A B c ) (A c B) = (A c B c ) c (c) (A B) C = A (B C). (d) (A B) (A c B c ) = (A B c ) (A c B) (A c B C c ) Hint: be careful, item (d) is tricky. 2

3 Exercise 3. Four marbles, numbered 1,2,3 and 4 are placed in a box. One of the marbles is drawn randomly from the box and its number, N 1 is noted. (So, N 1 =1,2,3, or 4.) An integer N 2 is then selected at random from the values 1,..., N 1. The outcome of this experiment is the ordered pair (N 1, N 2 ), where N 1 denotes the marble and N 2 is just a number. (a) Write the sample space of the experiment. (b) Write the event Marble 2 is selected. (c) Write the event N 2 = 3. (d) Write the event Marble 2 is selected and N 2 = 3. 3

4 Exercise 4. An integrated circuit (IC) factory has three machines, X, Y, and Z. Test one IC from each machine, and observe if each is acceptable (a) or fails (f). Thus, an observation is a sequence of the three test results from each machine. For example, the observation that the circuit from Z fails while the circuits from X and Y pass is aaf. (a) What is the sample space? (b) What are the elements of the sets Z F = {circuit from Z fails} and X A = {circuit from X is acceptable}? (c) Are Z F and X A mutually exclusive? Are Z F and X A collectively exhaustive? (d) What are the elements of the sets C = {more than one circuit is acceptable} and D = {at least two circuits fail}? (e) Are C and D mutually exclusive? Are C and D collectively exhaustive? 4

5 Exercise 5. Similar to but not textbook problem 2.38 Two numbers (x, y) are selected at random from the interval [0, 1]. (a) Find the probability that the pair of numbers are outside the unit circle. (b) Find the probability that 3y > x. 5

6 Exercise 6. Mobile phones perform handoffs as they move from one cell to another. During a call, a phone either performs zero handoffs (H 0 ), one handoff (H 1 ), or more than one handoff (H 2 ). In addition, each call is either long (L), if it last more than three minutes, or short S. The following table describes the probabilities of the possible types of calls. H 0 H 1 H 2 L S Complete the table by finding the missing value. What is the probability P (H 0 ) that a phone makes no handoffs? What is the probability a call is short? What is the probability a call is long or there are at least two handoffs? 6

7 Exercise 7. (From Exam 1, Fall 2016) Among the Purdue students taking ECE 302 this semester, some like dogs, some like cats, some like both, and some like neither. Let D be the set of Purdue ECE 302 students who like dogs, and C be the set who like cats. A study shows that 22% like both cats and dogs, and 12% like neither. The probability a student likes dogs exceeds the probability a student likes cats by What is the probability a randomly chosen student likes cats? 7

8 Exercise 8. Suppose among all six-letter English words, a word is picked at random (i.e., each six-letter word has the same probability of being picked). Which event is more probable: That the selected word has an n as its fifth letter, or that the selected word ends in ing? 8

9 Exercise 9. From Exam 1, Fall 2015 You have 4 otherwise identical cans of soda (also known as pop or cola), except you know that 1 was shaken up about 10 minutes ago, while the other 3 have been stable for hours. (You have lost track of which can is which.) The probability of the shaken can splattering when opened is 4/5, and the probability of a stable can splattering when opened is 1/3. (a) If you choose one can at random and open it, what is the probability of it splattering? (b) If you open a can and it splatters, what is the probability that it was the shaken can? (You may leave your answers in fractional form.) 9

10 Exercise 10. A crime is committed on an island with a population of A priori, each person is equally likely to have committed the crime. Based on a forensic test, a suspect is arrested. This is the only evidence that is presented at trial. The accuracy of the test is 99.9%, that is, P(test is positive suspect is guilty) = 0.999, and P(test is negative suspect is innocent) = You are on the jury. Do you have reasonable doubt that this person committed the crime? (Hint, find the probability the person is guilty given that they received a positive test.) 10

Homework 2. Spring 2019 (Due Thursday February 7)

Homework 2. Spring 2019 (Due Thursday February 7) ECE 302: Probabilistic Methods in Electrical and Computer Engineering Spring 2019 Instructor: Prof. A. R. Reibman Homework 2 Spring 2019 (Due Thursday February 7) Homework is due on Thursday February 7

More information

Previous Exam Questions, Chapter 2

Previous Exam Questions, Chapter 2 ECE 302: Probabilistic Methods in Electrical and Computer Engineering Instructor: Prof. A. R. Reibman Previous Exam Questions, Chapter 2 Reibman (compiled September 2018) These form a collection of 36

More information

Probability Theory and Statistics (ENGR 3341) Homework 1 Solutions

Probability Theory and Statistics (ENGR 3341) Homework 1 Solutions Probability Theory and Statistics (ENGR 3341) Homework 1 Solutions Yates and Goodman 3e Solution Set: 1.1.2, 1.2.2, 1.3.5, 1.3.6, 1.3.10, 1.4.1, 1.4.2, 1.4.7, 1.5.1, and 1.5.2 Problem 1.1.2 Solution Based

More information

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e 1 P a g e experiment ( observing / measuring ) outcomes = results sample space = set of all outcomes events = subset of outcomes If we collect all outcomes we are forming a sample space If we collect some

More information

IE 230 Seat # (1 point) Name (clearly) < KEY > Closed book and notes. No calculators. Designed for 60 minutes, but time is essentially unlimited.

IE 230 Seat # (1 point) Name (clearly) < KEY > Closed book and notes. No calculators. Designed for 60 minutes, but time is essentially unlimited. Closed book and notes. No calculators. Designed for 60 minutes, but time is essentially unlimited. Cover page, four pages of exam. This test covers through Section 2.7 of Montgomery and Runger, fourth

More information

Probability Exercises. Problem 1.

Probability Exercises. Problem 1. Probability Exercises. Ma 162 Spring 2010 Ma 162 Spring 2010 April 21, 2010 Problem 1. ˆ Conditional Probability: It is known that a student who does his online homework on a regular basis has a chance

More information

Example. What is the sample space for flipping a fair coin? Rolling a 6-sided die? Find the event E where E = {x x has exactly one head}

Example. What is the sample space for flipping a fair coin? Rolling a 6-sided die? Find the event E where E = {x x has exactly one head} Chapter 7 Notes 1 (c) Epstein, 2013 CHAPTER 7: PROBABILITY 7.1: Experiments, Sample Spaces and Events Chapter 7 Notes 2 (c) Epstein, 2013 What is the sample space for flipping a fair coin three times?

More information

Exam III Review Math-132 (Sections 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 8.1, 8.2, 8.3)

Exam III Review Math-132 (Sections 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 8.1, 8.2, 8.3) 1 Exam III Review Math-132 (Sections 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 8.1, 8.2, 8.3) On this exam, questions may come from any of the following topic areas: - Union and intersection of sets - Complement of

More information

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG Suggested Problems for Sets and Functions The following problems are from Discrete Mathematics and Its Applications by Kenneth H. Rosen. 1. Define the

More information

PSU MATH RELAYS LOGIC & SET THEORY 2017

PSU MATH RELAYS LOGIC & SET THEORY 2017 PSU MATH RELAYS LOGIC & SET THEORY 2017 MULTIPLE CHOICE. There are 40 questions. Select the letter of the most appropriate answer and SHADE in the corresponding region of the answer sheet. If the correct

More information

MGF 1106: Exam 1 Solutions

MGF 1106: Exam 1 Solutions MGF 1106: Exam 1 Solutions 1. (15 points total) True or false? Explain your answer. a) A A B Solution: Drawn as a Venn diagram, the statement says: This is TRUE. The union of A with any set necessarily

More information

Elements of probability theory

Elements of probability theory The role of probability theory in statistics We collect data so as to provide evidentiary support for answers we give to our many questions about the world (and in our particular case, about the business

More information

Name: Exam 2 Solutions. March 13, 2017

Name: Exam 2 Solutions. March 13, 2017 Department of Mathematics University of Notre Dame Math 00 Finite Math Spring 07 Name: Instructors: Conant/Galvin Exam Solutions March, 07 This exam is in two parts on pages and contains problems worth

More information

Math Fall 2010 Some Old Math 302 Exams There is always a danger when distributing old exams for a class that students will rely on them

Math Fall 2010 Some Old Math 302 Exams There is always a danger when distributing old exams for a class that students will rely on them Math 302.102 Fall 2010 Some Old Math 302 Exams There is always a danger when distributing old exams for a class that students will rely on them solely for their final exam preparations. The final exam

More information

Probability and Stochastic Processes

Probability and Stochastic Processes Probability and Stochastic Processes A Friendly Introduction for Electrical and Computer Engineers Third Edition INSTRUCTOR S SOLUTION MANUAL Roy D. Yates, David J. Goodman, David Famolari September 8,

More information

P B A. conditional probabilities A B and unconditional probabilities are neither 0 nor 1, this note demonstrates two consequences when

P B A. conditional probabilities A B and unconditional probabilities are neither 0 nor 1, this note demonstrates two consequences when 1 When P P A 1. Introduction Many students encountering probability theory for the first time have difficulty distinguishing conditional probabilities from joint or unconditional probabilities and they

More information

a. The sample space consists of all pairs of outcomes:

a. The sample space consists of all pairs of outcomes: Econ 250 Winter 2009 Assignment 1 Due at Midterm February 11, 2009 There are 9 questions with each one worth 10 marks. 1. The time (in seconds) that a random sample of employees took to complete a task

More information

AS 102 The Astronomical Universe (Spring 2010) Lectures: TR 11:00 am 12:30 pm, CAS Room 316 Course web page:

AS 102 The Astronomical Universe (Spring 2010) Lectures: TR 11:00 am 12:30 pm, CAS Room 316 Course web page: Instructor: AS 102 The Astronomical Universe (Spring 2010) Lectures: TR 11:00 am 12:30 pm, CAS Room 316 Course web page: http://firedrake.bu.edu/as102/as102.html Professor Tereasa Brainerd office: CAS

More information

Year 10 Mathematics Probability Practice Test 1

Year 10 Mathematics Probability Practice Test 1 Year 10 Mathematics Probability Practice Test 1 1 A letter is chosen randomly from the word TELEVISION. a How many letters are there in the word TELEVISION? b Find the probability that the letter is: i

More information

Probabilistic models

Probabilistic models Kolmogorov (Andrei Nikolaevich, 1903 1987) put forward an axiomatic system for probability theory. Foundations of the Calculus of Probabilities, published in 1933, immediately became the definitive formulation

More information

STATPRO Exercises with Solutions. Problem Set A: Basic Probability

STATPRO Exercises with Solutions. Problem Set A: Basic Probability Problem Set A: Basic Probability 1. A tea taster is required to taste and rank three varieties of tea namely Tea A, B and C; according to the tasters preference. (ranking the teas from the best choice

More information

ECO220Y Review and Introduction to Hypothesis Testing Readings: Chapter 12

ECO220Y Review and Introduction to Hypothesis Testing Readings: Chapter 12 ECO220Y Review and Introduction to Hypothesis Testing Readings: Chapter 12 Winter 2012 Lecture 13 (Winter 2011) Estimation Lecture 13 1 / 33 Review of Main Concepts Sampling Distribution of Sample Mean

More information

Homework 1 2/7/2018 SOLUTIONS Exercise 1. (a) Graph the following sets (i) C = {x R x in Z} Answer:

Homework 1 2/7/2018 SOLUTIONS Exercise 1. (a) Graph the following sets (i) C = {x R x in Z} Answer: Homework 1 2/7/2018 SOLTIONS Eercise 1. (a) Graph the following sets (i) C = { R in Z} nswer: 0 R (ii) D = {(, y), y in R,, y 2}. nswer: = 2 y y = 2 (iii) C C nswer: y 1 2 (iv) (C C) D nswer: = 2 y y =

More information

4. Probability of an event A for equally likely outcomes:

4. Probability of an event A for equally likely outcomes: University of California, Los Angeles Department of Statistics Statistics 110A Instructor: Nicolas Christou Probability Probability: A measure of the chance that something will occur. 1. Random experiment:

More information

South Pacific Form Seven Certificate

South Pacific Form Seven Certificate 141/1 South Pacific Form Seven Certificate INSTRUCTIONS MATHEMATICS WITH STATISTICS 2015 QUESTION and ANSWER BOOKLET Time allowed: Two and a half hours Write your Student Personal Identification Number

More information

Wednesday, 10 September 2008

Wednesday, 10 September 2008 MA211 : Calculus, Part 1 Lecture 2: Sets and Functions Dr Niall Madden (Mathematics, NUI Galway) Wednesday, 10 September 2008 MA211 Lecture 2: Sets and Functions 1/33 Outline 1 Short review of sets 2 Sets

More information

Outline. Wednesday, 10 September Schedule. Welcome to MA211. MA211 : Calculus, Part 1 Lecture 2: Sets and Functions

Outline. Wednesday, 10 September Schedule. Welcome to MA211. MA211 : Calculus, Part 1 Lecture 2: Sets and Functions Outline MA211 : Calculus, Part 1 Lecture 2: Sets and Functions Dr Niall Madden (Mathematics, NUI Galway) Wednesday, 10 September 2008 1 Short review of sets 2 The Naturals: N The Integers: Z The Rationals:

More information

AS 101: The Solar System (Spring 2017) Course Syllabus

AS 101: The Solar System (Spring 2017) Course Syllabus AS 101: The Solar System (Spring 2017) Course Syllabus Instructor: Professor Wen Li Office: CAS 501 Phone: 617-353-7439 Email: wenli77@bu.edu Office hours: Mondays 3:30 5:00 pm, Wednesdays 3:30 5:00 pm,

More information

Homework 1 (revised) Solutions

Homework 1 (revised) Solutions Homework 1 (revised) Solutions 1. Textbook, 1.1.1, # 1.1.2 (p. 24) Let S be an ordered set. Let A be a non-empty finite subset. Then A is bounded and sup A, inf A A Solution. The hint was: Use induction,

More information

3 PROBABILITY TOPICS

3 PROBABILITY TOPICS Chapter 3 Probability Topics 135 3 PROBABILITY TOPICS Figure 3.1 Meteor showers are rare, but the probability of them occurring can be calculated. (credit: Navicore/flickr) Introduction It is often necessary

More information

Introduction to Probability, Fall 2009

Introduction to Probability, Fall 2009 Introduction to Probability, Fall 2009 Math 30530 Review questions for exam 1 solutions 1. Let A, B and C be events. Some of the following statements are always true, and some are not. For those that are

More information

MAT2377. Ali Karimnezhad. Version September 9, Ali Karimnezhad

MAT2377. Ali Karimnezhad. Version September 9, Ali Karimnezhad MAT2377 Ali Karimnezhad Version September 9, 2015 Ali Karimnezhad Comments These slides cover material from Chapter 1. In class, I may use a blackboard. I recommend reading these slides before you come

More information

FINAL EXAM: 3:30-5:30pm

FINAL EXAM: 3:30-5:30pm ECE 30: Probabilistic Methods in Electrical and Computer Engineering Spring 016 Instructor: Prof. A. R. Reibman FINAL EXAM: 3:30-5:30pm Spring 016, MWF 1:30-1:0pm (May 6, 016) This is a closed book exam.

More information

Topic 5: Probability. 5.4 Combined Events and Conditional Probability Paper 1

Topic 5: Probability. 5.4 Combined Events and Conditional Probability Paper 1 Topic 5: Probability Standard Level 5.4 Combined Events and Conditional Probability Paper 1 1. In a group of 16 students, 12 take art and 8 take music. One student takes neither art nor music. The Venn

More information

(a) Fill in the missing probabilities in the table. (b) Calculate P(F G). (c) Calculate P(E c ). (d) Is this a uniform sample space?

(a) Fill in the missing probabilities in the table. (b) Calculate P(F G). (c) Calculate P(E c ). (d) Is this a uniform sample space? Math 166 Exam 1 Review Sections L.1-L.2, 1.1-1.7 Note: This review is more heavily weighted on the new material this week: Sections 1.5-1.7. For more practice problems on previous material, take a look

More information

Probability (Devore Chapter Two)

Probability (Devore Chapter Two) Probability (Devore Chapter Two) 1016-345-01: Probability and Statistics for Engineers Fall 2012 Contents 0 Administrata 2 0.1 Outline....................................... 3 1 Axiomatic Probability 3

More information

= A. Example 2. Let U = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, A = {4, 6, 7, 9, 10}, and B = {2, 6, 8, 9}. Draw the sets on a Venn diagram.

= A. Example 2. Let U = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, A = {4, 6, 7, 9, 10}, and B = {2, 6, 8, 9}. Draw the sets on a Venn diagram. MATH 109 Sets A mathematical set is a well-defined collection of objects A for which we can determine precisely whether or not any object belongs to A. Objects in a set are formally called elements of

More information

Multiple Choice Practice Set 1

Multiple Choice Practice Set 1 Multiple Choice Practice Set 1 This set of questions covers material from Chapter 1. Multiple choice is the same format as for the midterm. Q1. Two events each have probability 0.2 of occurring and are

More information

7.5: Conditional Probability and Independent Events

7.5: Conditional Probability and Independent Events c Dr Oksana Shatalov, Spring 2012 1 7.5: Conditional Probability and Independent Events EXAMPLE 1. Two cards are drawn from a deck of 52 without replacement. (a) What is the probability of that the first

More information

Check that your exam contains 20 multiple-choice questions, numbered sequentially.

Check that your exam contains 20 multiple-choice questions, numbered sequentially. MATH 22 MAKEUP EXAMINATION Fall 26 VERSION A NAME STUDENT NUMBER INSTRUCTOR SECTION NUMBER On your scantron, write and bubble your PSU ID, Section Number, and Test Version. Failure to correctly code these

More information

CHEM 4725/8725 Organometallic Chemistry. Spring 2016

CHEM 4725/8725 Organometallic Chemistry. Spring 2016 Lecture Time and Location: CHEM 4725/8725 Organometallic Chemistry Spring 2016 11:15 am - 12:30 pm Tuesdays and Thursdays 111 Smith Hall Instructor: Prof. Ian A. Tonks 568A Kolthoff Hall Phone: 612.624.4705

More information

Probabilistic models

Probabilistic models Probabilistic models Kolmogorov (Andrei Nikolaevich, 1903 1987) put forward an axiomatic system for probability theory. Foundations of the Calculus of Probabilities, published in 1933, immediately became

More information

Part 3: Parametric Models

Part 3: Parametric Models Part 3: Parametric Models Matthew Sperrin and Juhyun Park August 19, 2008 1 Introduction There are three main objectives to this section: 1. To introduce the concepts of probability and random variables.

More information

Monday May 12, :00 to 1:30 AM

Monday May 12, :00 to 1:30 AM ASTRONOMY 108: Descriptive Astronomy Spring 2008 Instructor: Hugh Gallagher Office: Physical Science Building 130 Phone, Email: 436-3177, gallagha@oneonta.edu Office Hours: M 2:00-3:00 PM, Th 10:00-11:00

More information

Spring 2018 Exam 2 MARK BOX HAND IN PART NAME: PIN: INSTRUCTIONS

Spring 2018 Exam 2 MARK BOX HAND IN PART NAME: PIN: INSTRUCTIONS Spring 208 Exam 2 problem MARK BOX points HAND IN PART 0 0 4 2-5 56=4x4 6 0 7 0 NAME: PIN: % 00 INSTRUCTIONS This exam comes in two parts () HAND IN PART Hand in only this part (2) STATEMENT OF MULTIPLE

More information

AS The Astronomical Universe. Prof. Merav Opher - Fall 2013

AS The Astronomical Universe. Prof. Merav Opher - Fall 2013 SYLLABUS AS 102 - The Astronomical Universe Prof. Merav Opher - Fall 2013 Course Catalog Summary: The birth and death of stars; red giants, white dwarfs, black holes; our galaxy, the Milky Way, and other

More information

Math , Fall 2014 TuTh 12:30pm - 1:45pm MTH 0303 Dr. M. Machedon. Office: Math Office Hour: Tuesdays and

Math , Fall 2014 TuTh 12:30pm - 1:45pm MTH 0303 Dr. M. Machedon. Office: Math Office Hour: Tuesdays and Math 411 0201, Fall 2014 TuTh 12:30pm - 1:45pm MTH 0303 Dr. M. Machedon. Office: Math 3311. Email mxm@math.umd.edu Office Hour: Tuesdays and Thursdays 2-3 Textbook: Advanced Calculus, Second Edition, by

More information

Course Staff. Textbook

Course Staff. Textbook Course Staff CS311H: Discrete Mathematics Intro and Propositional Logic Instructor: Işıl Dillig Instructor: Prof. Işıl Dillig TAs: Jacob Van Geffen, Varun Adiga, Akshay Gupta Class meets every Monday,

More information

ECE 4800 Fall 2011: Electromagnetic Fields and Waves. Credits: 4 Office Hours: M 6-7:30PM, Th 2-3:30, and by appointment

ECE 4800 Fall 2011: Electromagnetic Fields and Waves. Credits: 4 Office Hours: M 6-7:30PM, Th 2-3:30, and by appointment ECE 4800 Fall 2011: Electromagnetic Fields and Waves Instructor: Amar S. Basu Office: 3133 Engineering Email: abasu@eng.wayne.edu Phone: 313-577-3990 Lecture Times: M W 7:30PM - 9:20PM, Class Dates: 9/7/11

More information

Problem Points Score Total 100

Problem Points Score Total 100 Exam 2 A. Miller Spring 2002 Math 240 0 Show all work. Circle your answer. No notes, no books, no calculator, no cell phones, no pagers, no electronic devices at all. Solutions will be posted shortly after

More information

FINAL EXAM: Monday 8-10am

FINAL EXAM: Monday 8-10am ECE 30: Probabilistic Methods in Electrical and Computer Engineering Fall 016 Instructor: Prof. A. R. Reibman FINAL EXAM: Monday 8-10am Fall 016, TTh 3-4:15pm (December 1, 016) This is a closed book exam.

More information

Senior Math Circles March 3, 2010 Counting Techniques and Probability II

Senior Math Circles March 3, 2010 Counting Techniques and Probability II 1 University of Waterloo Faculty of Mathematics Senior Math Circles March 3, 2010 Counting Techniques and Probability II Centre for Education in Mathematics and Computing Counting Rules Multiplication

More information

1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks)

1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks) 1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks) 2. In a school of 88 boys, 32 study economics (E), 28 study history (H) and 39 do not

More information

Estadística I Exercises Chapter 4 Academic year 2015/16

Estadística I Exercises Chapter 4 Academic year 2015/16 Estadística I Exercises Chapter 4 Academic year 2015/16 1. An urn contains 15 balls numbered from 2 to 16. One ball is drawn at random and its number is reported. (a) Define the following events by listing

More information

384 PU M.Sc Five year Integrated M.Sc Programmed (Mathematics, Computer Science,Statistics)

384 PU M.Sc Five year Integrated M.Sc Programmed (Mathematics, Computer Science,Statistics) 384 PU M.Sc Five year Integrated M.Sc Programmed (Mathematics, Computer Science,Statistics) 1 of 1 146 PU_216_384_E 2 cos 1 π 4 cos 1 cos1 2 of 1 15 PU_216_384_E 1! 1 1 3 of 1 15 PU_216_384_E 1 4 of 1

More information

Homework 4 Math 11, UCSD, Winter 2018 Due on Tuesday, 13th February

Homework 4 Math 11, UCSD, Winter 2018 Due on Tuesday, 13th February PID: Last Name, First Name: Section: Approximate time spent to complete this assignment: hour(s) Homework 4 Math 11, UCSD, Winter 2018 Due on Tuesday, 13th February Readings: Chapters 16.6-16.7 and the

More information

Posted Thursday February 14. STUDY IN-DEPTH...the posted solutions to homeworks 1-3. Compare with your own solutions.

Posted Thursday February 14. STUDY IN-DEPTH...the posted solutions to homeworks 1-3. Compare with your own solutions. CIS 160 - Spring 2019 (Instructors Val Tannen, Clayton Greenberg Midterm 1 Review Posted Thursday February 14 1 Readings STUDY IN-DEPTH......the posted notes for lectures 1-8. STUDY IN-DEPTH......the posted

More information

Week 2. Section Texas A& M University. Department of Mathematics Texas A& M University, College Station 22 January-24 January 2019

Week 2. Section Texas A& M University. Department of Mathematics Texas A& M University, College Station 22 January-24 January 2019 Week 2 Section 1.2-1.4 Texas A& M University Department of Mathematics Texas A& M University, College Station 22 January-24 January 2019 Oğuz Gezmiş (TAMU) Topics in Contemporary Mathematics II Week2 1

More information

Page 1 of 5 Printed: 2/4/09

Page 1 of 5 Printed: 2/4/09 Course Goal: CHEN 205 - Chemical Engineering Thermodynamics I, Credit 3 (3-0) Spring 2009, TuTh 9:35 10:50, Brown 102 (a) To introduce students to the fundamental concepts and laws of thermodynamics; and

More information

PLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 2. (a) (b) (c) (d) (e) (a) (b) (c) (d) (e) 4. (a) (b) (c) (d) (e)...

PLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 2. (a) (b) (c) (d) (e) (a) (b) (c) (d) (e) 4. (a) (b) (c) (d) (e)... Math 020, Exam II October, 206 The Honor Code is in effect for this examination. All work is to be your own. You may use a calculator. The exam lasts for hour 5 minutes. Be sure that your name is on every

More information

Hypothesis Testing. ECE 3530 Spring Antonio Paiva

Hypothesis Testing. ECE 3530 Spring Antonio Paiva Hypothesis Testing ECE 3530 Spring 2010 Antonio Paiva What is hypothesis testing? A statistical hypothesis is an assertion or conjecture concerning one or more populations. To prove that a hypothesis is

More information

Acceleration and Force: I

Acceleration and Force: I Lab Section (circle): Day: Monday Tuesday Time: 8:00 9:30 1:10 2:40 Acceleration and Force: I Name Partners Pre-Lab You are required to finish this section before coming to the lab, which will be checked

More information

Week 2: Counting with sets; The Principle of Inclusion and Exclusion (PIE) 13 & 15 September 2017

Week 2: Counting with sets; The Principle of Inclusion and Exclusion (PIE) 13 & 15 September 2017 (1/25) MA204/MA284 : Discrete Mathematics Week 2: Counting with sets; The Principle of Inclusion and Exclusion (PIE) Dr Niall Madden 13 & 15 September 2017 A B A B C Tutorials (2/25) Tutorials will start

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. Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Write a word description of the set. 1) {January, February, March, April, May, June, July,

More information

Student s Printed Name:

Student s Printed Name: MthSc 17 Test Spring 1 Student s Printed Name: CUID: Instructor: Section # : You are not permitted to use a calculator on any portion of this test. You are not allowed to use any textbook, notes, cell

More information

: 6:00 7:15 PM SC2208 : 7:30 10:20 PM SC2208

: 6:00 7:15 PM SC2208 : 7:30 10:20 PM SC2208 Chem 1C-61 General Chemistry Course Outline Spring, 2016 Dr. Billie Lo (billielo@comcast.net) Lecture: TTh 6:00 7:15 PM SC2208 Laboratory: TTh 7:30 10:20 PM SC2208 Office Hours: T 5:00 6:00 PM S32 PREREQUISITE:

More information

Introduction to Probability Theory, Algebra, and Set Theory

Introduction to Probability Theory, Algebra, and Set Theory Summer School on Mathematical Philosophy for Female Students Introduction to Probability Theory, Algebra, and Set Theory Catrin Campbell-Moore and Sebastian Lutz July 28, 2014 Question 1. Draw Venn diagrams

More information

Chapter 2 Probability

Chapter 2 Probability Basic Axioms and properties Chapter 2 Probability 1. 0 Pr(A) 1 2. Pr(S) = 1 3. A B Pr(A) Pr(B) 4. Pr(φ ) = 0 5. If A and B are disjoint i.e. A B φ P( A B) = P(A) + P(B). 6. For any two events A and B,

More information

Problem # Number of points 1 /20 2 /20 3 /20 4 /20 5 /20 6 /20 7 /20 8 /20 Total /150

Problem # Number of points 1 /20 2 /20 3 /20 4 /20 5 /20 6 /20 7 /20 8 /20 Total /150 Name Student ID # Instructor: SOLUTION Sergey Kirshner STAT 516 Fall 09 Practice Midterm #1 January 31, 2010 You are not allowed to use books or notes. Non-programmable non-graphic calculators are permitted.

More information

PRACTICE PROBLEMS FOR EXAM 1

PRACTICE PROBLEMS FOR EXAM 1 PRACTICE PROBLEMS FOR EXAM 1 Math 3160Q Spring 01 Professor Hohn Below is a list of practice questions for Exam 1. Any quiz, homework, or example problem has a chance of being on the exam. For more practice,

More information

PROBABILITY.

PROBABILITY. PROBABILITY PROBABILITY(Basic Terminology) Random Experiment: If in each trial of an experiment conducted under identical conditions, the outcome is not unique, but may be any one of the possible outcomes,

More information

Essentials of Physics PHYS 101 Spring, 2007

Essentials of Physics PHYS 101 Spring, 2007 Essentials of Physics PHYS 101 Spring, 2007 Instructor: Dr. Dean Livelybrooks E-mail: dlivelyb@hendrix2; 346-5855 Office: 225 Willamette Hall Office hours: U10:00, H14:00 TAs: Anthony Clark E-mail: aclark@uoregon.edu

More information

Notes. Combinatorics. Combinatorics II. Notes. Notes. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006

Notes. Combinatorics. Combinatorics II. Notes. Notes. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006 Combinatorics Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Spring 2006 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 4.1-4.6 & 6.5-6.6 of Rosen cse235@cse.unl.edu

More information

Chapter 2 PROBABILITY SAMPLE SPACE

Chapter 2 PROBABILITY SAMPLE SPACE Chapter 2 PROBABILITY Key words: Sample space, sample point, tree diagram, events, complement, union and intersection of an event, mutually exclusive events; Counting techniques: multiplication rule, permutation,

More information

CMSC 250 Spring 2016: Final Exam Review Questions Key

CMSC 250 Spring 2016: Final Exam Review Questions Key CMSC 250 Spring 2016: Final Exam Review Questions Key 1 Description and disclaimer Use these questions to help review for the upcoming final exam. Note, these questions are not necessarily representative

More information

CCHEMISTRY 366. Inorganic Chemistry with Emphasis on Bioinorganic, Medicinal & Materials Chemistry

CCHEMISTRY 366. Inorganic Chemistry with Emphasis on Bioinorganic, Medicinal & Materials Chemistry CCHEMISTRY 366 Inorganic Chemistry with Emphasis on Bioinorganic, Medicinal & Materials Chemistry Instructor: North Building Office Hours: to be decided by class, probably Tuesday after class or by appointment.

More information

Senior Math Circles November 19, 2008 Probability II

Senior Math Circles November 19, 2008 Probability II University of Waterloo Faculty of Mathematics Centre for Education in Mathematics and Computing Senior Math Circles November 9, 2008 Probability II Probability Counting There are many situations where

More information

Chemistry 503 : Organometallics (3 credits) Spring 2016

Chemistry 503 : Organometallics (3 credits) Spring 2016 Chemistry 503 : Organometallics (3 credits) Spring 2016 Monday, Wednesday, Friday 1:10-2 pm in Fulmer 225 Syllabus Instructor: Prof. Zachariah Heiden Fulmer 40 509-335-0936 zachariah.heiden@wsu.edu Office

More information

Astro 32 - Galactic and Extragalactic Astrophysics/Spring 2016

Astro 32 - Galactic and Extragalactic Astrophysics/Spring 2016 Astro 32 - Galactic and Extragalactic Astrophysics/Spring 2016 The class meets Monday and Wednesday 10:30-11:45am (Block E+) in 574 Boston Ave, room 401 Instructor: Professor Anna Sajina email: Anna.Sajina@tufts.edu

More information

Required Textbook. Grade Determined by

Required Textbook. Grade Determined by Physics 273 Honors (Spring 2015) (4 Credit Hours) Fundamentals of Physics II Syllabus available on BlackBoard http://webcourses.niu.edu/ under Course information Name: Prof. Omar Chmaissem (sha-my-sim)

More information

Exam 1. Name: = = P (convicted) P (guilty convicted)p (convicted) P (guilty convicted)p (convicted)+p (guilty convicted)p (convicted)

Exam 1. Name: = = P (convicted) P (guilty convicted)p (convicted) P (guilty convicted)p (convicted)+p (guilty convicted)p (convicted) Exam Name: Show all your work to receive full credit - It is acceptable to give expressions for answers where possible. For example, the following answer is acceptable P (A) = ( 4 )( 5 ( 2) 9 5). The legal

More information

A100H Exploring the Universe: Introduction. Martin D. Weinberg UMass Astronomy

A100H Exploring the Universe: Introduction. Martin D. Weinberg UMass Astronomy A100H Exploring the Universe: Introduction Martin D. Weinberg UMass Astronomy astron100h-mdw@umass.edu January 19, 2016 Lec 01 01/19/16 slide 1 What is Astronomy? Story of our understanding of the Universe

More information

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING AND COMPUTER SCIENCE LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING AND COMPUTER SCIENCE MAT 201 - CALCULUS I PRE-REQUISITES: MAT 200 (PRECALCULUS) OR ITS EQUIVALENT BY WAIVER

More information

Give students a few minutes to reflect on Exercise 1. Then ask students to share their initial reactions and thoughts in answering the questions.

Give students a few minutes to reflect on Exercise 1. Then ask students to share their initial reactions and thoughts in answering the questions. Student Outcomes Students understand that an equation is a statement of equality between two expressions. When values are substituted for the variables in an equation, the equation is either true or false.

More information

Chapter 4 Probability

Chapter 4 Probability 4-1 Review and Preview Chapter 4 Probability 4-2 Basic Concepts of Probability 4-3 Addition Rule 4-4 Multiplication Rule: Basics 4-5 Multiplication Rule: Complements and Conditional Probability 4-6 Counting

More information

Final Examination. Your name: Circle the name of your Tutorial Instructor: David Hanson Jelani Sayan

Final Examination. Your name: Circle the name of your Tutorial Instructor: David Hanson Jelani Sayan Massachusetts Institute of Technology 6.042J/18.062J, Fall 05: Mathematics for Computer Science December 21 Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld revised December 22, 2005, 1118 minutes Circle

More information

NAME: DATE: MATHS: Working with Sets. Maths. Working with Sets

NAME: DATE: MATHS: Working with Sets. Maths. Working with Sets Maths Working with Sets It is not necessary to carry out all the activities contained in this unit. Please see Teachers Notes for explanations, additional activities, and tips and suggestions. Theme All

More information

Pre-Algebra Semester 2 Practice Exam DRAFT

Pre-Algebra Semester 2 Practice Exam DRAFT . There are 0 yellow and purple marbles in a bag. If one marble is randomly picked from the bag, what are the odds in favor of it being yellow? A. : B. : C. :3 D. 3: 3. The data below shows the number

More information

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY

FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY 5-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY 5-453 FORMAL LANGUAGES, AUTOMATA AND COMPUTABILITY YOU NEED TO PICK UP THE SYLLABUS, THE COURSE SCHEDULE, THE PROJECT INFO SHEET, TODAY S CLASS NOTES

More information

Math Exam 1 Review. NOTE: For reviews of the other sections on Exam 1, refer to the first page of WIR #1 and #2.

Math Exam 1 Review. NOTE: For reviews of the other sections on Exam 1, refer to the first page of WIR #1 and #2. Math 166 Fall 2008 c Heather Ramsey Page 1 Math 166 - Exam 1 Review NOTE: For reviews of the other sections on Exam 1, refer to the first page of WIR #1 and #2. Section 1.5 - Rules for Probability Elementary

More information

Probability (Devore Chapter Two)

Probability (Devore Chapter Two) Probability (Devore Chapter Two) 1016-345-01: Probability and Statistics for Engineers Spring 2013 Contents 0 Preliminaries 3 0.1 Motivation..................................... 3 0.2 Administrata...................................

More information

CHAPTER 9, 10. Similar to a courtroom trial. In trying a person for a crime, the jury needs to decide between one of two possibilities:

CHAPTER 9, 10. Similar to a courtroom trial. In trying a person for a crime, the jury needs to decide between one of two possibilities: CHAPTER 9, 10 Hypothesis Testing Similar to a courtroom trial. In trying a person for a crime, the jury needs to decide between one of two possibilities: The person is guilty. The person is innocent. To

More information

1 Probability Theory. 1.1 Introduction

1 Probability Theory. 1.1 Introduction 1 Probability Theory Probability theory is used as a tool in statistics. It helps to evaluate the reliability of our conclusions about the population when we have only information about a sample. Probability

More information

AMSC/MATH 673, CLASSICAL METHODS IN PDE, FALL Required text: Evans, Partial Differential Equations second edition

AMSC/MATH 673, CLASSICAL METHODS IN PDE, FALL Required text: Evans, Partial Differential Equations second edition AMSC/MATH 673, CLASSICAL METHODS IN PDE, FALL 2018. MWF 2:00pm - 2:50pm MTH 0407 Instructor: M. Machedon Office: MTH 3311 e-mail: mxm@math.umd.edu Required text: Evans, Partial Differential Equations second

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Math 1332 Exam Review Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Find the cardinal number for the set. 1) {8, 10, 12,..., 66} 1) Are the sets

More information

CS626 Data Analysis and Simulation

CS626 Data Analysis and Simulation CS626 Data Analysis and Simulation Instructor: Peter Kemper R 104A, phone 221-3462, email:kemper@cs.wm.edu Today: Probability Primer Quick Reference: Sheldon Ross: Introduction to Probability Models 9th

More information

Discrete Mathematics and Probability Theory Fall 2017 Ramchandran and Rao Midterm 2 Solutions

Discrete Mathematics and Probability Theory Fall 2017 Ramchandran and Rao Midterm 2 Solutions CS 70 Discrete Mathematics and Probability Theory Fall 2017 Ramchandran and Rao Midterm 2 Solutions PRINT Your Name: Oski Bear SIGN Your Name: OS K I PRINT Your Student ID: CIRCLE your exam room: Pimentel

More information

Exclusive Disjunction

Exclusive Disjunction Exclusive Disjunction Recall A statement is a declarative sentence that is either true or false, but not both. If we have a declarative sentence s, p: s is true, and q: s is false, can we rewrite s is

More information

4/17/2012. NE ( ) # of ways an event can happen NS ( ) # of events in the sample space

4/17/2012. NE ( ) # of ways an event can happen NS ( ) # of events in the sample space I. Vocabulary: A. Outcomes: the things that can happen in a probability experiment B. Sample Space (S): all possible outcomes C. Event (E): one outcome D. Probability of an Event (P(E)): the likelihood

More information

Unit 8: Statistics. SOL Review & SOL Test * Test: Unit 8 Statistics

Unit 8: Statistics. SOL Review & SOL Test * Test: Unit 8 Statistics Name: Block: Unit 8: Statistics Day 1 Sequences Day 2 Series Day 3 Permutations & Combinations Day 4 Normal Distribution & Empirical Formula Day 5 Normal Distribution * Day 6 Standard Normal Distribution

More information