Stat Summer 2012 Exam 1. Your Name:

Size: px
Start display at page:

Download "Stat Summer 2012 Exam 1. Your Name:"

Transcription

1 Stat Summer 2012 Exam 1 Your Name: Your Section (circle one): Sveinn (08:40) Glen (09:50) Mike (11:00) Instructions: Show your work on ALL questions. Unsupported work will NOT receive full credit. Decimal answers should be exact, or to exactly 2 decimal places. (Examples: if it is.25 use.25, if it is say then use.0089.) You are responsible for upholding the Honor Code of Purdue University. This includes protecting your work from other students. Please write legibly. If a grader cannot read your writing, NO credit will be given. You are allowed the following aids: a one-page 8.5" x 11" handwritten (in your handwriting) cheat sheet, a scientific calculator, and pencils or pens. Instructors will not interpret questions for you. If you do have questions, wait until you have looked over the whole exam so that you can ask all of your questions at one time. You must show your student ID (upon request), turn in your cheat sheet and sign the class roster when you turn in your exam to your instructor. Turn off your cell phone before the exam begins. Question Points Possible Points Earned Cheat Sheet 1 Total 100

2 1. 3% of basketball cards are Hall of Fame cards. For each of the following scenarios, write the correct distribution and its parameter(s). If an approximation can be used, write both the exact and the approximate distributions and parameters to receive full credit. (15 points, 3 points each) a) Glen is buying one basketball card at a time. Let X denote the number of cards he buys until getting the first Hall of Fame card. b) John buys, on average, two basketball cards every month. Let Y denote the number of basketball cards he buys in Assume the number of cards he buys are independent from month to month. c) Sveinn has 120 basketball cards. Let X denote the number of Hall of Fame cards he owns. d) Vivian wants to have 5 Hall of Fame cards. Let Y denote the number of cards she needs to buy until getting the 5th Hall of Fame card. e) Mike bought a box of 200 cards in which there are 6 Hall of Fame cards. He randomly pick up 3 of them without replacement. Let X denote the number of Hall of Fame cards in this sample.

3 2. A group of 15 people are going to Six Flags. 6 of them are Caucasian, 5 Asian, and 4 of another race. 4 people are randomly selected for the new attraction X-Flight. Let X denote the number of Asians picked. (18 points) a) Identify the distribution of X and its parameter(s). (4 points) b) What is the probability that 3 Asians are picked? (3 points) c) What is the probability that 2 Asians and 2 Caucasians are picked? (3 points) d) What is the probability that at least one Asian and at least one Caucasian are picked? (4 points) e) Suppose next year there will be 300 people from the College of Science attending Six Flags, in which 130 are Caucasian, 110 Asian, and 60 of another race. Again, they randomly pick 4 people to try another new attraction, Mr. Freeze. What is the approximate probability that 2 Asians will be picked? (4 points)

4 3. Consider the following probability mass function (PMF) of random variable X: p x = x+4 20, x = 2, 1, 0, 1, 2 0, otherwise (14 points) a) Find the probability that X is less than 0.5 (3 points) b) Find E[X] (3 points) c) Find Var[2X-5] (3 points) d) Find E[(3X 2) 2 ] (5 points)

5 4. A special roulette board has 40 spaces: 20 red, 17 black, and 3 green. During each spin a ball lands on one of the 40 spaces, with each space having equal probability. One round consists of 10 spins of the roulette wheel. You win a round if the ball lands on green at least twice. (13 points) a) What is the probability of winning a round? (3 points) b) What is the probability the first round you win comes on the 4 th round you play? (3 points) c) What is the probability the first round you win comes before the 8th round you play? (3 points) d) Given your 3 rd win came on the 7 th round you play, in which round is your expected 8 th win? (4 points)

6 5. (10 points) a) A library has 800,000 books and the librarian wants to encode each by using a code word consisting of 3 uppercase letters followed by two numbers. Are there enough code words to encode all of these books with different code words? (3 points) b) If we put five math, six biology, and eight history books together on a bookshelf. What is the probability all the math books are together? Assume every books is distinct. (3 points) c) Assume we now have a collection of five math, six biology, and eight history books, and we want to sample five of them without replacement. How many different collections are possible if at least 2 Math books must be selected? (4 points)

7 6. Suppose Lionel Messi plays in 90% of the games for the Argentina National Football team. If Messi plays, Argentina has 0.6 probability of winning, 0.25 probability of drawing the match, and some probability of losing the match. If Messi does not play, Argentina has 0.5 probability of losing, 0.2 probability of drawing, an some probability of winning. (13 points) a) Draw an appropriate tree diagram to illustrate this problem. (3 points) b) What is the probability that Argentina wins the match? (3 points) c) Knowing that Argentina wins or draws the match, what is the probability Messi plays? (4 points) d) Is "Argentina wins the match" independent from "Messi plays"? Explain your reason. (3 points)

8 7. Andreana is looking forward to the London 2012 Summer Olympics. During each of the 19 competition days, she intends to invite all of her 120 Facebook friends over to her house. On any given day, she expects each friend to show up with probability 0.04, and they show up independently of one another. Let X denote the number of friends that show up on any given day. (17 points) a) State the exact and approximate distributions of X along with the parameters. State why the approximation is valid. (4 points) b) What is the approximate probability that between 3 and 5 friends, inclusive, show up on any given day? (3 points) c) What is the exact probability that at least 3 friends show up on any given day? (4 points) d) What is the probability that there will be more than 16 days where at least 3 friends show up? (3 points) e) What is the expected number of days that at least 3 friends show up? (3 points)

Pan (7:30am) Juan (8:30am) Juan (9:30am) Allison (10:30am) Allison (11:30am) Mike L. (12:30pm) Mike C. (1:30pm) Grant (2:30pm)

Pan (7:30am) Juan (8:30am) Juan (9:30am) Allison (10:30am) Allison (11:30am) Mike L. (12:30pm) Mike C. (1:30pm) Grant (2:30pm) STAT 225 FALL 2012 EXAM ONE NAME Your Section (circle one): Pan (7:30am) Juan (8:30am) Juan (9:30am) Allison (10:30am) Allison (11:30am) Mike L. (12:30pm) Mike C. (1:30pm) Grant (2:30pm) Grant (3:30pm)

More information

STAT 225 Summer 2010 Exam 2 Solution

STAT 225 Summer 2010 Exam 2 Solution STAT 225 Summer 2010 Exam 2 Solution Your Name: Your Instructor: Your class time (circle one): 8:40 9:50 11:00 1:00 Show work for full credit unsupported work will NOT receive full credit All answers should

More information

Math 1070 Sample Exam 2

Math 1070 Sample Exam 2 University of Connecticut Department of Mathematics Math 1070 Sample Exam 2 Exam 2 will cover sections 4.6, 4.7, 5.2, 5.3, 5.4, 6.1, 6.2, 6.3, 6.4, F.1, F.2, F.3 and F.4. This sample exam is intended to

More information

Lesson 1: Chance Experiments

Lesson 1: Chance Experiments Student Outcomes Students understand that a probability is a number between and that represents the likelihood that an event will occur. Students interpret a probability as the proportion of the time that

More information

University of Connecticut Department of Mathematics

University of Connecticut Department of Mathematics University of Connecticut Department of Mathematics Math 1070 Sample Exam 2 Fall 2014 Name: Instructor Name: Section: Exam 2 will cover Sections 4.6-4.7, 5.3-5.4, 6.1-6.4, and F.1-F.3. This sample exam

More information

The Teachers Circle Mar. 20, 2012 HOW TO GAMBLE IF YOU MUST (I ll bet you $5 that if you give me $10, I ll give you $20.)

The Teachers Circle Mar. 20, 2012 HOW TO GAMBLE IF YOU MUST (I ll bet you $5 that if you give me $10, I ll give you $20.) The Teachers Circle Mar. 2, 22 HOW TO GAMBLE IF YOU MUST (I ll bet you $ that if you give me $, I ll give you $2.) Instructor: Paul Zeitz (zeitzp@usfca.edu) Basic Laws and Definitions of Probability If

More information

Math 1070 Sample Exam 1

Math 1070 Sample Exam 1 University of Connecticut Department of Mathematics Math 1070 Sample Exam 1 Exam 1 will cover sections 4.1-4.7 and 5.1-5.4. This sample exam is intended to be used as one of several resources to help you

More information

Homework 8 (for lectures on 10/14,10/16)

Homework 8 (for lectures on 10/14,10/16) Fall 2014 MTH122 Survey of Calculus and its Applications II Homework 8 (for lectures on 10/14,10/16) Yin Su 2014.10.16 Topics in this homework: Topic 1 Discrete random variables 1. Definition of random

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

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

Basic Probability & Statistics Exam 2 { Part I { Sections (Chapter 4, Chapter 5) March 19, 2009

Basic Probability & Statistics Exam 2 { Part I { Sections (Chapter 4, Chapter 5) March 19, 2009 NAME: INSTRUCTOR: Dr. Bathi Kasturiarachi Math 30011 Spring 2009 Basic Probability & Statistics Exam 2 { Part I { Sections (Chapter 4, Chapter 5) March 19, 2009 Read through the entire test before beginning.

More information

CSC/MTH 231 Discrete Structures II Spring, Homework 5

CSC/MTH 231 Discrete Structures II Spring, Homework 5 CSC/MTH 231 Discrete Structures II Spring, 2010 Homework 5 Name 1. A six sided die D (with sides numbered 1, 2, 3, 4, 5, 6) is thrown once. a. What is the probability that a 3 is thrown? b. What is the

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 Fall 2008 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 3.2 - Measures of Central Tendency

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 Fall 2008 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 3.2 - Measures of Central Tendency

More information

a) Getting 10 +/- 2 head in 20 tosses is the same probability as getting +/- heads in 320 tosses

a) Getting 10 +/- 2 head in 20 tosses is the same probability as getting +/- heads in 320 tosses Question 1 pertains to tossing a fair coin (8 pts.) Fill in the blanks with the correct numbers to make the 2 scenarios equally likely: a) Getting 10 +/- 2 head in 20 tosses is the same probability as

More information

Lenarz Math 102 Practice Exam # 3 Name: 1. A 10-sided die is rolled 100 times with the following results:

Lenarz Math 102 Practice Exam # 3 Name: 1. A 10-sided die is rolled 100 times with the following results: Lenarz Math 102 Practice Exam # 3 Name: 1. A 10-sided die is rolled 100 times with the following results: Outcome Frequency 1 8 2 8 3 12 4 7 5 15 8 7 8 8 13 9 9 10 12 (a) What is the experimental probability

More information

Something to Think About

Something to Think About Probability Facts Something to Think About Name Ohio Lottery information: one picks 6 numbers from the set {1,2,3,...49,50}. The state then randomly picks 6 numbers. If you match all 6, you win. The number

More information

University of Connecticut Department of Mathematics

University of Connecticut Department of Mathematics University of Connecticut Department of Mathematics Math 070Q Exam A Fall 07 Name: TA Name: Discussion: Read This First! This is a closed notes, closed book exam. You cannot receive aid on this exam from

More information

Ex 1: A coin is flipped. Heads, you win $1. Tails, you lose $1. What is the expected value of this game?

Ex 1: A coin is flipped. Heads, you win $1. Tails, you lose $1. What is the expected value of this game? AFM Unit 7 Day 5 Notes Expected Value and Fairness Name Date Expected Value: the weighted average of possible values of a random variable, with weights given by their respective theoretical probabilities.

More information

6. In how many different ways can you answer 10 multiple-choice questions if each question has five choices?

6. In how many different ways can you answer 10 multiple-choice questions if each question has five choices? Pre-Calculus Section 4.1 Multiplication, Addition, and Complement 1. Evaluate each of the following: a. 5! b. 6! c. 7! d. 0! 2. Evaluate each of the following: a. 10! b. 20! 9! 18! 3. In how many different

More information

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG

MATH 215 DISCRETE MATHEMATICS INSTRUCTOR: P. WENG MATH DISCRETE MATHEMATICS INSTRUCTOR: P. WENG Counting and Probability Suggested Problems Basic Counting Skills, Inclusion-Exclusion, and Complement. (a An office building contains 7 floors and has 7 offices

More information

Compound Events. Identify events as simple or compound.

Compound Events. Identify events as simple or compound. 11.1 Compound Events Lesson Objectives Understand compound events. Represent compound events. Vocabulary compound event possibility diagram simple event tree diagram Understand Compound Events. A compound

More information

Name Instructor: Uli Walther

Name Instructor: Uli Walther Name Instructor: Uli Walther Math 416 Fall 2016 Practice Exam Questions You are not allowed to use books or notes. Calculators are permitted. Full credit is given for complete correct solutions. Please

More information

There is no class tomorrow! Have a good weekend! Scores will be posted in Compass early Friday morning J

There is no class tomorrow! Have a good weekend! Scores will be posted in Compass early Friday morning J STATISTICS 100 EXAM 3 Fall 2016 PRINT NAME (Last name) (First name) *NETID CIRCLE SECTION: L1 12:30pm L2 3:30pm Online MWF 12pm Write answers in appropriate blanks. When no blanks are provided CIRCLE your

More information

Probability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37

Probability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37 Probability MAT230 Discrete Mathematics Fall 2018 MAT230 (Discrete Math) Probability Fall 2018 1 / 37 Outline 1 Discrete Probability 2 Sum and Product Rules for Probability 3 Expected Value MAT230 (Discrete

More information

1. A factory makes calculators. Over a long period, 2 % of them are found to be faulty. A random sample of 100 calculators is tested.

1. A factory makes calculators. Over a long period, 2 % of them are found to be faulty. A random sample of 100 calculators is tested. 1. A factory makes calculators. Over a long period, 2 % of them are found to be faulty. A random sample of 0 calculators is tested. Write down the expected number of faulty calculators in the sample. Find

More information

6. a) Determine the probability distribution. b) Determine the expected sum of two dice. c) Repeat parts a) and b) for the sum of

6. a) Determine the probability distribution. b) Determine the expected sum of two dice. c) Repeat parts a) and b) for the sum of d) generating a random number between 1 and 20 with a calculator e) guessing a person s age f) cutting a card from a well-shuffled deck g) rolling a number with two dice 3. Given the following probability

More information

2. To receive credit on any problem, you must show work that explains how you obtained your answer or you must explain how you obtained your answer.

2. To receive credit on any problem, you must show work that explains how you obtained your answer or you must explain how you obtained your answer. Math 50, Spring 2006 Test 2 PRINT your name on the back of the test. Circle your class: MW @ 11 TTh @ 2:30 Directions 1. Time limit: 50 minutes. 2. To receive credit on any problem, you must show work

More information

Midterm 2 6:00-8:00pm, 16 April

Midterm 2 6:00-8:00pm, 16 April CS70 2 Discrete Mathematics and Probability Theory, Spring 2009 Midterm 2 6:00-8:00pm, 16 April Notes: There are five questions on this midterm. Answer each question part in the space below it, using the

More information

Probability and Counting Techniques

Probability and Counting Techniques Probability and Counting Techniques Diana Pell (Multiplication Principle) Suppose that a task consists of t choices performed consecutively. Suppose that choice 1 can be performed in m 1 ways; for each

More information

Chapter 11: Probability and Counting Techniques

Chapter 11: Probability and Counting Techniques Chapter 11: Probability and Counting Techniques Diana Pell Section 11.3: Basic Concepts of Probability Definition 1. A sample space is a set of all possible outcomes of an experiment. Exercise 1. An experiment

More information

SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability

SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability Name Period Write all probabilities as fractions in reduced form! Use the given information to complete problems 1-3. Five students have the

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

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

6.041/6.431 Spring 2009 Quiz 1 Wednesday, March 11, 7:30-9:30 PM. 6.04/6.43 Spring 09 Quiz Wednesday, March, 7:30-9:30 PM. Name: Recitation Instructor: TA: Question Part Score Out of 0 3 all 40 2 a 5 b 5 c 6 d 6 3 a 5 b 6 c 6 d 6 e 6 f 6 g 0 6.04 Total 00 6.43 Total

More information

Independent Events B R Y

Independent Events B R Y . Independent Events Lesson Objectives Understand independent events. Use the multiplication rule and the addition rule of probability to solve problems with independent events. Vocabulary independent

More information

Probability --QUESTIONS-- Principles of Math 12 - Probability Practice Exam 1

Probability --QUESTIONS-- Principles of Math 12 - Probability Practice Exam 1 Probability --QUESTIONS-- Principles of Math - Probability Practice Exam www.math.com Principles of Math : Probability Practice Exam Use this sheet to record your answers:... 4... 4... 4.. 6. 4.. 6. 7..

More information

PROBABILITY. 1. Introduction. Candidates should able to:

PROBABILITY. 1. Introduction. Candidates should able to: PROBABILITY Candidates should able to: evaluate probabilities in simple cases by means of enumeration of equiprobable elementary events (e.g for the total score when two fair dice are thrown), or by calculation

More information

b) Find the exact probability of seeing both heads and tails in three tosses of a fair coin. (Theoretical Probability)

b) Find the exact probability of seeing both heads and tails in three tosses of a fair coin. (Theoretical Probability) Math 1351 Activity 2(Chapter 11)(Due by EOC Mar. 26) Group # 1. A fair coin is tossed three times, and we would like to know the probability of getting both a heads and tails to occur. Here are the results

More information

Raise your hand if you rode a bus within the past month. Record the number of raised hands.

Raise your hand if you rode a bus within the past month. Record the number of raised hands. 166 CHAPTER 3 PROBABILITY TOPICS Raise your hand if you rode a bus within the past month. Record the number of raised hands. Raise your hand if you answered "yes" to BOTH of the first two questions. Record

More information

STAT 430/510 Probability

STAT 430/510 Probability STAT 430/510 Probability Hui Nie Lecture 1 May 26th, 2009 Introduction Probability is the study of randomness and uncertainty. In the early days, probability was associated with games of chance, such as

More information

Topic : ADDITION OF PROBABILITIES (MUTUALLY EXCLUSIVE EVENTS) TIME : 4 X 45 minutes

Topic : ADDITION OF PROBABILITIES (MUTUALLY EXCLUSIVE EVENTS) TIME : 4 X 45 minutes Worksheet 6 th Topic : ADDITION OF PROBABILITIES (MUTUALLY EXCLUSIVE EVENTS) TIME : 4 X 45 minutes STANDARD COMPETENCY : 1. To use the statistics rules, the rules of counting, and the characteristic of

More information

Contemporary Mathematics Math 1030 Sample Exam I Chapters Time Limit: 90 Minutes No Scratch Paper Calculator Allowed: Scientific

Contemporary Mathematics Math 1030 Sample Exam I Chapters Time Limit: 90 Minutes No Scratch Paper Calculator Allowed: Scientific Contemporary Mathematics Math 1030 Sample Exam I Chapters 13-15 Time Limit: 90 Minutes No Scratch Paper Calculator Allowed: Scientific Name: The point value of each problem is in the left-hand margin.

More information

STAT 430/510 Probability Lecture 1: Counting-1

STAT 430/510 Probability Lecture 1: Counting-1 STAT 430/510 Probability Lecture 1: Counting-1 Pengyuan (Penelope) Wang May 22, 2011 Introduction In the early days, probability was associated with games of chance, such as gambling. Probability is describing

More information

1-1. Enrichment. Using a Reference Point

1-1. Enrichment. Using a Reference Point 1-1 Using a Reference Point There are many times when you need to make an estimate in relation to a reference point. For example, at the right there are prices listed for some school supplies. You might

More information

A collection of 9-1 Maths GCSE Sample and Specimen questions from AQA, OCR, Pearson-Edexcel and WJEC Eduqas. Name: Total Marks:

A collection of 9-1 Maths GCSE Sample and Specimen questions from AQA, OCR, Pearson-Edexcel and WJEC Eduqas. Name: Total Marks: Probability 2 (H) A collection of 9-1 Maths GCSE Sample and Specimen questions from AQA, OCR, Pearson-Edexcel and WJEC Eduqas. Name: Total Marks: 1. Andy sometimes gets a lift to and from college. When

More information

1. The masses, x grams, of the contents of 25 tins of Brand A anchovies are summarized by x =

1. The masses, x grams, of the contents of 25 tins of Brand A anchovies are summarized by x = P6.C1_C2.E1.Representation of Data and Probability 1. The masses, x grams, of the contents of 25 tins of Brand A anchovies are summarized by x = 1268.2 and x 2 = 64585.16. Find the mean and variance of

More information

ECEN 325 Spring 2019 Lab Policy

ECEN 325 Spring 2019 Lab Policy ECEN 325 Spring 2019 Lab Policy Section 200: Tuesday 5:30 PM - 8:20 PM (ZACH 333, Ruida) Section 502: Monday 3:00 PM 5:50 PM (ZACH 333, Tong) Section 503: Monday 6:00 PM - 8:50 PM (ZACH 333, Tong) Section

More information

S = {(1, 1), (1, 2),, (6, 6)}

S = {(1, 1), (1, 2),, (6, 6)} Part, MULTIPLE CHOICE, 5 Points Each An experiment consists of rolling a pair of dice and observing the uppermost faces. The sample space for this experiment consists of 6 outcomes listed as pairs of numbers:

More information

2 a. What is the total cost of a fidget. 1. Calculate the following: spinner costing 4.68 and a cricket ball. a costing 8.59?

2 a. What is the total cost of a fidget. 1. Calculate the following: spinner costing 4.68 and a cricket ball. a costing 8.59? Revision Pack REMOVE November 2017 This is the Upper summer pack to help you revise. NO CALCULATORS to be used unless π is needed or the question says to. 1. Calculate the following: a. 47 9 + 9 76 Name:

More information

EE 126 Fall 2006 Midterm #1 Thursday October 6, 7 8:30pm DO NOT TURN THIS PAGE OVER UNTIL YOU ARE TOLD TO DO SO

EE 126 Fall 2006 Midterm #1 Thursday October 6, 7 8:30pm DO NOT TURN THIS PAGE OVER UNTIL YOU ARE TOLD TO DO SO EE 16 Fall 006 Midterm #1 Thursday October 6, 7 8:30pm DO NOT TURN THIS PAGE OVER UNTIL YOU ARE TOLD TO DO SO You have 90 minutes to complete the quiz. Write your solutions in the exam booklet. We will

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

Name: Unit 7 Study Guide 1. Use the spinner to name the color that fits each of the following statements.

Name: Unit 7 Study Guide 1. Use the spinner to name the color that fits each of the following statements. 1. Use the spinner to name the color that fits each of the following statements. green blue white white blue a. The spinner will land on this color about as often as it lands on white. b. The chance of

More information

1) If P(E) is the probability that an event will occur, then which of the following is true? (1) 0 P(E) 1 (3) 0 P(E) 1 (2) 0 P(E) 1 (4) 0 P(E) 1

1) If P(E) is the probability that an event will occur, then which of the following is true? (1) 0 P(E) 1 (3) 0 P(E) 1 (2) 0 P(E) 1 (4) 0 P(E) 1 Algebra 2 Review for Unit 14 Test Name: 1) If P(E) is the probability that an event will occur, then which of the following is true? (1) 0 P(E) 1 (3) 0 P(E) 1 (2) 0 P(E) 1 (4) 0 P(E) 1 2) From a standard

More information

3.2 Measures of Central Tendency

3.2 Measures of Central Tendency Math 166 Lecture Notes - S. Nite 9/22/2012 Page 1 of 5 3.2 Measures of Central Tendency Mean The average, or mean, of the n numbers x = x 1 + x 2 +... + x n n x1,x2,...,xn is x (read x bar ), where Example

More information

1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building?

1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building? 1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building? 2. A particular brand of shirt comes in 12 colors, has a male version and a female version,

More information

Mini-Lecture 6.1 Discrete Random Variables

Mini-Lecture 6.1 Discrete Random Variables Mini-Lecture 6.1 Discrete Random Variables Objectives 1. Distinguish between discrete and continuous random variables 2. Identify discrete probability distributions 3. Construct probability histograms

More information

Midterm (Sample Version 3, with Solutions)

Midterm (Sample Version 3, with Solutions) Midterm (Sample Version 3, with Solutions) Math 425-201 Su10 by Prof. Michael Cap Khoury Directions: Name: Please print your name legibly in the box above. You have 110 minutes to complete this exam. You

More information

MTH 103 H Final Exam. 1. I study and I pass the course is an example of a. (a) conjunction (b) disjunction. (c) conditional (d) connective

MTH 103 H Final Exam. 1. I study and I pass the course is an example of a. (a) conjunction (b) disjunction. (c) conditional (d) connective MTH 103 H Final Exam Name: 1. I study and I pass the course is an example of a (a) conjunction (b) disjunction (c) conditional (d) connective 2. Which of the following is equivalent to (p q)? (a) p q (b)

More information

STATION 1: ROULETTE. Name of Guesser Tally of Wins Tally of Losses # of Wins #1 #2

STATION 1: ROULETTE. Name of Guesser Tally of Wins Tally of Losses # of Wins #1 #2 Casino Lab 2017 -- ICM The House Always Wins! Casinos rely on the laws of probability and expected values of random variables to guarantee them profits on a daily basis. Some individuals will walk away

More information

THE NORTH LONDON INDEPENDENT GIRLS SCHOOLS CONSORTIUM MATHEMATICS

THE NORTH LONDON INDEPENDENT GIRLS SCHOOLS CONSORTIUM MATHEMATICS THE NORTH LONDON INDEPENDENT GIRLS SCHOOLS CONSORTIUM Group 1 YEAR 7 ENTRANCE EXAMINATION MATHEMATICS Friday 18 January 2013 Time allowed: 1 hour 15 minutes First Name:... Surname:... Instructions: Please

More information

12.1 Practice A. Name Date. In Exercises 1 and 2, find the number of possible outcomes in the sample space. Then list the possible outcomes.

12.1 Practice A. Name Date. In Exercises 1 and 2, find the number of possible outcomes in the sample space. Then list the possible outcomes. Name Date 12.1 Practice A In Exercises 1 and 2, find the number of possible outcomes in the sample space. Then list the possible outcomes. 1. You flip three coins. 2. A clown has three purple balloons

More information

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events

CHAPTER 2 PROBABILITY. 2.1 Sample Space. 2.2 Events CHAPTER 2 PROBABILITY 2.1 Sample Space A probability model consists of the sample space and the way to assign probabilities. Sample space & sample point The sample space S, is the set of all possible outcomes

More information

5 th Grade MATH SUMMER PACKET ANSWERS Please attach ALL work

5 th Grade MATH SUMMER PACKET ANSWERS Please attach ALL work NAME: 5 th Grade MATH SUMMER PACKET ANSWERS Please attach ALL work DATE: 1.) 26.) 51.) 76.) 2.) 27.) 52.) 77.) 3.) 28.) 53.) 78.) 4.) 29.) 54.) 79.) 5.) 30.) 55.) 80.) 6.) 31.) 56.) 81.) 7.) 32.) 57.)

More information

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except on problems 1 & 2. Work neatly.

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except on problems 1 & 2. Work neatly. Introduction to Statistics Math 1040 Sample Exam II Chapters 5-7 4 Problem Pages 4 Formula/Table Pages Time Limit: 90 Minutes 1 No Scratch Paper Calculator Allowed: Scientific Name: The point value of

More information

smart board notes ch 6.notebook January 09, 2018

smart board notes ch 6.notebook January 09, 2018 Chapter 6 AP Stat Simulations: Imitation of chance behavior based on a model that accurately reflects a situation Cards, dice, random number generator/table, etc When Performing a Simulation: 1. State

More information

Exam #1. Good luck! Page 1 of 7

Exam #1. Good luck! Page 1 of 7 Exam # Total: 00 points Date: July, 008 Time: :00 :0 You have hour and 0 minutes to finish the exam. Please read the question carefully and assign your time smartly. Please PRINIT your name on each page

More information

CSE 312 Midterm Exam May 7, 2014

CSE 312 Midterm Exam May 7, 2014 Name: CSE 312 Midterm Exam May 7, 2014 Instructions: You have 50 minutes to complete the exam. Feel free to ask for clarification if something is unclear. Please do not turn the page until you are instructed

More information

Topics to be covered

Topics to be covered Basic Counting 1 Topics to be covered Sum rule, product rule, generalized product rule Permutations, combinations Binomial coefficients, combinatorial proof Inclusion-exclusion principle Pigeon Hole Principle

More information

Part 1: I can express probability as a fraction, decimal, and percent

Part 1: I can express probability as a fraction, decimal, and percent Name: Pattern: Part 1: I can express probability as a fraction, decimal, and percent For #1 to #4, state the probability of each outcome. Write each answer as a) a fraction b) a decimal c) a percent Example:

More information

Section : Combinations and Permutations

Section : Combinations and Permutations Section 11.1-11.2: Combinations and Permutations Diana Pell A construction crew has three members. A team of two must be chosen for a particular job. In how many ways can the team be chosen? How many words

More information

Problem F. Chessboard Coloring

Problem F. Chessboard Coloring Problem F Chessboard Coloring You have a chessboard with N rows and N columns. You want to color each of the cells with exactly N colors (colors are numbered from 0 to N 1). A coloring is valid if and

More information

Probability Review before Quiz. Unit 6 Day 6 Probability

Probability Review before Quiz. Unit 6 Day 6 Probability Probability Review before Quiz Unit 6 Day 6 Probability Warm-up: Day 6 1. A committee is to be formed consisting of 1 freshman, 1 sophomore, 2 juniors, and 2 seniors. How many ways can this committee be

More information

Probability and the Monty Hall Problem Rong Huang January 10, 2016

Probability and the Monty Hall Problem Rong Huang January 10, 2016 Probability and the Monty Hall Problem Rong Huang January 10, 2016 Warm-up: There is a sequence of number: 1, 2, 4, 8, 16, 32, 64, How does this sequence work? How do you get the next number from the previous

More information

Probability Essential Math 12 Mr. Morin

Probability Essential Math 12 Mr. Morin Probability Essential Math 12 Mr. Morin Name: Slot: Introduction Probability and Odds Single Event Probability and Odds Two and Multiple Event Experimental and Theoretical Probability Expected Value (Expected

More information

Chapter 11: Probability and Counting Techniques

Chapter 11: Probability and Counting Techniques Chapter 11: Probability and Counting Techniques Diana Pell Section 11.1: The Fundamental Counting Principle Exercise 1. How many different two-letter words (including nonsense words) can be formed when

More information

Name: Hoped-for Major:

Name: Hoped-for Major: Name: Hoped-for Major: Math 102: Math for Liberal Arts Sample Final Exam Read each question carefully, answer each question completely, and show all of your work. Write your solutions clearly and legibly;

More information

Chapter 4: Probability

Chapter 4: Probability Student Outcomes for this Chapter Section 4.1: Contingency Tables Students will be able to: Relate Venn diagrams and contingency tables Calculate percentages from a contingency table Calculate and empirical

More information

Here are two situations involving chance:

Here are two situations involving chance: Obstacle Courses 1. Introduction. Here are two situations involving chance: (i) Someone rolls a die three times. (People usually roll dice in pairs, so dice is more common than die, the singular form.)

More information

3 PROBABILITY TOPICS

3 PROBABILITY TOPICS Chapter 3 Probability Topics 35 3 PROBABILITY TOPICS Figure 3. Meteor showers are rare, but the probability of them occurring can be calculated. (credit: Navicore/flickr) Introduction It is often necessary

More information

Lesson 4: Calculating Probabilities for Chance Experiments with Equally Likely Outcomes

Lesson 4: Calculating Probabilities for Chance Experiments with Equally Likely Outcomes NYS COMMON CORE MAEMAICS CURRICULUM 7 : Calculating Probabilities for Chance Experiments with Equally Likely Classwork Examples: heoretical Probability In a previous lesson, you saw that to find an estimate

More information

Ovals and Diamonds and Squiggles, Oh My! (The Game of SET)

Ovals and Diamonds and Squiggles, Oh My! (The Game of SET) Ovals and Diamonds and Squiggles, Oh My! (The Game of SET) The Deck: A Set: Each card in deck has a picture with four attributes shape (diamond, oval, squiggle) number (one, two or three) color (purple,

More information

April 10, ex) Draw a tree diagram of this situation.

April 10, ex) Draw a tree diagram of this situation. April 10, 2014 12-1 Fundamental Counting Principle & Multiplying Probabilities 1. Outcome - the result of a single trial. 2. Sample Space - the set of all possible outcomes 3. Independent Events - when

More information

Finite Mathematical Structures A

Finite Mathematical Structures A AMS 301.2 (Spring, 2016) E. Arkin Finite Mathematical Structures A Exam 3: Monday, May 16, 2016 READ THESE INSTRUCTIONS CAREFULLY. Do not start the exam until told to do so. Make certain that you have

More information

Fundamental. If one event can occur m ways and another event can occur n ways, then the number of ways both events can occur is:.

Fundamental. If one event can occur m ways and another event can occur n ways, then the number of ways both events can occur is:. 12.1 The Fundamental Counting Principle and Permutations Objectives 1. Use the fundamental counting principle to count the number of ways an event can happen. 2. Use the permutations to count the number

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

COMPOUND EVENTS. Judo Math Inc.

COMPOUND EVENTS. Judo Math Inc. COMPOUND EVENTS Judo Math Inc. 7 th grade Statistics Discipline: Black Belt Training Order of Mastery: Compound Events 1. What are compound events? 2. Using organized Lists (7SP8) 3. Using tables (7SP8)

More information

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY

CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY Probability is the Probability is used in many real-world fields, such as insurance, medical research, law enforcement, and political science. Objectives:

More information

Lesson 4: Calculating Probabilities for Chance Experiments with Equally Likely Outcomes

Lesson 4: Calculating Probabilities for Chance Experiments with Equally Likely Outcomes Lesson : Calculating Probabilities for Chance Experiments with Equally Likely Outcomes Classwork Example : heoretical Probability In a previous lesson, you saw that to find an estimate of the probability

More information

Random Variables. A Random Variable is a rule that assigns a number to each outcome of an experiment.

Random Variables. A Random Variable is a rule that assigns a number to each outcome of an experiment. Random Variables When we perform an experiment, we are often interested in recording various pieces of numerical data for each trial. For example, when a patient visits the doctor s office, their height,

More information

Time. On the first day of Christmas. Memory. Notation

Time. On the first day of Christmas. Memory. Notation Hour Minute Second Duration Period Notation 24 hour OR 12 hour clock (am or pm or 12 midnight or 12 noon) On the first day of Time 1 year = 52 weeks = 365 days 1 week = 7 days 1 day = 24 hours 1 hour =

More information

Math 106 Lecture 3 Probability - Basic Terms Combinatorics and Probability - 1 Odds, Payoffs Rolling a die (virtually)

Math 106 Lecture 3 Probability - Basic Terms Combinatorics and Probability - 1 Odds, Payoffs Rolling a die (virtually) Math 106 Lecture 3 Probability - Basic Terms Combinatorics and Probability - 1 Odds, Payoffs Rolling a die (virtually) m j winter, 00 1 Description We roll a six-sided die and look to see whether the face

More information

Table Games Rules. MargaritavilleBossierCity.com FIN CITY GAMBLING PROBLEM? CALL

Table Games Rules. MargaritavilleBossierCity.com FIN CITY GAMBLING PROBLEM? CALL Table Games Rules MargaritavilleBossierCity.com 1 855 FIN CITY facebook.com/margaritavillebossiercity twitter.com/mville_bc GAMBLING PROBLEM? CALL 800-522-4700. Blackjack Hands down, Blackjack is the most

More information

ST NICHOLAS COLLEGE HALF YEARLY PRIMARY EXAMINATIONS. February YEAR 6 Mathematics (Written Paper) TIME: 1 h 15 min.

ST NICHOLAS COLLEGE HALF YEARLY PRIMARY EXAMINATIONS. February YEAR 6 Mathematics (Written Paper) TIME: 1 h 15 min. ST NICHOLAS COLLEGE HALF YEARLY PRIMARY EXAMINATIONS February 2014 YEAR 6 Mathematics (Written Paper) TIME: 1 h 15 min Name: Class: Total Mark 80 1. Write the value of 6 in each number: a) 6457 = b) 0.6

More information

UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet

UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet Name Period Date UNIT 5: RATIO, PROPORTION, AND PERCENT WEEK 20: Student Packet 20.1 Solving Proportions 1 Add, subtract, multiply, and divide rational numbers. Use rates and proportions to solve problems.

More information

Home Connection 27 Activity

Home Connection 27 Activity Blackline HC 27.1 Use after Unit 7, Session 3. NAME Home Connection 27 Activity RETURN BY NOTE TO FAMILIES This Home Connection activity will give your child an opportunity to measure and compare length

More information

A Probability Work Sheet

A Probability Work Sheet A Probability Work Sheet October 19, 2006 Introduction: Rolling a Die Suppose Geoff is given a fair six-sided die, which he rolls. What are the chances he rolls a six? In order to solve this problem, we

More information

Due Friday February 17th before noon in the TA drop box, basement, AP&M. HOMEWORK 3 : HAND IN ONLY QUESTIONS: 2, 4, 8, 11, 13, 15, 21, 24, 27

Due Friday February 17th before noon in the TA drop box, basement, AP&M. HOMEWORK 3 : HAND IN ONLY QUESTIONS: 2, 4, 8, 11, 13, 15, 21, 24, 27 Exercise Sheet 3 jacques@ucsd.edu Due Friday February 17th before noon in the TA drop box, basement, AP&M. HOMEWORK 3 : HAND IN ONLY QUESTIONS: 2, 4, 8, 11, 13, 15, 21, 24, 27 1. A six-sided die is tossed.

More information

Random Variables. Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5. (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) }

Random Variables. Outcome X (1, 1) 2 (2, 1) 3 (3, 1) 4 (4, 1) 5. (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6) } Random Variables When we perform an experiment, we are often interested in recording various pieces of numerical data for each trial. For example, when a patient visits the doctor s office, their height,

More information

Discrete Random Variables Day 1

Discrete Random Variables Day 1 Discrete Random Variables Day 1 What is a Random Variable? Every probability problem is equivalent to drawing something from a bag (perhaps more than once) Like Flipping a coin 3 times is equivalent to

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. Ch. 3 Probability 3.1 Basic Concepts of Probability and Counting 1 Find Probabilities 1) A coin is tossed. Find the probability that the result is heads. A) 0. B) 0.1 C) 0.9 D) 1 2) A single six-sided

More information