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

Similar documents
Chapter 4 - Practice Problems 1

Chapter 4 & 5 practice set. The actual exam is not multiple choice nor does it contain like questions.

Chapter 4 - Practice Problems 2

Chapter What is the probability that a card chosen from an ordinary deck of 52 cards is an ace? Ans: 4/52.

Lesson 1. Basics of Probability. Principles of Mathematics 12: Explained! 314

V. RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, EXPECTED VALUE

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

2. How many ways can the letters in PHOENIX be rearranged? 7! = 5,040 ways.

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

Probability: Terminology and Examples Class 2, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

The Binomial Probability Distribution

Section 6.1 Discrete Random variables Probability Distribution

Math 3C Homework 3 Solutions

Section 5-3 Binomial Probability Distributions

Sample Questions for Mastery #5

Session 8 Probability

Probabilistic Strategies: Solutions

Random variables, probability distributions, binomial random variable

AP Statistics 7!3! 6!

Question: What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit?

For two disjoint subsets A and B of Ω, say that A and B are disjoint events. For disjoint events A and B we take an axiom P(A B) = P(A) + P(B)

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

You flip a fair coin four times, what is the probability that you obtain three heads.

Contemporary Mathematics- MAT 130. Probability. a) What is the probability of obtaining a number less than 4?

36 Odds, Expected Value, and Conditional Probability

Section 6.2 Definition of Probability

Bayesian Tutorial (Sheet Updated 20 March)

Chapter 5 - Practice Problems 1

MA 1125 Lecture 14 - Expected Values. Friday, February 28, Objectives: Introduce expected values.

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

Find the indicated probability. 1) If a single fair die is rolled, find the probability of a 4 given that the number rolled is odd.

PROBABILITY. The theory of probabilities is simply the Science of logic quantitatively treated. C.S. PEIRCE

Pattern matching probabilities and paradoxes A new variation on Penney s coin game

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics

WHERE DOES THE 10% CONDITION COME FROM?

AMS 5 CHANCE VARIABILITY

Decision Making Under Uncertainty. Professor Peter Cramton Economics 300

Chapter 5. Discrete Probability Distributions

Homework Assignment #2: Answer Key

Determine the empirical probability that a person selected at random from the 1000 surveyed uses Mastercard.

Section 6-5 Sample Spaces and Probability

MATH 140 Lab 4: Probability and the Standard Normal Distribution

Exam. Name. How many distinguishable permutations of letters are possible in the word? 1) CRITICS

Probability and statistical hypothesis testing. Holger Diessel

AP Stats - Probability Review

3.4. The Binomial Probability Distribution. Copyright Cengage Learning. All rights reserved.

ACMS Section 02 Elements of Statistics October 28, 2010 Midterm Examination II Answers

6. Let X be a binomial random variable with distribution B(10, 0.6). What is the probability that X equals 8? A) (0.6) (0.4) B) 8! C) 45(0.6) (0.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. A) B) C) D) 0.

Name: Date: Use the following to answer questions 2-4:

ACMS Section 02 Elements of Statistics October 28, Midterm Examination II

Ch5: Discrete Probability Distributions Section 5-1: Probability Distribution

Conditional Probability, Independence and Bayes Theorem Class 3, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

Hoover High School Math League. Counting and Probability

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 10

STAT 35A HW2 Solutions

Lecture 1 Introduction Properties of Probability Methods of Enumeration Asrat Temesgen Stockholm University

Chapter 7 Probability and Statistics

ST 371 (IV): Discrete Random Variables

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

Chapter 4 Lecture Notes

Probability Distribution for Discrete Random Variables

PROBABILITY SECOND EDITION

Introduction to Probability

WEEK #23: Statistics for Spread; Binomial Distribution

Problem sets for BUEC 333 Part 1: Probability and Statistics

What Do You Expect?: Homework Examples from ACE

Review for Test 2. Chapters 4, 5 and 6

Probability: The Study of Randomness Randomness and Probability Models. IPS Chapters 4 Sections

SOLUTIONS: 4.1 Probability Distributions and 4.2 Binomial Distributions

2. Three dice are tossed. Find the probability of a) a sum of 4; or b) a sum greater than 4 (may use complement)

STATISTICS HIGHER SECONDARY - SECOND YEAR. Untouchability is a sin Untouchability is a crime Untouchability is inhuman

Math/Stats 425 Introduction to Probability. 1. Uncertainty and the axioms of probability

Exam 3 Review/WIR 9 These problems will be started in class on April 7 and continued on April 8 at the WIR.

Formula for Theoretical Probability

Probability definitions

Assessment For The California Mathematics Standards Grade 6

Feb 7 Homework Solutions Math 151, Winter Chapter 4 Problems (pages )

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. C) (a) 2. (b) 1.5. (c)

University of California, Los Angeles Department of Statistics. Random variables

Chapter 3: DISCRETE RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS. Part 3: Discrete Uniform Distribution Binomial Distribution

2. Discrete random variables

13.0 Central Limit Theorem

(b) You draw two balls from an urn and track the colors. When you start, it contains three blue balls and one red ball.

PROBABILITY. Chapter. 0009T_c04_ qxd 06/03/03 19:53 Page 133

REPEATED TRIALS. The probability of winning those k chosen times and losing the other times is then p k q n k.

Section 5 Part 2. Probability Distributions for Discrete Random Variables

Probability. Sample space: all the possible outcomes of a probability experiment, i.e., the population of outcomes

Distributions. GOALS When you have completed this chapter, you will be able to: 1 Define the terms probability distribution and random variable.

AP STATISTICS 2010 SCORING GUIDELINES

STAT 319 Probability and Statistics For Engineers PROBABILITY. Engineering College, Hail University, Saudi Arabia

ECE-316 Tutorial for the week of June 1-5

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

7.S.8 Interpret data to provide the basis for predictions and to establish

Find the effective rate corresponding to the given nominal rate. Round results to the nearest 0.01 percentage points. 2) 15% compounded semiannually

Discrete Structures for Computer Science

Discrete Probability Distributions

Question of the Day. Key Concepts. Vocabulary. Mathematical Ideas. QuestionofDay

6.3 Conditional Probability and Independence

Transcription:

MA 116 - Chapter 5 Review Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Determine the possible values of the random variable. 1) Suppose that two balanced dice are rolled. Let X denote the absolute value of the difference of the two numbers. What are the possible values of the random variable X? ) For a randomly selected student in a particular high school, let Y denote the number of living grandparents of the student. What are the possible values of the random variable Y? Use random-variable notation to represent the event. 3) Suppose a coin is tossed four times. Let X denote the total number of tails obtained in the four tosses. Use random-variable notation to represent the event that the total number of tails is three. 4) Suppose that two balanced dice are rolled. Let Y denote the sum of the two numbers. Use random-variable notation to represent the event that the sum of the two numbers is at least 3 but less than 5. Obtain the probability distribution of the random variable. 5) When two balanced dice are rolled, 36 equally likely outcomes are possible as shown below. (1, 1) (1, ) (1, 3) (1, 4) (1, 5) (1, 6) (, 1) (, ) (, 3) (, 4) (, 5) (, 6) (3, 1) (3, ) (3, 3) (3, 4) (3, 5) (3, 6) (4, 1) (4, ) (4, 3) (4, 4) (4, 5) (4, 6) (5, 1) (5, ) (5, 3) (5, 4) (5, 5) (5, 6) (6, 1) (6, ) (6, 3) (6, 4) (6, 5) (6, 6) Let X denote the absolute value of the difference of the two numbers. Find the probability distribution of X. Give the probabilities as decimals rounded to three decimal places. Construct the requested histogram. 6) If a fair coin is tossed 4 times, there are 16 possible sequences of heads (H) and tails (T). Suppose the random variable X represents the number of heads in a sequence. Construct the probability distribution for X. Find the specified probability. 7) A statistics professor has office hours from 9:00 am to 10:00 am each day. The number of students waiting to see the professor is a random variable, X, with the distribution shown in the table. x 0 1 3 4 5 P(X = x) 0.05 0.10 0.40 0.5 0.15 0.05 The professor gives each student 10 minutes. Determine the probability that a student arriving just after 9:00 am will have to wait no longer than 0 minutes to see the professor. 1

Provide an appropriate response. 8) Which of the random variables described below is/are discrete random variables? The random variable X represents the number of heads when a coin is flipped 0 times. The random variable Y represents the number of calls received by a car tow service in a year. The random variable Z represents the weight of a randomly selected student. Evaluate the expression. 9) 11! 6! 10) 10 4 Solve the problem. 11) A coin is biased so that the probability it will come up tails is 0.43. The coin is tossed three times. Considering a success to be tails, formulate the process of observing the outcome of the three tosses as a sequence of three Bernoulli trials. Complete the table below by showing each possible outcome together with its probability. Display the probabilities to three decimal places. List the outcomes in which exactly two of the three tosses are tails. Without using the binomial probability formula, find the probability that exactly two of the three tosses are tails. Outcome Probability hhh (0.57)(0.57)(0.57) = 0.185 Find the indicated binomial probability. Be sure to follow the steps outlined below. 1. Identify a success. Determine the success probability, p. 3. Determine n, the number of trials. 4. Write the formula you will use to obtain the desired probability, for example P(X = 3) = 5 3 (0.3)3 (0.7) = 0.133. 1) What is the probability that 6 rolls of a fair die will show three fives? 13) In a certain college, 33% of the physics majors belong to ethnic minorities. If 10 students are selected at random from the physics majors, what is the probability that exactly belong to an ethnic minority? Find the indicated probability. 14) A test consists of 10 true/false questions. To pass the test a student must answer at least 6 questions correctly. If a student guesses on each question, what is the probability that the student will pass the test? 15) A machine has 7 identical components which function independently. The probability that a component will fail is 0.. The machine will stop working if more than three components fail. Find the probability that the machine will be working. 16) In one city, the probability that a person will pass his or her driving test on the first attempt is 0.65. 11 people are selected at random from among those taking their drving test for the first time. What is the probability that among these 11 people, the number passing the test is between and 4 inclusive?

17) In one city, the probability that a person will pass his or her driving test on the first attempt is 0.64. 11 people are selected at random from among those taking their drving test for the first time. What is the probability that among these 11 people, the number passing the test is between and 4 inclusive? Find the mean of the binomial random variable. 18) According to a college survey, % of all students work full time. Find the mean for the random variable X, the number of students who work full time in samples of size 16. 19) On a multiple choice test with 14 questions, each question has four possible answers, one of which is correct. For students who guess at all answers, find the mean for the random variable X, the number of correct answers. Find the standard deviation of the binomial random variable. 0) According to a college survey, % of all students work full time. Find the standard deviation for the random variable X, the number of students who work full time in samples of size 16. 1) A die is rolled times and the number of twos that come up is tallied. If this experiment is repeated many times, find the standard deviation for the random variable X, the number of twos. Find the specified probability distribution of the binomial random variable. ) A multiple choice test consists of four questions. Each question has five possible answers of which only one is correct. A student guesses on every question. Find the probability distribution of X, the number of questions she answers correctly. Construct a probability histogram for the binomial random variable, X. 3) Two balls are drawn at random, with replacement, from a bag containing 4 red balls and blue balls. X is the number of blue balls drawn. Provide an appropriate response. 4) A bag contains 6 red marbles and 9 green marbles. Anne picks 3 marbles at random, with replacement, and observes the color of each marble. The number of green marbles, X, is a binomial random variable. If we let success correspond to getting a green marble, what is the success probability, p? What is the number of trials? 3

Answer Key Testname: CHAPTER5.TST 1) Answer: 0, 1,, 3, 4, 5 ) Answer: 0, 1,, 3, 4 3) Answer: {X = 3} 4) Answer: {3 Y < 5} 5) Answer: 6) Answer: x P(X = x) 0 0.167 1 0.78 0. 3 0.167 4 0.111 5 0.056 7) Answer: 0.55 8) Answer: X and Y 9) Answer: 55,440 10) Answer: 10 11) Answer: Each trial consists of observing whether the coin comes up heads or tails. There are two possible outcomes, heads or tails. The trials are independent. If we consider tails to be success, the success probability is p = 0.43. Outcome Probability hhh (0.57)(0.57)(0.57) = 0.185 hht (0.57)(0.57)(0.43) = 0.140 hth (0.57)(0.43)(0.57) = 0.140 htt (0.57)(0.43)(0.43) = 0.105 thh (0.43)(0.57)(0.57) = 0.140 tht (0.43)(0.57)(0.43) = 0.105 tth (0.43)(0.43)(0.57) = 0.105 ttt (0.43)(0.43)(0.43) = 0.080 htt, tht, tth; 0.316 1) Answer: A success is obtaining a five. p = 1 6 n = 6 P(X = 3) = 6 3 ( 1 3 6 ) ( 5 3 6 ) = 0.0536 1

Answer Key Testname: CHAPTER5.TST 13) Answer: A success is that a person belongs to an ethnic minority. p = 0.33 n = 10 10 P(X = ) = (0.33) (0.67) 8 = 0.1990 14) Answer: 0.377 15) Answer: 0.967 16) Answer: 0.0499 17) Answer: 0.0579 18) Answer: 3.5 19) Answer: 3.5 0) Answer: 1.66 1) Answer: 1.748 ) Answer: 3) Answer: x P(X = x) 0 0.4096 1 0.4096 0.1536 3 0.056 4 0.0016 4) Answer: p = 3 5, n = 3