24 Random Questions (to help with Exam 1)

Similar documents
Definition and Calculus of Probability

Math 3C Homework 3 Solutions

Statistics 100A Homework 2 Solutions

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

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

6.3 Conditional Probability and Independence

Hoover High School Math League. Counting and Probability

Chapter 4 Lecture Notes

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

Probabilistic Strategies: Solutions

Section 6.2 Definition of Probability

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

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

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

8.3 Probability Applications of Counting Principles

Lecture Note 1 Set and Probability Theory. MIT Spring 2006 Herman Bennett

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

AP Stats - Probability Review

Fundamentals of Probability

Section 6-5 Sample Spaces and Probability

1 Combinations, Permutations, and Elementary Probability

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

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.

Chapter 5 A Survey of Probability Concepts

A Few Basics of Probability

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

For a partition B 1,..., B n, where B i B j = for i. A = (A B 1 ) (A B 2 ),..., (A B n ) and thus. P (A) = P (A B i ) = P (A B i )P (B i )

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

EXAM. Exam #3. Math 1430, Spring April 21, 2001 ANSWERS

Chapter 4 - Practice Problems 1

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

Mind on Statistics. Chapter 8

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

Notes on Continuous Random Variables

WHERE DOES THE 10% CONDITION COME FROM?

E3: PROBABILITY AND STATISTICS lecture notes

Bayesian Tutorial (Sheet Updated 20 March)

Factory example D MA ND 0 MB D ND

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.

Section 6.4: Counting Subsets of a Set: Combinations

Sample Term Test 2A. 1. A variable X has a distribution which is described by the density curve shown below:

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

Solutions for Review Problems for Exam 2 Math You roll two fair dice. (a) Draw a tree diagram for this experiment.

Practice Problems for Homework #8. Markov Chains. Read Sections Solve the practice problems below.

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

Methods Used for Counting

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

Probability definitions

Discrete Mathematics and Probability Theory Fall 2009 Satish Rao, David Tse Note 13. Random Variables: Distribution and Expectation

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

Remarks on the Concept of Probability

PROBABILITY. SIMPLE PROBABILITY is the likelihood that a specific event will occur, represented by a number between 0 and 1.

Pr(X = x) = f(x) = λe λx

WORKED EXAMPLES 1 TOTAL PROBABILITY AND BAYES THEOREM

Math Compute C(1000,2) (a) (b) (c) 2. (d) (e) None of the above.

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

Mental Questions. Day What number is five cubed? 2. A circle has radius r. What is the formula for the area of the circle?

Section Probability (p.55)

Chapter 5 - Practice Problems 1

AMS 5 CHANCE VARIABILITY

Decision Making Under Uncertainty. Professor Peter Cramton Economics 300

AP STATISTICS TEST #2 - REVIEW - Ch. 14 &15 Period:

Lab 11. Simulations. The Concept

Review for Test 2. Chapters 4, 5 and 6

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

Sums of Independent Random Variables

Section 6.1 Discrete Random variables Probability Distribution

Math Quizzes Winter 2009

Statistics 100A Homework 3 Solutions

The sample space for a pair of die rolls is the set. The sample space for a random number between 0 and 1 is the interval [0, 1].

Bayesian Updating with Discrete Priors Class 11, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

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

MAS108 Probability I

Homework 20: Compound Probability

36 Odds, Expected Value, and Conditional Probability

Week 2: Conditional Probability and Bayes formula

Statistics 2014 Scoring Guidelines

The mathematical branch of probability has its

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

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

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

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

Joint Exam 1/P Sample Exam 1

Basics of Counting. The product rule. Product rule example. 22C:19, Chapter 6 Hantao Zhang. Sample question. Total is 18 * 325 = 5850

Chapter 5 Section 2 day f.notebook. November 17, Honors Statistics

SAT Math Facts & Formulas Review Quiz

Chapter 4: Probability and Counting Rules

NF5-12 Flexibility with Equivalent Fractions and Pages

Some special discrete probability distributions

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

SOLUTIONS: 4.1 Probability Distributions and 4.2 Binomial Distributions

Poker Probability from Wikipedia. Frequency of 5-card poker hands % % 72, : 1

Random Variables. Chapter 2. Random Variables 1

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

Topic : Probability of a Complement of an Event- Worksheet 1. Do the following:

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

Homework 4 - KEY. Jeff Brenion. June 16, Note: Many problems can be solved in more than one way; we present only a single solution here.

A probability experiment is a chance process that leads to well-defined outcomes. 3) What is the difference between an outcome and an event?

IAM 530 ELEMENTS OF PROBABILITY AND STATISTICS INTRODUCTION

Assessment For The California Mathematics Standards Grade 6

Transcription:

4 Random Questions (to help with Exam ). State the binomial theorem: See p.. The probability that rain is followed by rain is 0.8, a sunny day is followed by rain is 0.6. Find the probability that one has two rainy days then two sunny days. To get this, we must have had rain after rain, P (R R), then sun after rain, P (S R), then rain after sun, P (R S). In the text, P (R R) = 0.8, P (R S) = 0.6. This gives P (S R) = 0. (and P (S S) = 0.4 Therefore, 0.8 0. 0.6 = 0.096 or about 9.6%.. Let X be a discrete random variable. Define f, the probability distribution for X. If we have a candidate function f, how do we know if it is a suitable function (there are two conditions that f must satisfy)? See p. 74 4. How do we compute the following quantity: ( ) 7,, Come up with a question (that is counting something) for which this was the answer. Seven flags, red, blue, green: This is the number of ways to arrange them. 5. Let: f(x) = k x, for x =, 0,, Find k so that f is a probability distribution function. Done in class. 6. A balanced die is tossed twice. Let A be the event that an even number comes up on the first toss. Let B be the event that an even number comes up on the second. Let C be the event that the first two tosses gave the same number. Are A, B, C pairwise independent independent? To verify our work, we could simply list the possibilities: 4 5 6 4 5 6 4 5 6 4 4 4 44 45 46 5 5 5 54 55 56 6 6 6 64 65 66 From this, P (A) = P (B) = and P (C) = 6. Are A, B, C pairwise independent? To check, we will need P (A B) = 9/6 = /4, P (A C) = /6 = /, P (B C) = /. Given these, it is easy to see that A, B, C are pairwise independent.

The three sets are not independent, however, since P (A)P (B)P (C) = 4 But A B C takes out of 6, so the probability is /. 7. Find the sample mean, median and variance: {0,,,, 4, 5} (NOTE: I won t ask you to do much computation on the exam, since you won t have your calculator- But you should recall the formulas). 8. State Bayes Theorem. See page 49-50. 9. If A, B are independent prove that A and B are independent. SOLUTION: (Exercise.): In this case, show that P (A B ) = P (A )P (B ) We might be able to do this straight off: P (A B ) = P ((A B) ) M.E. sets = P (A B) = (P (A) + P (B) P (A B) = P (A) P (B) + P (A)P (B) Indep of A, B = ( P (A)) P (B)( P (A)) = P (A )P (B ) 0. Show (with some sample numbers) that P (B A) + P (B A ) may or may not be equal to. Prove that P (A B) + P (A B) =. Done in class (most random assignments for numbers will disprove the first statement). In a poker game, 5 cards are dealt from a deck of 5. What is the probability of getting a four-of-a-kind? our of a kind means four s or four s, etc. Set this up as a sequence of operations: First, decide on what the four-of-a-kind will be: choices. Next, how many ways can the four cards be chosen? way Finally, how many ways can the last card be chosen? 48 ways. Thus, the probability is: 48 ( 5 ) = 465 5. How many ways can a college team playing 0 games end up with 5 wins, 4 losses and a tie? ( ) 0 5, 4,. A carton contains 5 light bulbs of which one is defective. In how many ways can you choose of the bulbs and: In how many ways can you choose of the bulbs and:

(a) Get the one that is defective? To get the defective one, we had to choose bulbs from the 4 good (then choose the defective): ( ) 4 (b) Not get the one that is defective? We would have to choose all three from the good bulbs, ( ) 4 (c) Find the probability of choosing the defective bulb? (Sorry this might not have been clear: We re still choosing three bulbs- otherwise, it would be /5!) The probability of choosing the defective bulb is the number of ways of selecting it, divided by the number of ways of selecting all the bulbs: ( 4 ) ( 5 4. Given that 8% of the population has diabetes, a health department comes in and gives tests. It correctly diagnoses 95% of all persons with diabetes as having the disease, and incorrectly diagnoses % of all persons without diabetes as having the disease. (a) Find the probability that the health department will diagnose someone in the population as having the disease. (b) Find the probability that someone diagnosed by the health department as having the disease actually has it. SOLUTION: Some translations (Use these to label a tree diagram): 8 percent of all adults over 50 have diabetes: P (B ) = 0.9). P (B) = 0.08 (so The health service correctly diagnoses 95 percent of all persons with the disease: P (A B) = 0.95 It incorrectly diagnoses percent of people without the disease as having it: P (A B ) = 0.0 The first part of the question: What is the probability that the health service will diagnose blah blah blah: P (A)... Recall that in the tree diagram, sum down the right side: P (A) = (0.08)(0.95) + (0.9)(0.0) = 0.0944 In the second part, A person diagnosed actually has the disease is P (B A) P (B A) = P (A B) P (A) = P (B)P (A B) 0.0944 = 0.08 0.95 0.0944 = 0.805 5. Define what it means to say that X is a random variable. See page 70 6. Let X be a random variable. Define what the cumulative distribution function, F (x) is. See page 77 7. Experiment: Roll three standard dice. Observe the outcomes. (a) How many ways can the three dice all come up with the same number of points?

(b) How many ways can two of the three come up with the same number, but the third die is different? (c) How many ways can all three dice come up with different numbers? SOLUTION: (Exercise.0): (a) One way for each triple. 6 ways. (b) If we fix the first, there are 5 ways for the other two dice to be the same (but different than the first). Thus, there are 6 5 = 0 ways. (c) To get all possible different valued triples, we could take: 6 5 4. However, order does not matter, so divide by! to get 0. x 8. Verify that f(x) = for x =,,,... k can serve as the probability distribution of a random variable with the given k(k + ) range. Done in class. 9. We have two men and four women making up a committee of three. What is the probability of choosing no men? one man? two men? ) ) ) ( 0 ( ( ) = 5 Can you come up with a probability distribution function (PDF) for this using binomials? (see previous) ( 4 ) f(x) = x)( x, x = 0,, ) 0. How many ways can a bakery distribute its 7 unsold apple pies to 4 food banks? How does this change if every food bank must get at least one? SOLUTION (.55,.56) Think of the loaves of bread and bars problem from the homework. In this case, we have 7 A s (for apple pie) and vertical bars. For example, A AA AAA A represents pie to bank, to bank, three to bank and to bank 4. This is just counting the ways of putting these symbols together: ( ) 0 = 0! 7, 7!! If every food bank must get one pie, you can reserve 4 pies (one for each), and arrange the remaining three pies among the 4 food banks (again using three vertical bars): ( ) 6 = 6!,!!. If I have four skirts, seven blouses and three sweaters, how many ways can I pick skirts, three blouses and one sweater to take along on a trip? By the multiplication rule, ( ) 4 ( ) 7 ( ) = 60 4

. Two cards are randomly drawn from a deck of 5. Find the probability that both cards will be greater than and less than 8. First, how many cards represent a successful outcome? There are 6 cards (4-7 inclusive, each has 4 suits). Therefore, the probability is 6/5 for the first draw, and 5/5 for the second.. List the three axioms (or postulates) that define the probability of an event. You may assume that you have a sample space S, and A, A, A, A,... are events in S See page 0 4. On Snoqualmie Pass, the probabilities are 0. and 0.4 that a truck stopped at the weigh station will have faulty brakes or badly worn tires (respectively). Also, the probability is 0.8 that a truck stopped will have faulty brakes and/or badly worn tires. What is the probability that a truck stopped will have faulty brakes as well as badly worn tires? This is Example on p. 7 5