Exam 2 - Pretest DS-23

Size: px
Start display at page:

Download "Exam 2 - Pretest DS-23"

Transcription

1 Exam 2 - Pretest DS-23 Chapter (4,5,6) Odds 10/3/2017 Ferbrache MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the problem. 1) A single die is rolled one time. Find the probability of rolling an odd number or a number less than 5. 1) A) 5 6 B) 2 3 C) 1 2 D) 1 2) One card is selected from a deck of cards. Find the probability of selecting a red card or a queen. 2) A) B) C) D) ) A survey revealed that 50% of people are entertained by reading books, 33% are entertained by watching TV, and 17% are entertained by both books and TV. What is the probability that a person will be entertained by either books or TV? Express the answer as a percentage. A) 66% B) 17% C) 83% D) 100% 4) Of the coffee makers sold in an appliance store, 6.0% have either a faulty switch or a defective cord, 2.6% have a faulty switch, and 0.8% have both defects. What is the probability that a coffee maker will have a defective cord? Express the answer as a percentage. A) 6.8% B) 4.2% C) 6.0% D) 3.4% 5) A survey of senior citizens at a doctor's office shows that 45% take blood pressure-lowering medication, 48% take cholesterol-lowering medication, and 7% take both medications. What is the probability that a senior citizen takes either blood pressure-lowering or cholesterol-lowering medication? Express the answer as a percentage A) 0% B) 4% C) 100% D) 86% 6) Below is a table of data from a survey given to 1600 teenagers asking them to estimate what percentage of their classmates are using drugs. Find the probability that a randomly selected girl thinks that 50% or more of her classmates are using drugs. Round your answer to the nearest hundredth. None 1% - 24% 25% - 49% 50% - 74% 75% or more Boys Girls A).10 B).08 C).21 D).17 3) 4) 5) 6) 7) If a single fair die is rolled, find the probability of a 4 given that the number rolled is odd. 7) A) 1 2 B) 1 6 C) 0 D) 1 8) If two fair dice are rolled, find the probability of a sum of 6 given that the roll is a double. 8) A) 1 3 B) 1 5 C) 1 4 D) 1 6 1

2 9) The Vardon Exploration Company is getting ready to leave for South America to explore for oil. One piece of equipment requires 10 batteries that must operate for more than 2 hours. The batteries being used have a 15 percent chance of failing within 2 hours. The exploration leader plans to take 15 batteries. Assuming that the conditions of the binomial apply, the probability that the supply of batteries will contain enough good ones to operate the equipment is: A) B) C) D) ) If the number of defective items selected at random from a parts inventory is considered to follow a binomial distribution with n = 50 and p = 0.10, the expected number of defective parts is: A) more than 10 B) approximately 2.24 C) 0.5 D) 5 11) Assuming that potholes occur randomly along roads, the number of potholes per mile of road could best be described by the: A) binomial distribution. B) hypergeometric distribution. C) continuous distribution D) Poisson distribution. 12) The number of visible defects on a product container is thought to be Poisson distributed with a mean equal to 3.5. Based on this, the probability that 2 containers will contain a total of less than 2 defects is: A) B) C) D) ) A local paint store carries 4 brands of paint (W, X, Y, and Z). The store has 5 cans of W, 3 cans of X, 6 cans of Y, and 15 cans of Z, all in white. It is thought that customers have no preference for one of these brands over another. If this is the case, what is the probability that the next 5 customers will select 1 can of W, X, Y and 2 cans of brand Z? A) Over.30 B) About.23 C) 0.25 D) Approximately.08 14) Because of bad weather, the number of days next week that the captain of a charter fishing boat can leave port is uncertain. Let x = number of days that the boat is able to leave port per week. The following probability distribution for the variable, x, was determined based on historical data when the weather was poor: 9) 10) 11) 12) 13) 14) Based on the probability distribution, what is the expected number of days per week the captain can leave port? A) 2.8 B) 3.7 C) 1.7 D) 4.5 2

3 15) The roll of a pair of dice has the following probability distribution, where the random variable is the sum of the values produced by each die: 15) 2 1/36 3 2/36 4 3/36 5 4/36 6 5/36 7 6/36 8 5/36 9 4/ / / /36 Calculate the variance of x. A) B) C) D) ) Jennings Assembly in Hartford, Connecticut, uses a component supplied by a company in Brazil. The component is expensive to carry in inventory and consequently is not always available in stock when requested. Furthermore, shipping schedules are such that the lead time for transportation of the component is not a constant. Using historical records, the manufacturing firm has developed the following probability distribution for the product's lead time. The distribution is shown here, where the random variable is the number of days between the placement of the replenishment order and the receipt of the item. 16) What is the average lead time for the component? A) B) C) D) ) For a binomial distribution with a sample size equal to 10 and a probability of a success equal to 0.30, what is the probability that the sample will contain exactly three successes? Use the binomial formula to determine the probability. A) B) C) D) ) If a binomial distribution applies with a sample size of n = 20, find the probability of at least 7 successes if the probability of a success is A) B) C) D) ) 18) 3

4 19) It is assumed that the time failures for an electronic component are exponentially distributed with a mean of 50 hours between consecutive failures. What is the probability that a component will be functioning after 60 hours? A) About 0.49 B) Approximately 0.30 C) About 0.21 D) About ) A randomly selected value from a normal distribution is found to be 2.1 standard deviations above its mean. What is the probability that a randomly selected value from the distribution will be greater than 2.1 standard deviations above the mean? A) B) C) D) ) The transportation manager for the State of New Jersey has determined that the time between arrivals at a toll booth on the state's turnpike is exponentially distributed with = 4 cars per minute. Based on this information, what is the probability that the time between any two cars arriving will exceed 11 seconds? A) Approximately 1.0 B) About 0.75 C) Approximately 0.48 D) About ) 20) 21) 22) For a standardized normal distribution, calculate P(z < 1.5). 22) A) B) C) D) ) A random variable is normally distributed with a mean of 25 and a standard deviation of 5. If an observation is randomly selected from the distribution, determine two values of which the smallest has 25% of the values below it and the largest has 25% of the values above it. A) and B) and C) and D) and ) The manager of a computer help desk operation has collected enough data to conclude that the distribution of time per call is normally distributed with a mean equal to 8.21 minutes and a standard deviation of 2.14 minutes. Based on this, what is the probability that a call will last longer than 13 minutes? A) About B) About C) Approximately D) About ) Students who have completed a speed reading course have reading speeds that are normally distributed with a mean of 950 words per minute and a standard deviation equal to 220 words per minute. Based on this information, what is the probability of a student reading at more than 1400 words per minute after finishing the course? A) B) C) D) ) 24) 25) 4

5 Answer Key Testname: EXAM2(PRETEST VERSION1) 1) A 2) C 3) A 4) B 5) D 6) C 7) C 8) D 9) C 10) D 11) D 12) D 13) D 14) B 15) B 16) D 17) B 18) A 19) B 20) D 21) C 22) B 23) C 24) D 25) D 5

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

STT 315 Practice Problems Chapter 3.7 and 4

STT 315 Practice Problems Chapter 3.7 and 4 STT 315 Practice Problems Chapter 3.7 and 4 Answer the question True or False. 1) The number of children in a family can be modelled using a continuous random variable. 2) For any continuous probability

More information

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #2 - SUMMER DR. DAVID BRIDGE

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #2 - SUMMER DR. DAVID BRIDGE MATH 2053 - CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #2 - SUMMER 2007 - DR. DAVID BRIDGE MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the

More information

Important Terms. Summary. multinomial distribution 234 Poisson distribution 235. expected value 220 hypergeometric distribution 238

Important Terms. Summary. multinomial distribution 234 Poisson distribution 235. expected value 220 hypergeometric distribution 238 6 6 Summary Many variables have special probability distributions. This chapter presented several of the most common probability distributions, including the binomial distribution, the multinomial distribution,

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

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

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

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find a z-score satisfying the given condition. 1) 20.1% of the total area is to the right

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

Name Period AP Statistics Unit 5 Review

Name Period AP Statistics Unit 5 Review Name Period AP Statistics Unit 5 Review Multiple Choice 1. Jay Olshansky from the University of Chicago was quoted in Chance News as arguing that for the average life expectancy to reach 100, 18% of people

More information

STUDY SET 1. Discrete Probability Distributions. x P(x) and x = 6.

STUDY SET 1. Discrete Probability Distributions. x P(x) and x = 6. STUDY SET 1 Discrete Probability Distributions 1. Consider the following probability distribution function. Compute the mean and standard deviation of. x 0 1 2 3 4 5 6 7 P(x) 0.05 0.16 0.19 0.24 0.18 0.11

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

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 DISTRIBUTIONS

PROBABILITY DISTRIBUTIONS CHAPTER 3 PROBABILITY DISTRIBUTIONS Page Contents 3.1 Introduction to Probability Distributions 51 3.2 The Normal Distribution 56 3.3 The Binomial Distribution 60 3.4 The Poisson Distribution 64 Exercise

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

Chapter 3. Discrete Probability Distributions

Chapter 3. Discrete Probability Distributions Chapter 3 Discrete Probability Distributions 1 Chapter 3 Overview Introduction 3-1 The Binomial Distribution 3-2 Other Types of Distributions 2 Chapter 3 Objectives Find the exact probability for X successes

More information

7. The random variable X is the number of cars entering the campus from 1 to 1:05 A.M. Assign probabilities according to the formula:

7. The random variable X is the number of cars entering the campus from 1 to 1:05 A.M. Assign probabilities according to the formula: Operations Research Models and Methods Paul A. Jensen and Jonathan F. Bard Probability Models.S5 Exercises 1. From the daily newspaper identify five quantities that are variable in time and uncertain for

More information

Lecture 9. Probability Distributions. Outline. Outline

Lecture 9. Probability Distributions. Outline. Outline Outline Lecture 9 Probability Distributions 6-1 Introduction 6- Probability Distributions 6-3 Mean, Variance, and Expectation 6-4 The Binomial Distribution Outline 7- Properties of the Normal Distribution

More information

Example - Let X be the number of boys in a 4 child family. Find the probability distribution table:

Example - Let X be the number of boys in a 4 child family. Find the probability distribution table: Chapter7 Probability Distributions and Statistics Distributions of Random Variables tthe value of the result of the probability experiment is a RANDOM VARIABLE. Example - Let X be the number of boys in

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

Lecture 9. Probability Distributions

Lecture 9. Probability Distributions Lecture 9 Probability Distributions Outline 6-1 Introduction 6-2 Probability Distributions 6-3 Mean, Variance, and Expectation 6-4 The Binomial Distribution Outline 7-2 Properties of the Normal Distribution

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

Solve the matrix equation for X. 1) A = 6 0, B = , AX = B A) D) -2 2 B) -12 0

Solve the matrix equation for X. 1) A = 6 0, B = , AX = B A) D) -2 2 B) -12 0 MATH 1324 FINAL EXAM. ANSWER ALL QUESTIONS. TIME 1.5HRS. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the matrix equation for X. 1) A = 3-2

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

Math 227 Practice Test 2 Sec Name

Math 227 Practice Test 2 Sec Name Math 227 Practice Test 2 Sec 4.4-6.2 Name Find the indicated probability. ) A bin contains 64 light bulbs of which 0 are defective. If 5 light bulbs are randomly selected from the bin with replacement,

More information

Discrete Probability Distributions

Discrete Probability Distributions Discrete Probability Distributions Chapter 6 Learning Objectives Define terms random variable and probability distribution. Distinguish between discrete and continuous probability distributions. 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

Chapter 6 Continuous Probability Distributions. Learning objectives

Chapter 6 Continuous Probability Distributions. Learning objectives Chapter 6 Continuous s Slide 1 Learning objectives 1. Understand continuous probability distributions 2. Understand Uniform distribution 3. Understand Normal distribution 3.1. Understand Standard normal

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

ECON 214 Elements of Statistics for Economists 2016/2017

ECON 214 Elements of Statistics for Economists 2016/2017 ECON 214 Elements of Statistics for Economists 2016/2017 Topic Probability Distributions: Binomial and Poisson Distributions Lecturer: Dr. Bernardin Senadza, Dept. of Economics bsenadza@ug.edu.gh College

More information

CH 6 Review Normal Probability Distributions College Statistics

CH 6 Review Normal Probability Distributions College Statistics CH 6 Review Normal Probability Distributions College Statistics Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Using the following uniform density

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

Other Types of Distributions

Other Types of Distributions Other Types of Distributions Unit 9 Probability Distributions Warm Up! The chance that a U.S. police chief believes the death penalty significantly reduces the number of homicides is 1 in 4. If a random

More information

Probability Distributions

Probability Distributions 4.1 Probability Distributions Random Variables A random variable x represents a numerical value associated with each outcome of a probability distribution. A random variable is discrete if it has a finite

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

Exercises for Chapter (5)

Exercises for Chapter (5) Exercises for Chapter (5) MULTILE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 500 families were interviewed and the number of children per family was

More information

S = 1,2,3, 4,5,6 occurs

S = 1,2,3, 4,5,6 occurs Chapter 5 Discrete Probability Distributions The observations generated by different statistical experiments have the same general type of behavior. Discrete random variables associated with these experiments

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

THE UNIVERSITY OF THE WEST INDIES (DEPARTMENT OF MANAGEMENT STUDIES)

THE UNIVERSITY OF THE WEST INDIES (DEPARTMENT OF MANAGEMENT STUDIES) THE UNIVERSITY OF THE WEST INDIES (DEPARTMENT OF MANAGEMENT STUDIES) Mid-Semester Exam: Summer2005 June 20:2005; 7:00 9:00 pm MS 23C: Introduction to Quantitative Methods Instructions 1. This exam has

More information

Random Variable: Definition

Random Variable: Definition Random Variables Random Variable: Definition A Random Variable is a numerical description of the outcome of an experiment Experiment Roll a die 10 times Inspect a shipment of 100 parts Open a gas station

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

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 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

Probability Theory and Simulation Methods. April 9th, Lecture 20: Special distributions

Probability Theory and Simulation Methods. April 9th, Lecture 20: Special distributions April 9th, 2018 Lecture 20: Special distributions Week 1 Chapter 1: Axioms of probability Week 2 Chapter 3: Conditional probability and independence Week 4 Chapters 4, 6: Random variables Week 9 Chapter

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

Math Week in Review #10. Experiments with two outcomes ( success and failure ) are called Bernoulli or binomial trials.

Math Week in Review #10. Experiments with two outcomes ( success and failure ) are called Bernoulli or binomial trials. Math 141 Spring 2006 c Heather Ramsey Page 1 Section 8.4 - Binomial Distribution Math 141 - Week in Review #10 Experiments with two outcomes ( success and failure ) are called Bernoulli or binomial trials.

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

II - Probability. Counting Techniques. three rules of counting. 1multiplication rules. 2permutations. 3combinations

II - Probability. Counting Techniques. three rules of counting. 1multiplication rules. 2permutations. 3combinations II - Probability Counting Techniques three rules of counting 1multiplication rules 2permutations 3combinations Section 2 - Probability (1) II - Probability Counting Techniques 1multiplication rules In

More information

Text Book. Business Statistics, By Ken Black, Wiley India Edition. Nihar Ranjan Roy

Text Book. Business Statistics, By Ken Black, Wiley India Edition. Nihar Ranjan Roy Text Book Business Statistics, By Ken Black, Wiley India Edition Coverage In this section we will cover Binomial Distribution Poison Distribution Hypergeometric Distribution Binomial Distribution It is

More information

MATH FOR LIBERAL ARTS REVIEW 2

MATH FOR LIBERAL ARTS REVIEW 2 MATH FOR LIBERAL ARTS REVIEW 2 Use the theoretical probability formula to solve the problem. Express the probability as a fraction reduced to lowest terms. 1) A die is rolled. The set of equally likely

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

2011 Pearson Education, Inc

2011 Pearson Education, Inc Statistics for Business and Economics Chapter 4 Random Variables & Probability Distributions Content 1. Two Types of Random Variables 2. Probability Distributions for Discrete Random Variables 3. The Binomial

More information

Record on a ScanTron, your choosen response for each question. You may write on this form. One page of notes and a calculator are allowed.

Record on a ScanTron, your choosen response for each question. You may write on this form. One page of notes and a calculator are allowed. Ch 16, 17 Math 240 Exam 4 v1 Good SAMPLE No Book, Yes 1 Page Notes, Yes Calculator, 120 Minutes Dressler Record on a ScanTron, your choosen response for each question. You may write on this form. One page

More information

8.1 Binomial Distributions

8.1 Binomial Distributions 8.1 Binomial Distributions The Binomial Setting The 4 Conditions of a Binomial Setting: 1.Each observation falls into 1 of 2 categories ( success or fail ) 2 2.There is a fixed # n of observations. 3.All

More information

Binomial formulas: The binomial coefficient is the number of ways of arranging k successes among n observations.

Binomial formulas: The binomial coefficient is the number of ways of arranging k successes among n observations. Chapter 8 Notes Binomial and Geometric Distribution Often times we are interested in an event that has only two outcomes. For example, we may wish to know the outcome of a free throw shot (good or missed),

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

Chapter 3: Probability Distributions and Statistics

Chapter 3: Probability Distributions and Statistics Chapter 3: Probability Distributions and Statistics Section 3.-3.3 3. Random Variables and Histograms A is a rule that assigns precisely one real number to each outcome of an experiment. We usually denote

More information

STOR 155 Introductory Statistics (Chap 5) Lecture 14: Sampling Distributions for Counts and Proportions

STOR 155 Introductory Statistics (Chap 5) Lecture 14: Sampling Distributions for Counts and Proportions The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STOR 155 Introductory Statistics (Chap 5) Lecture 14: Sampling Distributions for Counts and Proportions 5/31/11 Lecture 14 1 Statistic & Its Sampling Distribution

More information

I. Standard Error II. Standard Error III. Standard Error 2.54

I. Standard Error II. Standard Error III. Standard Error 2.54 1) Original Population: Match the standard error (I, II, or III) with the correct sampling distribution (A, B, or C) and the correct sample size (1, 5, or 10) I. Standard Error 1.03 II. Standard Error

More information

Formula for the Multinomial Distribution

Formula for the Multinomial Distribution 6 5 Other Types of Distributions (Optional) In addition to the binomial distribution, other types of distributions are used in statistics. Three of the most commonly used distributions are the multinomial

More information

Learning Goals: * Determining the expected value from a probability distribution. * Applying the expected value formula to solve problems.

Learning Goals: * Determining the expected value from a probability distribution. * Applying the expected value formula to solve problems. Learning Goals: * Determining the expected value from a probability distribution. * Applying the expected value formula to solve problems. The following are marks from assignments and tests in a math class.

More information

EXERCISES RANDOM VARIABLES ON THE COMPUTER

EXERCISES RANDOM VARIABLES ON THE COMPUTER Exercises 383 RANDOM VARIABLES ON THE COMPUTER Statistics packages deal with data, not with random variables. Nevertheless, the calculations needed to find means and standard deviations of random variables

More information

Probability Models.S2 Discrete Random Variables

Probability Models.S2 Discrete Random Variables Probability Models.S2 Discrete Random Variables Operations Research Models and Methods Paul A. Jensen and Jonathan F. Bard Results of an experiment involving uncertainty are described by one or more random

More information

d) Find the standard deviation of the random variable X.

d) Find the standard deviation of the random variable X. Q 1: The number of students using Math lab per day is found in the distribution below. x 6 8 10 12 14 P(x) 0.15 0.3 0.35 0.1 0.1 a) Find the mean for this probability distribution. b) Find the variance

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

Data Analytics (CS40003) Practice Set IV (Topic: Probability and Sampling Distribution)

Data Analytics (CS40003) Practice Set IV (Topic: Probability and Sampling Distribution) Data Analytics (CS40003) Practice Set IV (Topic: Probability and Sampling Distribution) I. Concept Questions 1. Give an example of a random variable in the context of Drawing a card from a deck of cards.

More information

Experimental Probability - probability measured by performing an experiment for a number of n trials and recording the number of outcomes

Experimental Probability - probability measured by performing an experiment for a number of n trials and recording the number of outcomes MDM 4U Probability Review Properties of Probability Experimental Probability - probability measured by performing an experiment for a number of n trials and recording the number of outcomes Theoretical

More information

8.4: The Binomial Distribution

8.4: The Binomial Distribution c Dr Oksana Shatalov, Spring 2012 1 8.4: The Binomial Distribution Binomial Experiments have the following properties: 1. The number of trials in the experiment is fixed. 2. There are 2 possible outcomes

More information

Chapter 4 Random Variables & Probability. Chapter 4.5, 6, 8 Probability Distributions for Continuous Random Variables

Chapter 4 Random Variables & Probability. Chapter 4.5, 6, 8 Probability Distributions for Continuous Random Variables Chapter 4.5, 6, 8 Probability for Continuous Random Variables Discrete vs. continuous random variables Examples of continuous distributions o Uniform o Exponential o Normal Recall: A random variable =

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

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

Business Statistics. Chapter 5 Discrete Probability Distributions QMIS 120. Dr. Mohammad Zainal

Business Statistics. Chapter 5 Discrete Probability Distributions QMIS 120. Dr. Mohammad Zainal Department of Quantitative Methods & Information Systems Business Statistics Chapter 5 Discrete Probability Distributions QMIS 120 Dr. Mohammad Zainal Chapter Goals After completing this chapter, you should

More information

MATH 118 Class Notes For Chapter 5 By: Maan Omran

MATH 118 Class Notes For Chapter 5 By: Maan Omran MATH 118 Class Notes For Chapter 5 By: Maan Omran Section 5.1 Central Tendency Mode: the number or numbers that occur most often. Median: the number at the midpoint of a ranked data. Ex1: The test scores

More information

Mean, Variance, and Expectation. Mean

Mean, Variance, and Expectation. Mean 3 Mean, Variance, and Expectation The mean, variance, and standard deviation for a probability distribution are computed differently from the mean, variance, and standard deviation for samples. This section

More information

Chapter Six Probability Distributions

Chapter Six Probability Distributions 6.1 Probability Distributions Discrete Random Variable Chapter Six Probability Distributions x P(x) 2 0.08 4 0.13 6 0.25 8 0.31 10 0.16 12 0.01 Practice. Construct a probability distribution for the number

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

AP Statistics Review Ch. 6

AP Statistics Review Ch. 6 AP Statistics Review Ch. 6 Name 1. Which of the following data sets is not continuous? a. The gallons of gasoline in a car. b. The time it takes to commute in a car. c. Number of goals scored by a hockey

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

Assignment 2 (Solution) Probability and Statistics

Assignment 2 (Solution) Probability and Statistics Assignment 2 (Solution) Probability and Statistics Dr. Jitesh J. Thakkar Department of Industrial and Systems Engineering Indian Institute of Technology Kharagpur Instruction Total No. of Questions: 15.

More information

Name PID Section # (enrolled)

Name PID Section # (enrolled) STT 315 - Lecture 3 Instructor: Aylin ALIN 02/19/2014 Midterm # 1 A Name PID Section # (enrolled) * The exam is closed book and 80 minutes. * You may use a calculator and the formula sheet that you brought

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. First Name: Last Name: SID: Class Time: M Tu W Th math10 - HW3 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Continuous random variables are

More information

A probability distribution shows the possible outcomes of an experiment and the probability of each of these outcomes.

A probability distribution shows the possible outcomes of an experiment and the probability of each of these outcomes. Introduction In the previous chapter we discussed the basic concepts of probability and described how the rules of addition and multiplication were used to compute probabilities. In this chapter we expand

More information

Statistics for Managers Using Microsoft Excel 7 th Edition

Statistics for Managers Using Microsoft Excel 7 th Edition Statistics for Managers Using Microsoft Excel 7 th Edition Chapter 5 Discrete Probability Distributions Statistics for Managers Using Microsoft Excel 7e Copyright 014 Pearson Education, Inc. Chap 5-1 Learning

More information

Problem A Grade x P(x) To get "C" 1 or 2 must be 1 0.05469 B A 2 0.16410 3 0.27340 4 0.27340 5 0.16410 6 0.05470 7 0.00780 0.2188 0.5468 0.2266 Problem B Grade x P(x) To get "C" 1 or 2 must 1 0.31150 be

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

Math 13 Statistics Fall 2014 Midterm 2 Review Problems. Due on the day of the midterm (Friday, October 3, 2014 at 6 p.m. in N12)

Math 13 Statistics Fall 2014 Midterm 2 Review Problems. Due on the day of the midterm (Friday, October 3, 2014 at 6 p.m. in N12) Math 13 Statistics Fall 2014 Midterm 2 Review Problems Due on the day of the midterm (Friday, October 3, 2014 at 6 p.m. in N12) PRINT NAME (ALL UPPERCASE): Problem 1: A couple wants to have three babies

More information

Review for Final Exam

Review for Final Exam Review for Final Exam Disclaimer: This review is more heavily weighted on Chapter 5 (finance), although some problems from other chapters will be included. Please also take a look at the previous Week

More information

Discrete Probability Distributions and application in Business

Discrete Probability Distributions and application in Business http://wiki.stat.ucla.edu/socr/index.php/socr_courses_2008_thomson_econ261 Discrete Probability Distributions and application in Business By Grace Thomson DISCRETE PROBALITY DISTRIBUTIONS Discrete Probabilities

More information

EXERCISES FOR PRACTICE SESSION 2 OF STAT CAMP

EXERCISES FOR PRACTICE SESSION 2 OF STAT CAMP EXERCISES FOR PRACTICE SESSION 2 OF STAT CAMP Note 1: The exercises below that are referenced by chapter number are taken or modified from the following open-source online textbook that was adapted by

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. Chapter 6 Exam A Name The given values are discrete. Use the continuity correction and describe the region of the normal distribution that corresponds to the indicated probability. 1) The probability of

More information

Chapter 5. Discrete Probability Distributions. Random Variables

Chapter 5. Discrete Probability Distributions. Random Variables Chapter 5 Discrete Probability Distributions Random Variables x is a random variable which is a numerical description of the outcome of an experiment. Discrete: If the possible values change by steps or

More information

additionalmathematicsadditionalmath ematicsadditionalmathematicsadditio nalmathematicsadditionalmathematic sadditionalmathematicsadditionalmat

additionalmathematicsadditionalmath ematicsadditionalmathematicsadditio nalmathematicsadditionalmathematic sadditionalmathematicsadditionalmat additionalmathematicsadditionalmath ematicsadditionalmathematicsadditio nalmathematicsadditionalmathematic sadditionalmathematicsadditionalmat PROBABILTY DISTRIBUTION hematicsadditionalmathematicsadditi

More information

Probability Distributions. Chapter 6

Probability Distributions. Chapter 6 Probability Distributions Chapter 6 McGraw-Hill/Irwin The McGraw-Hill Companies, Inc. 2008 GOALS Define the terms probability distribution and random variable. Distinguish between discrete and continuous

More information

guessing Bluman, Chapter 5 2

guessing Bluman, Chapter 5 2 Bluman, Chapter 5 1 guessing Suppose there is multiple choice quiz on a subject you don t know anything about. 15 th Century Russian Literature; Nuclear physics etc. You have to guess on every question.

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

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

Sampling & populations

Sampling & populations Sampling & populations Sample proportions Sampling distribution - small populations Sampling distribution - large populations Sampling distribution - normal distribution approximation Mean & variance of

More information

15.063: Communicating with Data Summer Recitation 4 Probability III

15.063: Communicating with Data Summer Recitation 4 Probability III 15.063: Communicating with Data Summer 2003 Recitation 4 Probability III Today s Content Normal RV Central Limit Theorem (CLT) Statistical Sampling 15.063, Summer '03 2 Normal Distribution Any normal RV

More information

Sample Statistics Pro ciency Exam #1

Sample Statistics Pro ciency Exam #1 Sample Statistics Pro ciency Exam #1 Name: 1 An appliance store recorded its monthly sales M of microwave ovens for 20 months and ordered them as follows: 123, 126, 140, 141, 149 152, 152, 160, 164, 165

More information

Department of Quantitative Methods & Information Systems. Business Statistics. Chapter 6 Normal Probability Distribution QMIS 120. Dr.

Department of Quantitative Methods & Information Systems. Business Statistics. Chapter 6 Normal Probability Distribution QMIS 120. Dr. Department of Quantitative Methods & Information Systems Business Statistics Chapter 6 Normal Probability Distribution QMIS 120 Dr. Mohammad Zainal Chapter Goals After completing this chapter, you should

More information

CHAPTER 7 RANDOM VARIABLES AND DISCRETE PROBABILTY DISTRIBUTIONS MULTIPLE CHOICE QUESTIONS

CHAPTER 7 RANDOM VARIABLES AND DISCRETE PROBABILTY DISTRIBUTIONS MULTIPLE CHOICE QUESTIONS CHAPTER 7 RANDOM VARIABLES AND DISCRETE PROBABILTY DISTRIBUTIONS MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions, please circle the correct answer.. The weighted average of the possible

More information