Instructor: A.E.Cary. Math 243 Exam 2

Size: px
Start display at page:

Download "Instructor: A.E.Cary. Math 243 Exam 2"

Transcription

1 Name: Instructor: A.E.Cary Instructions: Show all your work in a manner consistent with that demonstrated in class. Round your answers where appropriate. Use 3 decimal places when rounding answers. In most cases, your answer should be stated using a complete sentence. The entire exam is closed-note, closed-book. You may use your calculator and Excel throughout the entire exam. You may also use the formula sheet provided to you. Wherever you use Excel or your calculator, make sure that any calculations you do are clearly included in your work. 1. For each scenario, identify the type of sample used. Possible choices include: census, SRS, stratefied, systematic, cluster, multistage, voluntary, and convenience. If you answer multistage, list the multiple sample types. Not all of these will be used; it s possible that you could use one more than once. Scenario Sample Type An online poll asks participants what their favorite type of ice cream is. At the von Trapp family reunion, there are 114 attendees. They use a random number generator to select a sample of 10 to participate in a game of tug-of-war. There are 30 sections of MTH 243 at PCC this term. Eight sections are chosen at random and every student in those sections is surveyed. PCC randomly selects 100 male students and 100 female students to survey about their thoughts on the cafeteria food at PCC. 2. A household reviews their gas and electricity bills for 12 months from a given year. They notice that whenever their electricity bill is higher, their gas bill is also higher. If all 12 months support this statement, can they conclude that higher electric bills cause higher gas bills? Justify your answer. [8 points; 4 points]

2 3. Suppose the chance that it rains on a given day in July in Portland is 6%. Assume that day-to-day July weather is considered independent. (a) What s the probability that it does NOT rain for 5 days in a row in July? (b) What s the probability that it does NOT rain for 2 days and then rains on the third day over a 3-day period in July? (c) What s the probability that it rains at least once in a 4-day period in July? [4 points, 4 points, 4 points] Instructor: A.E.Cary Page 2 of 8

3 4. Record the sample space for each of the following. (a) Roll one die and toss one coin. Record the number on the die and whether the coin shows heads or tails. (b) Roll two dice. Record the sum of the numbers. 5. A jar contains 95 pieces of candy. There are 25 yellow candies, 32 pink candies, and 38 green candies. (a) You draw one piece of candy from the jar. What s the probability this it is green or yellow? (b) You draw three pieces of candy. What s the probability that NONE of them are yellow? Hint: Visualize drawing these one at at time! [2 points, 2 points; 4 points, 4 points] Instructor: A.E.Cary Page 3 of 8

4 6. In our MTH 243 class, assume that 85% like chocolate, 70% like popcorn, and 68% like both chocolate and popcorn. (a) Draw a Venn diagram representing this scenario. (b) What s the probability that a randomly selected student likes either chocolate or popcorn? (c) What s the probability that a randomly selected student likes chocolate given that they do NOT like popcorn? [4 points, 4 points, 4 points] Instructor: A.E.Cary Page 4 of 8

5 7. An ultrasound machine is used by a radiologist to predict the gender of a sample of babies. Of this sample, 52.5% are born male and 47.5% are born female. Of those born male, 88% were correctly predicted as male in the ultrasound. Of those born female, 84% were correctly predicted as female in the ultrasound. (a) Draw a tree diagram representing this scenario. (b) What s the probability that a baby was predicted to be female? (c) What s the probability that a baby is born female given that they were predicted to be female? [8 points, 2 points, 4 points] Instructor: A.E.Cary Page 5 of 8

6 8. An insurance policy will pay policyholders $20,000 if they suffer a major injury. It will pay $5000 if they suffer a minor injury. Assume that 3 in every 4000 policy holders will suffer a major injury and 3 in every 1000 policy holders will suffer a minor injury (a) Complete the probability model below representing the payout of a given policy. Outcome Payout Probability (b) What s the expected payout for a given policy? (c) What s the standard deviation for the payout of a given policy? [4 points, 4 points, 4 points] Instructor: A.E.Cary Page 6 of 8

7 9. Each year a company sends 2 officials to India and 1 official to Greece. Airline tickets vary year-toyear, but the mean price for one ticket to India is $1200 with a standard deviation of $400. The mean price for one ticket to Greece is $1800 with a standard deviation of $300. (a) Define the two random variables you will use in this problem. (b) Find the mean for the total cost of sending all three officials. (c) Find the standard deviation for the total cost of sending all three officials. [2 points, 4 points, 4 points] Instructor: A.E.Cary Page 7 of 8

8 10. A large computer retailer sells laptop and desktop computers. Of all the computers they sell, 60% are laptops and 40% are desktops. (a) From a sample of 8 customers buying computers, what s the probability that exactly 5 buy laptop computers? (b) Verify that you can use a Normal approximation model for a sample of 500 computers purchased. Then write down this Normal model, where the random variable is the number of laptops purchased. (In other words, specify µ and σ). (c) Out of a sample of 500 computers purchased, what s the probability that 320 or more computers are laptops? [8 points, 2 points, 6 points] Instructor: A.E.Cary Page 8 of 8

Instructor: A.E.Cary. Math 243 Final Exam

Instructor: A.E.Cary. Math 243 Final Exam Name: Instructor: A.E.Cary Instructions: Show all your work in a manner consistent with that demonstrated in class. Round your answers where appropriate. Use 3 decimal places when rounding answers. The

More information

Math 14 Lecture Notes Ch. 4.3

Math 14 Lecture Notes Ch. 4.3 4.3 The Binomial Distribution Example 1: The former Sacramento King's DeMarcus Cousins makes 77% of his free throws. If he shoots 3 times, what is the probability that he will make exactly 0, 1, 2, or

More information

FINAL REVIEW W/ANSWERS

FINAL REVIEW W/ANSWERS FINAL REVIEW W/ANSWERS ( 03/15/08 - Sharon Coates) Concepts to review before answering the questions: A population consists of the entire group of people or objects of interest to an investigator, while

More information

Part 1 In which we meet the law of averages. The Law of Averages. The Expected Value & The Standard Error. Where Are We Going?

Part 1 In which we meet the law of averages. The Law of Averages. The Expected Value & The Standard Error. Where Are We Going? 1 The Law of Averages The Expected Value & The Standard Error Where Are We Going? Sums of random numbers The law of averages Box models for generating random numbers Sums of draws: the Expected Value Standard

More information

Unit 04 Review. Probability Rules

Unit 04 Review. Probability Rules Unit 04 Review Probability Rules A sample space contains all the possible outcomes observed in a trial of an experiment, a survey, or some random phenomenon. The sum of the probabilities for all possible

More information

expl 1: Consider rolling two distinguishable, six-sided dice. Here is the sample space. Answer the questions that follow.

expl 1: Consider rolling two distinguishable, six-sided dice. Here is the sample space. Answer the questions that follow. General Education Statistics Class Notes Conditional Probability (Section 5.4) What is the probability you get a sum of 5 on two dice? Now assume one die is a 4. Does that affect the probability the sum

More information

What is the probability of success? Failure? How could we do this simulation using a random number table?

What is the probability of success? Failure? How could we do this simulation using a random number table? Probability Ch.4, sections 4.2 & 4.3 Binomial and Geometric Distributions Name: Date: Pd: 4.2. What is a binomial distribution? How do we find the probability of success? Suppose you have three daughters.

More information

Binomial Random Variable - The count X of successes in a binomial setting

Binomial Random Variable - The count X of successes in a binomial setting 6.3.1 Binomial Settings and Binomial Random Variables What do the following scenarios have in common? Toss a coin 5 times. Count the number of heads. Spin a roulette wheel 8 times. Record how many times

More information

Chapter 6: Random Variables. Ch. 6-3: Binomial and Geometric Random Variables

Chapter 6: Random Variables. Ch. 6-3: Binomial and Geometric Random Variables Chapter : Random Variables Ch. -3: Binomial and Geometric Random Variables X 0 2 3 4 5 7 8 9 0 0 P(X) 3???????? 4 4 When the same chance process is repeated several times, we are often interested in whether

More information

PROBABILITY AND STATISTICS, A16, TEST 1

PROBABILITY AND STATISTICS, A16, TEST 1 PROBABILITY AND STATISTICS, A16, TEST 1 Name: Student number (1) (1.5 marks) i) Let A and B be mutually exclusive events with p(a) = 0.7 and p(b) = 0.2. Determine p(a B ) and also p(a B). ii) Let C and

More information

MA 1125 Lecture 14 - Expected Values. Wednesday, October 4, Objectives: Introduce expected values.

MA 1125 Lecture 14 - Expected Values. Wednesday, October 4, Objectives: Introduce expected values. MA 5 Lecture 4 - Expected Values Wednesday, October 4, 27 Objectives: Introduce expected values.. Means, Variances, and Standard Deviations of Probability Distributions Two classes ago, we computed the

More information

Chapter 5. Discrete Probability Distributions. McGraw-Hill, Bluman, 7 th ed, Chapter 5 1

Chapter 5. Discrete Probability Distributions. McGraw-Hill, Bluman, 7 th ed, Chapter 5 1 Chapter 5 Discrete Probability Distributions McGraw-Hill, Bluman, 7 th ed, Chapter 5 1 Chapter 5 Overview Introduction 5-1 Probability Distributions 5-2 Mean, Variance, Standard Deviation, and Expectation

More information

Event p351 An event is an outcome or a set of outcomes of a random phenomenon. That is, an event is a subset of the sample space.

Event p351 An event is an outcome or a set of outcomes of a random phenomenon. That is, an event is a subset of the sample space. Chapter 12: From randomness to probability 350 Terminology Sample space p351 The sample space of a random phenomenon is the set of all possible outcomes. Example Toss a coin. Sample space: S = {H, T} Example:

More information

MATH 227 CP 6 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MATH 227 CP 6 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MATH 227 CP 6 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Identify the given random variable as being discrete or continuous. 1) The number of phone

More information

Ch 9 SB answers.notebook. May 06, 2014 WARM UP

Ch 9 SB answers.notebook. May 06, 2014 WARM UP WARM UP 1 9.1 TOPICS Factorial Review Counting Principle Permutations Distinguishable permutations Combinations 2 FACTORIAL REVIEW 3 Question... How many sandwiches can you make if you have 3 types of

More information

Section 8.1 Distributions of Random Variables

Section 8.1 Distributions of Random Variables Section 8.1 Distributions of Random Variables Random Variable A random variable is a rule that assigns a number to each outcome of a chance experiment. There are three types of random variables: 1. Finite

More information

VIDEO 1. A random variable is a quantity whose value depends on chance, for example, the outcome when a die is rolled.

VIDEO 1. A random variable is a quantity whose value depends on chance, for example, the outcome when a die is rolled. Part 1: Probability Distributions VIDEO 1 Name: 11-10 Probability and Binomial Distributions A random variable is a quantity whose value depends on chance, for example, the outcome when a die is rolled.

More information

Problem Set 07 Discrete Random Variables

Problem Set 07 Discrete Random Variables Name Problem Set 07 Discrete Random Variables MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the mean of the random variable. 1) The random

More information

Math 160 Professor Busken Chapter 5 Worksheets

Math 160 Professor Busken Chapter 5 Worksheets Math 160 Professor Busken Chapter 5 Worksheets Name: 1. Find the expected value. Suppose you play a Pick 4 Lotto where you pay 50 to select a sequence of four digits, such as 2118. If you select the same

More information

What do you think "Binomial" involves?

What do you think Binomial involves? Learning Goals: * Define a binomial experiment (Bernoulli Trials). * Applying the binomial formula to solve problems. * Determine the expected value of a Binomial Distribution What do you think "Binomial"

More information

Math 251, Test 2 Wednesday, May 19, 2004

Math 251, Test 2 Wednesday, May 19, 2004 Math 251, Test 2 Wednesday, May 19, 2004 Name: Hints and Answers Instructions. Complete each of the following 9 problems. Please show all appropriate details in your solutions. Good Luck. 1. (15 pts) (a)

More information

Math 14 Lecture Notes Ch Mean

Math 14 Lecture Notes Ch Mean 4. Mean, Expected Value, and Standard Deviation Mean Recall the formula from section. for find the population mean of a data set of elements µ = x 1 + x + x +!+ x = x i i=1 We can find the mean of the

More information

7.1: Sets. What is a set? What is the empty set? When are two sets equal? What is set builder notation? What is the universal set?

7.1: Sets. What is a set? What is the empty set? When are two sets equal? What is set builder notation? What is the universal set? 7.1: Sets What is a set? What is the empty set? When are two sets equal? What is set builder notation? What is the universal set? Example 1: Write the elements belonging to each set. a. {x x is a natural

More information

Exam II Math 1342 Capters 3-5 HCCS. Name

Exam II Math 1342 Capters 3-5 HCCS. Name Exam II Math 1342 Capters 3-5 HCCS Name Date Provide an appropriate response. 1) A single six-sided die is rolled. Find the probability of rolling a number less than 3. A) 0.5 B) 0.1 C) 0.25 D 0.333 1)

More information

Probability and Sample space

Probability and Sample space Probability and Sample space We call a phenomenon random if individual outcomes are uncertain but there is a regular distribution of outcomes in a large number of repetitions. The probability of any outcome

More information

Fall 2015 Math 141:505 Exam 3 Form A

Fall 2015 Math 141:505 Exam 3 Form A Fall 205 Math 4:505 Exam 3 Form A Last Name: First Name: Exam Seat #: UIN: On my honor, as an Aggie, I have neither given nor received unauthorized aid on this academic work Signature: INSTRUCTIONS Part

More information

Section 3.1 Distributions of Random Variables

Section 3.1 Distributions of Random Variables Section 3.1 Distributions of Random Variables Random Variable A random variable is a rule that assigns a number to each outcome of a chance experiment. There are three types of random variables: 1. Finite

More information

Section Distributions of Random Variables

Section Distributions of Random Variables Section 8.1 - Distributions of Random Variables Definition: A random variable is a rule that assigns a number to each outcome of an experiment. Example 1: Suppose we toss a coin three times. Then we could

More information

Math 1070 Final Exam Practice Spring 2014

Math 1070 Final Exam Practice Spring 2014 University of Connecticut Department of Mathematics Math 1070 Practice Spring 2014 Name: Instructor Name: Section: Read This First! This is a closed notes, closed book exam. You can not receive aid on

More information

Binomial Distributions

Binomial Distributions Binomial Distributions Binomial Experiment The experiment is repeated for a fixed number of trials, where each trial is independent of the other trials There are only two possible outcomes of interest

More information

12 Math Chapter Review April 16 th, Multiple Choice Identify the choice that best completes the statement or answers the question.

12 Math Chapter Review April 16 th, Multiple Choice Identify the choice that best completes the statement or answers the question. Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Which situation does not describe a discrete random variable? A The number of cell phones per household.

More information

Determine whether the given events are disjoint. 1) Drawing a face card from a deck of cards and drawing a deuce A) Yes B) No

Determine whether the given events are disjoint. 1) Drawing a face card from a deck of cards and drawing a deuce A) Yes B) No Assignment 8.-8.6 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Determine whether the given events are disjoint. 1) Drawing a face card from

More information

Section 8.4 The Binomial Distribution

Section 8.4 The Binomial Distribution Section 8.4 The Binomial Distribution Binomial Experiment A binomial experiment has the following properties: 1. The number of trials in the experiment is fixed. 2. There are two outcomes of each trial:

More information

Simple Random Sample

Simple Random Sample Simple Random Sample A simple random sample (SRS) of size n consists of n elements from the population chosen in such a way that every set of n elements has an equal chance to be the sample actually selected.

More information

Part 10: The Binomial Distribution

Part 10: The Binomial Distribution Part 10: The Binomial Distribution The binomial distribution is an important example of a probability distribution for a discrete random variable. It has wide ranging applications. One readily available

More information

CHAPTER 4 DISCRETE PROBABILITY DISTRIBUTIONS

CHAPTER 4 DISCRETE PROBABILITY DISTRIBUTIONS CHAPTER 4 DISCRETE PROBABILITY DISTRIBUTIONS A random variable is the description of the outcome of an experiment in words. The verbal description of a random variable tells you how to find or calculate

More information

AP Statistics Section 6.1 Day 1 Multiple Choice Practice. a) a random variable. b) a parameter. c) biased. d) a random sample. e) a statistic.

AP Statistics Section 6.1 Day 1 Multiple Choice Practice. a) a random variable. b) a parameter. c) biased. d) a random sample. e) a statistic. A Statistics Section 6.1 Day 1 ultiple Choice ractice Name: 1. A variable whose value is a numerical outcome of a random phenomenon is called a) a random variable. b) a parameter. c) biased. d) a random

More information

Random variables. Discrete random variables. Continuous random variables.

Random variables. Discrete random variables. Continuous random variables. Random variables Discrete random variables. Continuous random variables. Discrete random variables. Denote a discrete random variable with X: It is a variable that takes values with some probability. Examples:

More information

FACULTY OF SCIENCE DEPARTMENT OF STATISTICS

FACULTY OF SCIENCE DEPARTMENT OF STATISTICS FACULTY OF SCIENCE DEPARTMENT OF STATISTICS MODULE ATE1A10 / ATE01A1 ANALYTICAL TECHNIQUES A CAMPUS APK, DFC & SWC SUPPLEMENTARY SUMMATIVE ASSESSMENT DATE 15 JULY 2014 SESSION 15:00 17:00 ASSESSOR MODERATOR

More information

CHAPTER 6 Random Variables

CHAPTER 6 Random Variables CHAPTER 6 Random Variables 6.3 Binomial and Geometric Random Variables The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Binomial and Geometric Random

More information

Lecture 6 Probability

Lecture 6 Probability Faculty of Medicine Epidemiology and Biostatistics الوبائيات واإلحصاء الحيوي (31505204) Lecture 6 Probability By Hatim Jaber MD MPH JBCM PhD 3+4-7-2018 1 Presentation outline 3+4-7-2018 Time Introduction-

More information

Chapter Chapter 6. Modeling Random Events: The Normal and Binomial Models

Chapter Chapter 6. Modeling Random Events: The Normal and Binomial Models Chapter 6 107 Chapter 6 Modeling Random Events: The Normal and Binomial Models Chapter 6 108 Chapter 6 109 Table Number: Group Name: Group Members: Discrete Probability Distribution: Ichiro s Hit Parade

More information

Math 235 Final Exam Practice test. Name

Math 235 Final Exam Practice test. Name Math 235 Final Exam Practice test Name Use the Gauss-Jordan method to solve the system of equations. 1) x + y + z = -1 x - y + 3z = -7 4x + y + z = -7 A) (-1, -2, 2) B) (-2, 2, -1) C)(-1, 2, -2) D) No

More information

Section 8.1 Distributions of Random Variables

Section 8.1 Distributions of Random Variables Section 8.1 Distributions of Random Variables Random Variable A random variable is a rule that assigns a number to each outcome of a chance experiment. There are three types of random variables: 1. Finite

More information

4.1 Probability Distributions

4.1 Probability Distributions Probability and Statistics Mrs. Leahy Chapter 4: Discrete Probability Distribution ALWAYS KEEP IN MIND: The Probability of an event is ALWAYS between: and!!!! 4.1 Probability Distributions Random Variables

More information

Determine whether the given procedure results in a binomial distribution. If not, state the reason why.

Determine whether the given procedure results in a binomial distribution. If not, state the reason why. Math 5.3 Binomial Probability Distributions Name 1) Binomial Distrbution: Determine whether the given procedure results in a binomial distribution. If not, state the reason why. 2) Rolling a single die

More information

PROBABILITY and BAYES THEOREM

PROBABILITY and BAYES THEOREM PROBABILITY and BAYES THEOREM From: http://ocw.metu.edu.tr/pluginfile.php/2277/mod_resource/content/0/ ocw_iam530/2.conditional%20probability%20and%20bayes%20theorem.pdf CONTINGENCY (CROSS- TABULATION)

More information

Name: Show all your work! Mathematical Concepts Joysheet 1 MAT 117, Spring 2013 D. Ivanšić

Name: Show all your work! Mathematical Concepts Joysheet 1 MAT 117, Spring 2013 D. Ivanšić Mathematical Concepts Joysheet 1 Use your calculator to compute each expression to 6 significant digits accuracy or six decimal places, whichever is more accurate. Write down the sequence of keys you entered

More information

STAT 3090 Test 2 - Version B Fall Student s Printed Name: PLEASE READ DIRECTIONS!!!!

STAT 3090 Test 2 - Version B Fall Student s Printed Name: PLEASE READ DIRECTIONS!!!! Student s Printed Name: Instructor: XID: Section #: Read each question very carefully. You are permitted to use a calculator on all portions of this exam. You are NOT allowed to use any textbook, notes,

More information

Chapter 4 Discrete Random variables

Chapter 4 Discrete Random variables Chapter 4 Discrete Random variables A is a variable that assumes numerical values associated with the random outcomes of an experiment, where only one numerical value is assigned to each sample point.

More information

Statistics and Probabilities

Statistics and Probabilities Unit : -: Sampling Techniques Survey: - an exercise to ask a group of people about their responses to issues / products / preferences. Population: - the group of people who will be affected by the result

More information

STT315 Chapter 4 Random Variables & Probability Distributions AM KM

STT315 Chapter 4 Random Variables & Probability Distributions AM KM Before starting new chapter: brief Review from Algebra Combinations In how many ways can we select x objects out of n objects? In how many ways you can select 5 numbers out of 45 numbers ballot to win

More information

5.2 Random Variables, Probability Histograms and Probability Distributions

5.2 Random Variables, Probability Histograms and Probability Distributions Chapter 5 5.2 Random Variables, Probability Histograms and Probability Distributions A random variable (r.v.) can be either continuous or discrete. It takes on the possible values of an experiment. It

More information

Please have out... - notebook - calculator

Please have out... - notebook - calculator Please have out... - notebook - calculator May 6 8:36 PM 6.3 How can we find probabilities when each observation has two possible outcomes? 1 What are we learning today? John Doe claims to possess ESP.

More information

Mathematical Concepts Joysheet 1 MAT 117, Spring 2011 D. Ivanšić. Name: Show all your work!

Mathematical Concepts Joysheet 1 MAT 117, Spring 2011 D. Ivanšić. Name: Show all your work! Mathematical Concepts Joysheet 1 Use your calculator to compute each expression to 6 significant digits accuracy. Write down thesequence of keys youentered inorder to compute each expression. Donot roundnumbers

More information

Applied Mathematics 12 Extra Practice Exercises Chapter 3

Applied Mathematics 12 Extra Practice Exercises Chapter 3 H E LP Applied Mathematics Extra Practice Exercises Chapter Tutorial., page 98. A bag contains 5 red balls, blue balls, and green balls. For each of the experiments described below, complete the given

More information

work to get full credit.

work to get full credit. Chapter 18 Review Name Date Period Write complete answers, using complete sentences where necessary.show your work to get full credit. MULTIPLE CHOICE. Choose the one alternative that best completes the

More information

Stat511 Additional Materials

Stat511 Additional Materials Binomial Random Variable Stat511 Additional Materials The first discrete RV that we will discuss is the binomial random variable. The binomial random variable is a result of observing the outcomes from

More information

L04: Homework Answer Key

L04: Homework Answer Key L04: Homework Answer Key Instructions: You are encouraged to collaborate with other students on the homework, but it is important that you do your own work. Before working with someone else on the assignment,

More information

Math 1070 Sample Exam 2 Spring 2015

Math 1070 Sample Exam 2 Spring 2015 University of Connecticut Department of Mathematics Math 1070 Sample Exam 2 Spring 2015 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.4. This sample exam

More information

Estimation. Focus Points 10/11/2011. Estimating p in the Binomial Distribution. Section 7.3

Estimation. Focus Points 10/11/2011. Estimating p in the Binomial Distribution. Section 7.3 Estimation 7 Copyright Cengage Learning. All rights reserved. Section 7.3 Estimating p in the Binomial Distribution Copyright Cengage Learning. All rights reserved. Focus Points Compute the maximal length

More information

3. The n observations are independent. Knowing the result of one observation tells you nothing about the other observations.

3. The n observations are independent. Knowing the result of one observation tells you nothing about the other observations. Binomial and Geometric Distributions - Terms and Formulas Binomial Experiments - experiments having all four conditions: 1. Each observation falls into one of two categories we call them success or failure.

More information

Test - Sections 11-13

Test - Sections 11-13 Test - Sections 11-13 version 1 You have just been offered a job with medical benefits. In talking with the insurance salesperson you learn that the insurer uses the following probability calculations:

More information

Chapter 4 Discrete Random variables

Chapter 4 Discrete Random variables Chapter 4 Discrete Random variables A is a variable that assumes numerical values associated with the random outcomes of an experiment, where only one numerical value is assigned to each sample point.

More information

Section Distributions of Random Variables

Section Distributions of Random Variables Section 8.1 - Distributions of Random Variables Definition: A random variable is a rule that assigns a number to each outcome of an experiment. Example 1: Suppose we toss a coin three times. Then we could

More information

Lesson 97 - Binomial Distributions IBHL2 - SANTOWSKI

Lesson 97 - Binomial Distributions IBHL2 - SANTOWSKI Lesson 97 - Binomial Distributions IBHL2 - SANTOWSKI Opening Exercise: Example #: (a) Use a tree diagram to answer the following: You throwing a bent coin 3 times where P(H) = / (b) THUS, find the probability

More information

Opening Exercise: Lesson 91 - Binomial Distributions IBHL2 - SANTOWSKI

Opening Exercise: Lesson 91 - Binomial Distributions IBHL2 - SANTOWSKI 08-0- Lesson 9 - Binomial Distributions IBHL - SANTOWSKI Opening Exercise: Example #: (a) Use a tree diagram to answer the following: You throwing a bent coin times where P(H) = / (b) THUS, find the probability

More information

4.2 Bernoulli Trials and Binomial Distributions

4.2 Bernoulli Trials and Binomial Distributions Arkansas Tech University MATH 3513: Applied Statistics I Dr. Marcel B. Finan 4.2 Bernoulli Trials and Binomial Distributions A Bernoulli trial 1 is an experiment with exactly two outcomes: Success and

More information

(c) The probability that a randomly selected driver having a California drivers license

(c) The probability that a randomly selected driver having a California drivers license Statistics Test 2 Name: KEY 1 Classify each statement as an example of classical probability, empirical probability, or subjective probability (a An executive for the Krusty-O cereal factory makes an educated

More information

3. The n observations are independent. Knowing the result of one observation tells you nothing about the other observations.

3. The n observations are independent. Knowing the result of one observation tells you nothing about the other observations. Binomial and Geometric Distributions - Terms and Formulas Binomial Experiments - experiments having all four conditions: 1. Each observation falls into one of two categories we call them success or failure.

More information

MATH 112 Section 7.3: Understanding Chance

MATH 112 Section 7.3: Understanding Chance MATH 112 Section 7.3: Understanding Chance Prof. Jonathan Duncan Walla Walla University Autumn Quarter, 2007 Outline 1 Introduction to Probability 2 Theoretical vs. Experimental Probability 3 Advanced

More information

Chapter 5 Student Lecture Notes 5-1. Department of Quantitative Methods & Information Systems. Business Statistics

Chapter 5 Student Lecture Notes 5-1. Department of Quantitative Methods & Information Systems. Business Statistics Chapter 5 Student Lecture Notes 5-1 Department of Quantitative Methods & Information Systems Business Statistics Chapter 5 Discrete Probability Distributions QMIS 120 Dr. Mohammad Zainal Chapter Goals

More information

Cover Page Homework #8

Cover Page Homework #8 MODESTO JUNIOR COLLEGE Department of Mathematics MATH 134 Fall 2011 Problem 11.6 Cover Page Homework #8 (a) What does the population distribution describe? (b) What does the sampling distribution of x

More information

PROBABILITY AND STATISTICS CHAPTER 4 NOTES DISCRETE PROBABILITY DISTRIBUTIONS

PROBABILITY AND STATISTICS CHAPTER 4 NOTES DISCRETE PROBABILITY DISTRIBUTIONS PROBABILITY AND STATISTICS CHAPTER 4 NOTES DISCRETE PROBABILITY DISTRIBUTIONS I. INTRODUCTION TO RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS A. Random Variables 1. A random variable x represents a value

More information

Probability Distributions. Definitions Discrete vs. Continuous Mean and Standard Deviation TI 83/84 Calculator Binomial Distribution

Probability Distributions. Definitions Discrete vs. Continuous Mean and Standard Deviation TI 83/84 Calculator Binomial Distribution Probability Distributions Definitions Discrete vs. Continuous Mean and Standard Deviation TI 83/84 Calculator Binomial Distribution Definitions Random Variable: a variable that has a single numerical value

More information

Section Random Variables and Histograms

Section Random Variables and Histograms Section 3.1 - Random Variables and Histograms Definition: A random variable is a rule that assigns a number to each outcome of an experiment. Example 1: Suppose we toss a coin three times. Then we could

More information

MANAGEMENT PRINCIPLES AND STATISTICS (252 BE)

MANAGEMENT PRINCIPLES AND STATISTICS (252 BE) MANAGEMENT PRINCIPLES AND STATISTICS (252 BE) Normal and Binomial Distribution Applied to Construction Management Sampling and Confidence Intervals Sr Tan Liat Choon Email: tanliatchoon@gmail.com Mobile:

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 131-03 Practice Questions for Exam# 2 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 1) What is the effective rate that corresponds to a nominal

More information

MATH 264 Problem Homework I

MATH 264 Problem Homework I MATH Problem Homework I Due to December 9, 00@:0 PROBLEMS & SOLUTIONS. A student answers a multiple-choice examination question that offers four possible answers. Suppose that the probability that the

More information

Math 230 Exam 2 Name April 8, 1999

Math 230 Exam 2 Name April 8, 1999 Math 230 Exam 2 Name April 8, 1999 Instructions: Answer each question to the best of your ability. Most questions require that you give a concluding or summary statement. These statements should be complete

More information

X P(X) (c) Express the event performing at least two tests in terms of X and find its probability.

X P(X) (c) Express the event performing at least two tests in terms of X and find its probability. AP Stats ~ QUIZ 6 Name Period 1. The probability distribution below is for the random variable X = number of medical tests performed on a randomly selected outpatient at a certain hospital. X 0 1 2 3 4

More information

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: Distribution Distribute in anyway but normal

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: Distribution Distribute in anyway but normal Distribution Distribute in anyway but normal VI. DISTRIBUTION A probability distribution is a mathematical function that provides the probabilities of occurrence of all distinct outcomes in the sample

More information

Chapter. Section 4.2. Chapter 4. Larson/Farber 5 th ed 1. Chapter Outline. Discrete Probability Distributions. Section 4.

Chapter. Section 4.2. Chapter 4. Larson/Farber 5 th ed 1. Chapter Outline. Discrete Probability Distributions. Section 4. Chapter Discrete Probability s Chapter Outline 1 Probability s 2 Binomial s 3 More Discrete Probability s Copyright 2015, 2012, and 2009 Pearson Education, Inc 1 Copyright 2015, 2012, and 2009 Pearson

More information

MATH 446/546 Homework 1:

MATH 446/546 Homework 1: MATH 446/546 Homework 1: Due September 28th, 216 Please answer the following questions. Students should type there work. 1. At time t, a company has I units of inventory in stock. Customers demand the

More information

Chapter 4 Probability Distributions

Chapter 4 Probability Distributions Slide 1 Chapter 4 Probability Distributions Slide 2 4-1 Overview 4-2 Random Variables 4-3 Binomial Probability Distributions 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution 4-5

More information

Chapter 7. Confidence Intervals and Sample Sizes. Definition. Definition. Definition. Definition. Confidence Interval : CI. Point Estimate.

Chapter 7. Confidence Intervals and Sample Sizes. Definition. Definition. Definition. Definition. Confidence Interval : CI. Point Estimate. Chapter 7 Confidence Intervals and Sample Sizes 7. Estimating a Proportion p 7.3 Estimating a Mean µ (σ known) 7.4 Estimating a Mean µ (σ unknown) 7.5 Estimating a Standard Deviation σ In a recent poll,

More information

Shifting our focus. We were studying statistics (data, displays, sampling...) The next few lectures focus on probability (randomness) Why?

Shifting our focus. We were studying statistics (data, displays, sampling...) The next few lectures focus on probability (randomness) Why? Probability Introduction Shifting our focus We were studying statistics (data, displays, sampling...) The next few lectures focus on probability (randomness) Why? What is Probability? Probability is used

More information

Test 3 Review. 2. What is the effective rate of interest for money invested at 10% annual interest compounded monthly?

Test 3 Review. 2. What is the effective rate of interest for money invested at 10% annual interest compounded monthly? Test 3 Review For questions 1 6, state the type of problem and calculate the answer. 1. Parents of a college student wish to set up an account that will pay $350 per month to the student for four years.

More information

Chapter 6 Section 3: Binomial and Geometric Random Variables

Chapter 6 Section 3: Binomial and Geometric Random Variables Name: Date: Period: Chapter 6 Section 3: Binomial and Geometric Random Variables When the same chance process is repeated several times, we are often interested whether a particular outcome does or does

More information

Math 227 (Statistics) Chapter 6 Practice Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Math 227 (Statistics) Chapter 6 Practice Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Math 227 (Statistics) Chapter 6 Practice Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Using the following uniform density curve, answer the

More information

Stat 210 Exam Two. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Stat 210 Exam Two. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Stat 210 Exam Two Read these directions carefully. Take your time and check your work. Many students do not take enough time on their tests. Each problem is worth four points. You may choose exactly question

More information

Central Limit Theorem (cont d) 7/28/2006

Central Limit Theorem (cont d) 7/28/2006 Central Limit Theorem (cont d) 7/28/2006 Central Limit Theorem for Binomial Distributions Theorem. For the binomial distribution b(n, p, j) we have lim npq b(n, p, np + x npq ) = φ(x), n where φ(x) is

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. Module 5 Test Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Calculate the specified probability ) Suppose that T is a random variable. Given

More information

6.1 Discrete & Continuous Random Variables. Nov 4 6:53 PM. Objectives

6.1 Discrete & Continuous Random Variables. Nov 4 6:53 PM. Objectives 6.1 Discrete & Continuous Random Variables examples vocab Objectives Today we will... - Compute probabilities using the probability distribution of a discrete random variable. - Calculate and interpret

More information

The Binomial Probability Distribution

The Binomial Probability Distribution The Binomial Probability Distribution MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2017 Objectives After this lesson we will be able to: determine whether a probability

More information

Homework Problems In each of the following situations, X is a count. Does X have a binomial distribution? Explain. 1. You observe the gender of the next 40 children born in a hospital. X is the number

More information

Problem Set 08 Sampling Distribution of Sample Mean

Problem Set 08 Sampling Distribution of Sample Mean Problem Set 08 Sampling Distribution of Sample Mean MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the requested probability. 1) The table reports

More information

Probability Distribution

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

More information

FINAL REVIEW 14! (14 2)!2!

FINAL REVIEW 14! (14 2)!2! Discrete Mathematics FINAL REVIEW Name Per. Evaluate and simplify the following completely, Show all your work. 1. 5! 2. 7! 42 3. 9!4! 3!10! 4. 24!19! 22!21! 5. 4! (7 5)! 6. 46! 45!23 7. 9 5!3! 18 2!4!

More information

A.REPRESENTATION OF DATA

A.REPRESENTATION OF DATA A.REPRESENTATION OF DATA (a) GRAPHS : PART I Q: Why do we need a graph paper? Ans: You need graph paper to draw: (i) Histogram (ii) Cumulative Frequency Curve (iii) Frequency Polygon (iv) Box-and-Whisker

More information