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

Size: px
Start display at page:

Download "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"

Transcription

1 Name: Math 4 ctivity 9(Due by EOC Dec. 6) Dear Instructor or Tutor, These problems are designed to let my students show me what they have learned and what they are capable of doing on their own. Please allow them to work the problems on their own! If you would like to help them with similar problems, here are the related homework problems: pg. 449: 7- odd, 9, 4, 4, 49, 5. Thanks! Dear Student, Don t even think about asking for help on the problems in this activity! The recommended homework problems have answers in the book, so do them first for practice!!! Complete the probability distribution and histogram for the following random variables, and determine the expected value.(-). Two fair dice are rolled and the random variable, x, is the sum of the faces showing. Second die First die,,,,4,5,6,,,,4,5,6,,,,4,5,6 4, 4, 4, 4,4 4,5 4,6 5, 5, 5, 5,4 5,5 5,6 6, 6, 6, 6,4 6,5 6,6 x P x

2 . Two names are randomly drawn from a hat without replacement. Three of the names in the hat are ggies, and the other two are Longhorns. Let the random variable, x, be the total number of ggies selected. The sample space for this experiment is L, L, L, L, L, L,,,, L, L x 0 P x 0 0

3 Find the expected winnings for the following games of chance.(-4). Numbers is a game in which you bet $ on any three-digit number from 000 to 999. If your number is randomly selected, you get $500. winnings $ $499 P winnings 4. In Keno, the house has a pot containing 80 balls, each marked with a different number from to 80. You buy a ticket for $ and mark one of the 80 numbers on it. The house then selects 0 numbers at random. If your number is among the 0, you get $.0. winnings $ $.0 P winnings You win the $.0 if your number is one of the 0 numbers selected. The probability that your number is the first number selected is ; the probability that your number is the 80 second number selected is ; and so forth. So the probability that your number is one of the 80 0 numbers selected is times

4 Bonus#: miner is trapped in a mine containing three doors. The first door leads to a tunnel that will take him to safety after hours of travel. The second door leads to a tunnel that will return him to the mine after 5 hours of travel. The third door leads to a tunnel that will return him to the mine after 7 hours. If we assume that the miner always chooses a door randomly, but won t choose a door more than once, what is the expected length of time until he escapes from the mine? X p X?? 6 First door Second door Third door of hours First door Third door First door Second door of 8 hours of 5 hours of 0 hours of 5 hours Bonus#: fter a terrible battle, it is found that of 00 soldiers, 70 have lost an eye, 75 an ear, 80 an arm, and 85 a leg. t least how many of the 00 soldiers have lost all four?

5 Bonus#: Conditional Expected Value: Sometimes it is easier to calculate E X by using conditional expected values. Suppose the random variable Y takes on the values,, or, and the random variable X takes on the values 4 or 5. Then here are the definitions of the conditional expected values of X: From these and the definition of conditional probability we can conclude that So we get that E X Y P Y E X Y P Y E X Y P Y 4P X 4 Y P X 4 Y P X 4 Y 5P X 5 Y P X 5 Y P X 5 Y 4 P X 4 5 Px 5 E X So the conditional expectation formula is E X EX Y PY EX Y PY EX Y PY. You may use this idea to solve the following problem: miner is trapped in a mine containing three doors. The first door leads to a tunnel that will take him to safety after hours of travel. The second door leads to a tunnel that will return him to the mine after 5 hours of travel. The third door leads to a tunnel that will return him to the mine after 7 hours. If we assume that the miner is always equally likely to select doors,, and, what is the expected length of time until he escapes from the mine? {Hint: Let X be the number of hours until the miner escapes. door door door door door door E X E X P E X P E X P P E X P E X P E X E X door 5 door 7 door 5 7 }

Use the Rational Zero Theorem to list all the possible rational zeros of the following polynomials. (1-2) 4 3 2

Use the Rational Zero Theorem to list all the possible rational zeros of the following polynomials. (1-2) 4 3 2 Name: Math 114 Activity 1(Due by EOC Apr. 17) Dear Instructor or Tutor, These problems are designed to let my students show me what they have learned and what they are capable of doing on their own. Please

More information

1. Frequency Distribution The total number of goals scored in a World Cup soccer match approximately follows the following distribution.

1. Frequency Distribution The total number of goals scored in a World Cup soccer match approximately follows the following distribution. STAT 345 Fall 2018 Homework 3 - Discrete Random Variables Name: Please adhere to the homework rules as given in the Syllabus. 1. Frequency Distribution The total number of goals scored in a World Cup soccer

More information

Find the following matrix products, if possible.(1-4)

Find the following matrix products, if possible.(1-4) Name: Math 1324 Activity 8(4.5)(Due by Oct. 13) Dear Instructor or Tutor, These problems are designed to let my students show me what they have learned and what they are capable of doing on their own.

More information

V. RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, EXPECTED VALUE

V. RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, EXPECTED VALUE V. RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, EXPECTED VALUE A game of chance featured at an amusement park is played as follows: You pay $ to play. A penny a nickel are flipped. You win $ if either

More information

University of California, Los Angeles Department of Statistics. Joint probability distributions

University of California, Los Angeles Department of Statistics. Joint probability distributions Universit of California, Los Angeles Department of Statistics Statistics 100A Instructor: Nicolas Christou Joint probabilit distributions So far we have considered onl distributions with one random variable.

More information

What does independence look like?

What does independence look like? What does independence look like? Independence S AB A Independence Definition 1: P (AB) =P (A)P (B) AB S = A S B S B Independence Definition 2: P (A B) =P (A) AB B = A S Independence? S A Independence

More information

Introduction to Probability, Fall 2013

Introduction to Probability, Fall 2013 Introduction to Probability, Fall 2013 Math 30530 Section 01 Homework 4 Solutions 1. Chapter 2, Problem 1 2. Chapter 2, Problem 2 3. Chapter 2, Problem 3 4. Chapter 2, Problem 5 5. Chapter 2, Problem 6

More information

Conditional Probability

Conditional Probability Conditional Probability Terminology: The probability of an event occurring, given that another event has already occurred. P A B = ( ) () P A B : The probability of A given B. Consider the following table:

More information

Week 04 Discussion. a) What is the probability that of those selected for the in-depth interview 4 liked the new flavor and 1 did not?

Week 04 Discussion. a) What is the probability that of those selected for the in-depth interview 4 liked the new flavor and 1 did not? STAT Wee Discussion Fall 7. A new flavor of toothpaste has been developed. It was tested by a group of people. Nine of the group said they lied the new flavor, and the remaining 6 indicated they did not.

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

The topics in this section concern with the first course objective.

The topics in this section concern with the first course objective. 1.1 Systems & Probability The topics in this section concern with the first course objective. A system is one of the most fundamental concepts and one of the most useful and powerful tools in STEM (science,

More information

What is a random variable

What is a random variable OKAN UNIVERSITY FACULTY OF ENGINEERING AND ARCHITECTURE MATH 256 Probability and Random Processes 04 Random Variables Fall 20 Yrd. Doç. Dr. Didem Kivanc Tureli didemk@ieee.org didem.kivanc@okan.edu.tr

More information

Discussion 03 Solutions

Discussion 03 Solutions STAT Discussion Solutions Spring 8. A new flavor of toothpaste has been developed. It was tested by a group of people. Nine of the group said they liked the new flavor, and the remaining indicated they

More information

Random Variables. Statistics 110. Summer Copyright c 2006 by Mark E. Irwin

Random Variables. Statistics 110. Summer Copyright c 2006 by Mark E. Irwin Random Variables Statistics 110 Summer 2006 Copyright c 2006 by Mark E. Irwin Random Variables A Random Variable (RV) is a response of a random phenomenon which is numeric. Examples: 1. Roll a die twice

More information

1 What is the area model for multiplication?

1 What is the area model for multiplication? for multiplication represents a lovely way to view the distribution property the real number exhibit. This property is the link between addition and multiplication. 1 1 What is the area model for multiplication?

More information

Edexcel past paper questions

Edexcel past paper questions Edexcel past paper questions Statistics 1 Discrete Random Variables Past examination questions Discrete Random variables Page 1 Discrete random variables Discrete Random variables Page 2 Discrete Random

More information

MTH135/STA104: Probability

MTH135/STA104: Probability MTH5/STA4: Probability Homework # Due: Tuesday, Dec 6, 5 Prof Robert Wolpert Three subjects in a medical trial are given drug A After one week, those that do not respond favorably are switched to drug

More information

CSC Discrete Math I, Spring Discrete Probability

CSC Discrete Math I, Spring Discrete Probability CSC 125 - Discrete Math I, Spring 2017 Discrete Probability Probability of an Event Pierre-Simon Laplace s classical theory of probability: Definition of terms: An experiment is a procedure that yields

More information

1. Consider a random independent sample of size 712 from a distribution with the following pdf. c 1+x. f(x) =

1. Consider a random independent sample of size 712 from a distribution with the following pdf. c 1+x. f(x) = 1. Consider a random independent sample of size 712 from a distribution with the following pdf f(x) = c 1+x 0

More information

students all of the same gender. (Total 6 marks)

students all of the same gender. (Total 6 marks) January Exam Review: Math 11 IB HL 1. A team of five students is to be chosen at random to take part in a debate. The team is to be chosen from a group of eight medical students and three law students.

More information

Problems from Probability and Statistical Inference (9th ed.) by Hogg, Tanis and Zimmerman.

Problems from Probability and Statistical Inference (9th ed.) by Hogg, Tanis and Zimmerman. Math 224 Fall 2017 Homework 1 Drew Armstrong Problems from Probability and Statistical Inference (9th ed.) by Hogg, Tanis and Zimmerman. Section 1.1, Exercises 4,5,6,7,9,12. Solutions to Book Problems.

More information

MAT 271E Probability and Statistics

MAT 271E Probability and Statistics MAT 71E Probability and Statistics Spring 013 Instructor : Class Meets : Office Hours : Textbook : Supp. Text : İlker Bayram EEB 1103 ibayram@itu.edu.tr 13.30 1.30, Wednesday EEB 5303 10.00 1.00, Wednesday

More information

Solutionbank S1 Edexcel AS and A Level Modular Mathematics

Solutionbank S1 Edexcel AS and A Level Modular Mathematics Heinemann Solutionbank: Statistics S Page of Solutionbank S Exercise A, Question Write down whether or not each of the following is a discrete random variable. Give a reason for your answer. a The average

More information

The Central Limit Theorem

The Central Limit Theorem - The Central Limit Theorem Definition Sampling Distribution of the Mean the probability distribution of sample means, with all samples having the same sample size n. (In general, the sampling distribution

More information

Elementary Discrete Probability

Elementary Discrete Probability Elementary Discrete Probability MATH 472 Financial Mathematics J Robert Buchanan 2018 Objectives In this lesson we will learn: the terminology of elementary probability, elementary rules of probability,

More information

Introduction to Probability 2017/18 Supplementary Problems

Introduction to Probability 2017/18 Supplementary Problems Introduction to Probability 2017/18 Supplementary Problems Problem 1: Let A and B denote two events with P(A B) 0. Show that P(A) 0 and P(B) 0. A A B implies P(A) P(A B) 0, hence P(A) 0. Similarly B A

More information

3 Conditional Expectation

3 Conditional Expectation 3 Conditional Expectation 3.1 The Discrete case Recall that for any two events E and F, the conditional probability of E given F is defined, whenever P (F ) > 0, by P (E F ) P (E)P (F ). P (F ) Example.

More information

14 - PROBABILITY Page 1 ( Answers at the end of all questions )

14 - PROBABILITY Page 1 ( Answers at the end of all questions ) - PROBABILITY Page ( ) Three houses are available in a locality. Three persons apply for the houses. Each applies for one house without consulting others. The probability that all the three apply for the

More information

6.041/6.431 Spring 2009 Quiz 1 Wednesday, March 11, 7:30-9:30 PM. SOLUTIONS

6.041/6.431 Spring 2009 Quiz 1 Wednesday, March 11, 7:30-9:30 PM. SOLUTIONS 6.0/6.3 Spring 009 Quiz Wednesday, March, 7:30-9:30 PM. SOLUTIONS Name: Recitation Instructor: Question Part Score Out of 0 all 0 a 5 b c 5 d 5 e 5 f 5 3 a b c d 5 e 5 f 5 g 5 h 5 Total 00 Write your solutions

More information

Prelim 1 (10 8)!8! = 10 9 = 45. (b) How many ways can it be done if the first three questions are required? 2 = 21

Prelim 1 (10 8)!8! = 10 9 = 45. (b) How many ways can it be done if the first three questions are required? 2 = 21 Math 1105 Fall 010 J.T. Gene Hwang, Instructor Robyn Miller, T.A. Prelim 1 Instructions This is a closed book exam. Graphing calculators are not permitted. Solutions should be written in your blue book

More information

COS 341: Discrete Mathematics

COS 341: Discrete Mathematics COS 341: Discrete Mathematics Final Exam Fall 2006 Print your name General directions: This exam is due on Monday, January 22 at 4:30pm. Late exams will not be accepted. Exams must be submitted in hard

More information

Lecture 10. Variance and standard deviation

Lecture 10. Variance and standard deviation 18.440: Lecture 10 Variance and standard deviation Scott Sheffield MIT 1 Outline Defining variance Examples Properties Decomposition trick 2 Outline Defining variance Examples Properties Decomposition

More information

PRACTICE PROBLEMS FOR EXAM 2

PRACTICE PROBLEMS FOR EXAM 2 PRACTICE PROBLEMS FOR EXAM 2 Math 3160Q Fall 2015 Professor Hohn Below is a list of practice questions for Exam 2. Any quiz, homework, or example problem has a chance of being on the exam. For more practice,

More information

*Karle Laska s Sections: There is no class tomorrow and Friday! Have a good weekend! Scores will be posted in Compass early Friday morning

*Karle Laska s Sections: There is no class tomorrow and Friday! Have a good weekend! Scores will be posted in Compass early Friday morning STATISTICS 100 EXAM 3 Spring 2016 PRINT NAME (Last name) (First name) *NETID CIRCLE SECTION: Laska MWF L1 Laska Tues/Thurs L2 Robin Tu Write answers in appropriate blanks. When no blanks are provided CIRCLE

More information

Probability. VCE Maths Methods - Unit 2 - Probability

Probability. VCE Maths Methods - Unit 2 - Probability Probability Probability Tree diagrams La ice diagrams Venn diagrams Karnough maps Probability tables Union & intersection rules Conditional probability Markov chains 1 Probability Probability is the mathematics

More information

Math 365 Final Exam Review Sheet. The final exam is Wednesday March 18 from 10am - 12 noon in MNB 110.

Math 365 Final Exam Review Sheet. The final exam is Wednesday March 18 from 10am - 12 noon in MNB 110. Math 365 Final Exam Review Sheet The final exam is Wednesday March 18 from 10am - 12 noon in MNB 110. The final is comprehensive and will cover Chapters 1, 2, 3, 4.1, 4.2, 5.2, and 5.3. You may use your

More information

MATH 3C: MIDTERM 1 REVIEW. 1. Counting

MATH 3C: MIDTERM 1 REVIEW. 1. Counting MATH 3C: MIDTERM REVIEW JOE HUGHES. Counting. Imagine that a sports betting pool is run in the following way: there are 20 teams, 2 weeks, and each week you pick a team to win. However, you can t pick

More information

Computations - Show all your work. (30 pts)

Computations - Show all your work. (30 pts) Math 1012 Final Name: Computations - Show all your work. (30 pts) 1. Fractions. a. 1 7 + 1 5 b. 12 5 5 9 c. 6 8 2 16 d. 1 6 + 2 5 + 3 4 2.a Powers of ten. i. 10 3 10 2 ii. 10 2 10 6 iii. 10 0 iv. (10 5

More information

MTH135/STA104: Probability

MTH135/STA104: Probability MTH35/STA04: Probability Homework # 3 Due: Tuesday, Sep 0, 005 Prof. Robert Wolpert. from prob 7 p. 9 You roll a fair, six-sided die and I roll a die. You win if the number showing on your die is strictly

More information

Grades 7 & 8, Math Circles 24/25/26 October, Probability

Grades 7 & 8, Math Circles 24/25/26 October, Probability Faculty of Mathematics Waterloo, Ontario NL 3G1 Centre for Education in Mathematics and Computing Grades 7 & 8, Math Circles 4/5/6 October, 017 Probability Introduction Probability is a measure of how

More information

Exercises in Probability Theory Paul Jung MA 485/585-1C Fall 2015 based on material of Nikolai Chernov

Exercises in Probability Theory Paul Jung MA 485/585-1C Fall 2015 based on material of Nikolai Chernov Exercises in Probability Theory Paul Jung MA 485/585-1C Fall 2015 based on material of Nikolai Chernov Many of the exercises are taken from two books: R. Durrett, The Essentials of Probability, Duxbury

More information

University of California, Los Angeles Department of Statistics. Exam 1 21 October 2011

University of California, Los Angeles Department of Statistics. Exam 1 21 October 2011 University of California, Los Angeles Department of Statistics Statistics 00A Instructor: Nicolas Christou Exam 2 October 20 Name: Problem (20 points) a. Let X follow the Poisson distribution with parameter

More information

Machine Learning: Homework Assignment 2 Solutions

Machine Learning: Homework Assignment 2 Solutions 10-601 Machine Learning: Homework Assignment 2 Solutions Professor Tom Mitchell Carnegie Mellon University January 21, 2009 The assignment is due at 1:30pm (beginning of class) on Monday, February 2, 2009.

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

Chapter 18. Sampling Distribution Models /51

Chapter 18. Sampling Distribution Models /51 Chapter 18 Sampling Distribution Models 1 /51 Homework p432 2, 4, 6, 8, 10, 16, 17, 20, 30, 36, 41 2 /51 3 /51 Objective Students calculate values of central 4 /51 The Central Limit Theorem for Sample

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

Monty Hall Puzzle. Draw a tree diagram of possible choices (a possibility tree ) One for each strategy switch or no-switch

Monty Hall Puzzle. Draw a tree diagram of possible choices (a possibility tree ) One for each strategy switch or no-switch Monty Hall Puzzle Example: You are asked to select one of the three doors to open. There is a large prize behind one of the doors and if you select that door, you win the prize. After you select a door,

More information

STAT 430/510 Probability Lecture 7: Random Variable and Expectation

STAT 430/510 Probability Lecture 7: Random Variable and Expectation STAT 430/510 Probability Lecture 7: Random Variable and Expectation Pengyuan (Penelope) Wang June 2, 2011 Review Properties of Probability Conditional Probability The Law of Total Probability Bayes Formula

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

Class 26: review for final exam 18.05, Spring 2014

Class 26: review for final exam 18.05, Spring 2014 Probability Class 26: review for final eam 8.05, Spring 204 Counting Sets Inclusion-eclusion principle Rule of product (multiplication rule) Permutation and combinations Basics Outcome, sample space, event

More information

Statistics 1L03 - Midterm #2 Review

Statistics 1L03 - Midterm #2 Review Statistics 1L03 - Midterm # Review Atinder Bharaj Made with L A TEX October, 01 Introduction As many of you will soon find out, I will not be holding the next midterm review. To make it a bit easier on

More information

Probability & Statistics - FALL 2008 FINAL EXAM

Probability & Statistics - FALL 2008 FINAL EXAM 550.3 Probability & Statistics - FALL 008 FINAL EXAM NAME. An urn contains white marbles and 8 red marbles. A marble is drawn at random from the urn 00 times with replacement. Which of the following is

More information

The set of all outcomes or sample points is called the SAMPLE SPACE of the experiment.

The set of all outcomes or sample points is called the SAMPLE SPACE of the experiment. Chapter 7 Probability 7.1 xperiments, Sample Spaces and vents Start with some definitions we will need in our study of probability. An XPRIMN is an activity with an observable result. ossing coins, rolling

More information

Math 493 Final Exam December 01

Math 493 Final Exam December 01 Math 493 Final Exam December 01 NAME: ID NUMBER: Return your blue book to my office or the Math Department office by Noon on Tuesday 11 th. On all parts after the first show enough work in your exam booklet

More information

Introductory Probability

Introductory Probability Introductory Probability Bernoulli Trials and Binomial Probability Distributions Dr. Nguyen nicholas.nguyen@uky.edu Department of Mathematics UK February 04, 2019 Agenda Bernoulli Trials and Probability

More information

List the elementary outcomes in each of the following events: EF, E F, F G, EF c, EF G. For this problem, would you care whether the dice are fair?

List the elementary outcomes in each of the following events: EF, E F, F G, EF c, EF G. For this problem, would you care whether the dice are fair? August 23, 2013 Homework 1. Probability Theory: Homework problems 1. A traditional three-digit telephone area code is constructed as follows. The first digit is from the set 2, 3, 4, 5, 6, 7, 8, 9}, the

More information

Homework 4 solutions

Homework 4 solutions Homework 4 solutions Due Thu, Sept 25, 2003 Problem 2 p.104 Certainly for i < 7 we know that this conditional probability must be zero (there aren t any negative numbers on the dice). i = 7 The first die

More information

College Algebra: Midterm Review

College Algebra: Midterm Review College Algebra: A Missive from the Math Department Learning College Algebra takes effort on your part as the student. Here are some hints for studying that you may find useful. Work Problems If you do,

More information

Probability Experiments, Trials, Outcomes, Sample Spaces Example 1 Example 2

Probability Experiments, Trials, Outcomes, Sample Spaces Example 1 Example 2 Probability 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. However, probability models underlie

More information

Math SL Day 66 Probability Practice [196 marks]

Math SL Day 66 Probability Practice [196 marks] Math SL Day 66 Probability Practice [96 marks] Events A and B are independent with P(A B) = 0.2 and P(A B) = 0.6. a. Find P(B). valid interpretation (may be seen on a Venn diagram) P(A B) + P(A B), 0.2

More information

Homework 4 Solution, due July 23

Homework 4 Solution, due July 23 Homework 4 Solution, due July 23 Random Variables Problem 1. Let X be the random number on a die: from 1 to. (i) What is the distribution of X? (ii) Calculate EX. (iii) Calculate EX 2. (iv) Calculate Var

More information

Probability and the Second Law of Thermodynamics

Probability and the Second Law of Thermodynamics Probability and the Second Law of Thermodynamics Stephen R. Addison January 24, 200 Introduction Over the next several class periods we will be reviewing the basic results of probability and relating probability

More information

Problems and results for the ninth week Mathematics A3 for Civil Engineering students

Problems and results for the ninth week Mathematics A3 for Civil Engineering students Problems and results for the ninth week Mathematics A3 for Civil Engineering students. Production line I of a factor works 0% of time, while production line II works 70% of time, independentl of each other.

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

Weather Overnight. Income (I) Running total

Weather Overnight. Income (I) Running total GAME TABLE :Team Day Inshore Offshore Overnight Income (I) Costs (C) Profit (I-C) Running total 2 6 7 8 9 0 GAME TABLE :Team 2 Day Inshore Offshore Overnight Income (I) Costs (C) Profit (I-C) Running total

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

1. Solve the following system of equations. 5x + y = 2z 13 3x + 3z = y 4y 2z = 2x + 12

1. Solve the following system of equations. 5x + y = 2z 13 3x + 3z = y 4y 2z = 2x + 12 Math 166 Final Exam Review Note: This review does not cover every concept that could be tested on a final. Please also take a look at previous Week in Reviews for more practice problems. Every instructor

More information

Discrete Mathematics and Probability Theory Summer 2014 James Cook Final Exam

Discrete Mathematics and Probability Theory Summer 2014 James Cook Final Exam CS 70 Discrete Mathematics and Probability Theory Summer 2014 James Cook Final Exam Friday August 15, 2014, 5:10pm-8:10pm. Instructions: Do not turn over this page until the proctor tells you to. Don t

More information

The Geometric Distribution

The Geometric Distribution MATH 382 The Geometric Distribution Dr. Neal, WKU Suppose we have a fixed probability p of having a success on any single attempt, where p > 0. We continue to make independent attempts until we succeed.

More information

Intermediate Math Circles November 8, 2017 Probability II

Intermediate Math Circles November 8, 2017 Probability II Intersection of Events and Independence Consider two groups of pairs of events Intermediate Math Circles November 8, 017 Probability II Group 1 (Dependent Events) A = {a sales associate has training} B

More information

Course: ESO-209 Home Work: 1 Instructor: Debasis Kundu

Course: ESO-209 Home Work: 1 Instructor: Debasis Kundu Home Work: 1 1. Describe the sample space when a coin is tossed (a) once, (b) three times, (c) n times, (d) an infinite number of times. 2. A coin is tossed until for the first time the same result appear

More information

Random Variables Chris Piech CS109, Stanford University. Piech, CS106A, Stanford University

Random Variables Chris Piech CS109, Stanford University. Piech, CS106A, Stanford University Random Variables Chris Piech CS109, Stanford University Piech, CS106A, Stanford University Piech, CS106A, Stanford University Let s Play a Game Game set-up We have a fair coin (come up heads with p = 0.5)

More information

STAT 345 Spring 2018 Homework 4 - Discrete Probability Distributions

STAT 345 Spring 2018 Homework 4 - Discrete Probability Distributions STAT 345 Spring 2018 Homework 4 - Discrete Probability Distributions Name: Please adhere to the homework rules as given in the Syllabus. 1. Coin Flipping. Timothy and Jimothy are playing a betting game.

More information

CSCI Homework Set 1 Due: September 11, 2018 at the beginning of class

CSCI Homework Set 1 Due: September 11, 2018 at the beginning of class CSCI 3310 - Homework Set 1 Due: September 11, 2018 at the beginning of class ANSWERS Please write your name and student ID number clearly at the top of your homework. If you have multiple pages, please

More information

Geometric Distribution The characteristics of a geometric experiment are: 1. There are one or more Bernoulli trials with all failures except the last

Geometric Distribution The characteristics of a geometric experiment are: 1. There are one or more Bernoulli trials with all failures except the last Geometric Distribution The characteristics of a geometric experiment are: 1. There are one or more Bernoulli trials with all failures except the last one, which is a success. In other words, you keep repeating

More information

MAT 271E Probability and Statistics

MAT 271E Probability and Statistics MAT 271E Probability and Statistics Spring 2011 Instructor : Class Meets : Office Hours : Textbook : Supp. Text : İlker Bayram EEB 1103 ibayram@itu.edu.tr 13.30 16.30, Wednesday EEB? 10.00 12.00, Wednesday

More information

Discrete Mathematics for CS Spring 2006 Vazirani Lecture 22

Discrete Mathematics for CS Spring 2006 Vazirani Lecture 22 CS 70 Discrete Mathematics for CS Spring 2006 Vazirani Lecture 22 Random Variables and Expectation Question: The homeworks of 20 students are collected in, randomly shuffled and returned to the students.

More information

Notes on probability : Exercise problems, sections (1-7)

Notes on probability : Exercise problems, sections (1-7) Notes on probability : Exercise problems, sections (1-7) 1 Random variables 1.1 A coin is tossed until for the first time the same result appears twice in succession. To every possible outcome requiring

More information

Chapter 8: An Introduction to Probability and Statistics

Chapter 8: An Introduction to Probability and Statistics Course S3, 200 07 Chapter 8: An Introduction to Probability and Statistics This material is covered in the book: Erwin Kreyszig, Advanced Engineering Mathematics (9th edition) Chapter 24 (not including

More information

Exam III #1 Solutions

Exam III #1 Solutions Department of Mathematics University of Notre Dame Math 10120 Finite Math Fall 2017 Name: Instructors: Basit & Migliore Exam III #1 Solutions November 14, 2017 This exam is in two parts on 11 pages and

More information

Probability Theory: Homework problems

Probability Theory: Homework problems June 22, 2018 Homework 1. Probability Theory: Homework problems 1. A traditional three-digit telephone area code is constructed as follows. The first digit is from the set {2, 3, 4, 5, 6, 7, 8, 9}, the

More information

STAT 430/510 Probability Lecture 16, 17: Compute by Conditioning

STAT 430/510 Probability Lecture 16, 17: Compute by Conditioning STAT 430/510 Probability Lecture 16, 17: Compute by Conditioning Pengyuan (Penelope) Wang Lecture 16-17 June 21, 2011 Computing Probability by Conditioning A is an arbitrary event If Y is a discrete random

More information

STAT/MA 416 Answers Homework 4 September 27, 2007 Solutions by Mark Daniel Ward PROBLEMS

STAT/MA 416 Answers Homework 4 September 27, 2007 Solutions by Mark Daniel Ward PROBLEMS STAT/MA 416 Answers Homework 4 September 27, 2007 Solutions by Mark Daniel Ward PROBLEMS 2. We ust examine the 36 possible products of two dice. We see that 1/36 for i = 1, 9, 16, 25, 36 2/36 for i = 2,

More information

For a list of topics, look over the previous review sheets. Since the last quiz we have... Benford s Law. When does it appear? How do people use it?

For a list of topics, look over the previous review sheets. Since the last quiz we have... Benford s Law. When does it appear? How do people use it? Here are a whole lot of problems! I will keep browsing good sources of problems and posting them here until the last day of class. As always, Grinstead and Snell, Ross and problems from previous courses

More information

What is the probability of getting a heads when flipping a coin

What is the probability of getting a heads when flipping a coin Chapter 2 Probability Probability theory is a branch of mathematics dealing with chance phenomena. The origins of the subject date back to the Italian mathematician Cardano about 1550, and French mathematicians

More information

Math 426: Probability MWF 1pm, Gasson 310 Exam 3 SOLUTIONS

Math 426: Probability MWF 1pm, Gasson 310 Exam 3 SOLUTIONS Name: ANSWE KEY Math 46: Probability MWF pm, Gasson Exam SOLUTIONS Problem Points Score 4 5 6 BONUS Total 6 Please write neatly. You may leave answers below unsimplified. Have fun and write your name above!

More information

Example. If 4 tickets are drawn with replacement from ,

Example. If 4 tickets are drawn with replacement from , Example. If 4 tickets are drawn with replacement from 1 2 2 4 6, what are the chances that we observe exactly two 2 s? Exactly two 2 s in a sequence of four draws can occur in many ways. For example, (

More information

University of Houston High School Math Contest 2014 Algebra II Test

University of Houston High School Math Contest 2014 Algebra II Test University of Houston High School Math Contest 04 Algebra II Test 4 log (x ), what is the sum of all integers that x 8x + are in the domain of this function?. For the function f ( x ) = A. 7 B. 50 C. 44

More information

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 5 Spring 2006

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 5 Spring 2006 Review problems UC Berkeley Department of Electrical Engineering and Computer Science EE 6: Probablity and Random Processes Solutions 5 Spring 006 Problem 5. On any given day your golf score is any integer

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

MATH 56A SPRING 2008 STOCHASTIC PROCESSES

MATH 56A SPRING 2008 STOCHASTIC PROCESSES MATH 56A SPRING 008 STOCHASTIC PROCESSES KIYOSHI IGUSA Contents 4. Optimal Stopping Time 95 4.1. Definitions 95 4.. The basic problem 95 4.3. Solutions to basic problem 97 4.4. Cost functions 101 4.5.

More information

Problems for 2.6 and 2.7

Problems for 2.6 and 2.7 UC Berkeley Department of Electrical Engineering and Computer Science EE 6: Probability and Random Processes Practice Problems for Midterm: SOLUTION # Fall 7 Issued: Thurs, September 7, 7 Solutions: Posted

More information

Math 447. Introduction to Probability and Statistics I. Fall 1998.

Math 447. Introduction to Probability and Statistics I. Fall 1998. Math 447. Introduction to Probability and Statistics I. Fall 1998. Schedule: M. W. F.: 08:00-09:30 am. SW 323 Textbook: Introduction to Mathematical Statistics by R. V. Hogg and A. T. Craig, 1995, Fifth

More information

Discrete Mathematics and Probability Theory Summer 2015 Chung-Wei Lin Midterm 2

Discrete Mathematics and Probability Theory Summer 2015 Chung-Wei Lin Midterm 2 CS 70 Discrete Mathematics and Probability Theory Summer 201 Chung-Wei Lin Midterm 2 PRINT Your Name:, (last (first SIGN Your Name: PRINT Your Student ID: CIRCLE Your Exam Room: 200 VLSB 10 EVANS OTHER

More information

MAT 271E Probability and Statistics

MAT 271E Probability and Statistics MAT 7E Probability and Statistics Spring 6 Instructor : Class Meets : Office Hours : Textbook : İlker Bayram EEB 3 ibayram@itu.edu.tr 3.3 6.3, Wednesday EEB 6.., Monday D. B. Bertsekas, J. N. Tsitsiklis,

More information

2. Variance and Covariance: We will now derive some classic properties of variance and covariance. Assume real-valued random variables X and Y.

2. Variance and Covariance: We will now derive some classic properties of variance and covariance. Assume real-valued random variables X and Y. CS450 Final Review Problems Fall 08 Solutions or worked answers provided Problems -6 are based on the midterm review Identical problems are marked recap] Please consult previous recitations and textbook

More information

(b). What is an expression for the exact value of P(X = 4)? 2. (a). Suppose that the moment generating function for X is M (t) = 2et +1 3

(b). What is an expression for the exact value of P(X = 4)? 2. (a). Suppose that the moment generating function for X is M (t) = 2et +1 3 Math 511 Exam #2 Show All Work 1. A package of 200 seeds contains 40 that are defective and will not grow (the rest are fine). Suppose that you choose a sample of 10 seeds from the box without replacement.

More information

Final Exam. Math Su10. by Prof. Michael Cap Khoury

Final Exam. Math Su10. by Prof. Michael Cap Khoury Final Exam Math 45-0 Su0 by Prof. Michael Cap Khoury Name: Directions: Please print your name legibly in the box above. You have 0 minutes to complete this exam. You may use any type of conventional calculator,

More information

All numbered readings are from Beck and Geoghegan s The art of proof.

All numbered readings are from Beck and Geoghegan s The art of proof. MATH 301. Assigned readings and homework All numbered readings are from Beck and Geoghegan s The art of proof. Reading Jan 30, Feb 1: Chapters 1.1 1.2 Feb 6, 8: Chapters 1.3 2.1 Feb 13, 15: Chapters 2.2

More information

Loiederman Middle School. Summer Math Packet C2.0 Algebra

Loiederman Middle School. Summer Math Packet C2.0 Algebra Loiederman Middle School Summer Math Packet C2.0 Algebra Dear Student and Parent, The purpose of this packet is to provide a review of objectives that were taught the previous school year and provide tasks

More information