Math 14 Lecture Notes Ch. 3.3

Similar documents
Grade 6 Math Circles Fall Oct 14/15 Probability

4.1 Sample Spaces and Events

INDEPENDENT AND DEPENDENT EVENTS UNIT 6: PROBABILITY DAY 2

November 6, Chapter 8: Probability: The Mathematics of Chance

Independent and Mutually Exclusive Events

Such a description is the basis for a probability model. Here is the basic vocabulary we use.

7.1 Experiments, Sample Spaces, and Events

Math Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5.

Math Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5.

Key Concepts. Theoretical Probability. Terminology. Lesson 11-1

7 5 Compound Events. March 23, Alg2 7.5B Notes on Monday.notebook

Intermediate Math Circles November 1, 2017 Probability I

Probability of Independent and Dependent Events. CCM2 Unit 6: Probability

Review of Probability

Mathematical Foundations HW 5 By 11:59pm, 12 Dec, 2015

November 8, Chapter 8: Probability: The Mathematics of Chance

Probability and Statistics. Copyright Cengage Learning. All rights reserved.

Unit 6: Probability. Marius Ionescu 10/06/2011. Marius Ionescu () Unit 6: Probability 10/06/ / 22

Unit 6: Probability. Marius Ionescu 10/06/2011. Marius Ionescu () Unit 6: Probability 10/06/ / 22

Probability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College

Grade 7/8 Math Circles February 25/26, Probability

4.1 What is Probability?

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

Define and Diagram Outcomes (Subsets) of the Sample Space (Universal Set)

Week 3 Classical Probability, Part I

Lesson 3 Dependent and Independent Events

c. If you roll the die six times what are your chances of getting at least one d. roll.

More Probability: Poker Hands and some issues in Counting

4.3 Rules of Probability

Probability. Ms. Weinstein Probability & Statistics

Probably About Probability p <.05. Probability. What Is Probability? Probability of Events. Greg C Elvers

Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules

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

Classical vs. Empirical Probability Activity

A Probability Work Sheet

n(s)=the number of ways an event can occur, assuming all ways are equally likely to occur. p(e) = n(e) n(s)

Section 6.1 #16. Question: What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit?

Simple Probability. Arthur White. 28th September 2016

1. Theoretical probability is what should happen (based on math), while probability is what actually happens.

Dependence. Math Circle. October 15, 2016

1MA01: Probability. Sinéad Ryan. November 12, 2013 TCD

4. Are events C and D independent? Verify your answer with a calculation.

Bell Work. Warm-Up Exercises. Two six-sided dice are rolled. Find the probability of each sum or 7

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

M146 - Chapter 5 Handouts. Chapter 5

Probability. Dr. Zhang Fordham Univ.

Chapter 1. Probability

The probability set-up

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

Class XII Chapter 13 Probability Maths. Exercise 13.1

Multiplication and Probability

3 The multiplication rule/miscellaneous counting problems

Chapter 8: Probability: The Mathematics of Chance

Total. STAT/MATH 394 A - Autumn Quarter Midterm. Name: Student ID Number: Directions. Complete all questions.

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

Chapter 1: Sets and Probability

Elementary Statistics. Basic Probability & Odds

Here are other examples of independent events:

(a) Suppose you flip a coin and roll a die. Are the events obtain a head and roll a 5 dependent or independent events?

Math 1342 Exam 2 Review

The probability set-up

Chapter 11: Probability and Counting Techniques

Probability - Chapter 4

Probability: Terminology and Examples Spring January 1, / 22

3 The multiplication rule/miscellaneous counting problems

Section : Combinations and Permutations

MATHEMATICS E-102, FALL 2005 SETS, COUNTING, AND PROBABILITY Outline #1 (Probability, Intuition, and Axioms)

Section Introduction to Sets

Probability Review 41

Probability Rules. 2) The probability, P, of any event ranges from which of the following?

APPENDIX 2.3: RULES OF PROBABILITY

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

Probability Test Review Math 2. a. What is? b. What is? c. ( ) d. ( )

12.6. Or and And Problems

Chapter 4: Probability and Counting Rules

7.1 Chance Surprises, 7.2 Predicting the Future in an Uncertain World, 7.4 Down for the Count

Chapter 1. Probability

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

Textbook: pp Chapter 2: Probability Concepts and Applications

Outcomes: The outcomes of this experiment are yellow, blue, red and green.

Introduction to probability

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

CHAPTER 6 PROBABILITY. Chapter 5 introduced the concepts of z scores and the normal curve. This chapter takes

Probability. The Bag Model

ABC High School, Kathmandu, Nepal. Topic : Probability

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

2.5 Sample Spaces Having Equally Likely Outcomes

The study of probability is concerned with the likelihood of events occurring. Many situations can be analyzed using a simplified model of probability

Empirical (or statistical) probability) is based on. The empirical probability of an event E is the frequency of event E.

November 11, Chapter 8: Probability: The Mathematics of Chance

Statistics Intermediate Probability

Exam III Review Problems

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

5.6. Independent Events. INVESTIGATE the Math. Reflecting

UNIT 4 APPLICATIONS OF PROBABILITY Lesson 1: Events. Instruction. Guided Practice Example 1

Probability is the likelihood that an event will occur.

Section The Multiplication Principle and Permutations

Statistics 1040 Summer 2009 Exam III

PROBABILITY. 1. Introduction. Candidates should able to:

CHAPTER 7 Probability

Transcription:

3.3 Two Basic Rules of Probability If we want to know the probability of drawing a 2 on the first card and a 3 on the 2 nd card from a standard 52-card deck, the diagram would be very large and tedious to draw. Fortunately, we have a formula that we can use to determine the probability of two events instead: Multiplication Rule P(A and B) = P(A) P(B A) Recall from section 3.1, the following definition and notation for conditional probability: g The conditional probability of an event B with respect to event A is the probability that event B occurs after A has already occurred, denoted P(B A). Recall from section 3.2, the probability experiment in which two cards were drawn from a set of cards marked 1, 2, and 3. A = {the 1 st card is a 1 } and B = {the 2 nd card is a 2 } With replacement Without replacement P(A and B) = 1 9 P(A and B) = 1 6 We found these probabilities by counting the number of desired outcomes in the sample space for each. We can instead apply the formula from above. Independent Events Two cards drawn with replacement Dependent Events Two cards drawn without replacement 1 st card S ={1, 2, 3} P(A) = 1 3 1 st card S ={1, 2, 3} P(A) = 1 3 2 nd card S ={1, 2, 3} P(B A) = 1 3 2 nd card S ={2, 3} P(B A) = 1 2 P(A and B) = P(A) P(B A) = 1 3 1 3 = 1 9 P(A and B) = P(A) P(B A) = 1 3 1 2 = 1 6 Notice that for independent events: P(B A) = P(B) Page 1 of 6

Demonstration Problems 1. (a) Find the probability that a randomly chosen family has exactly 2 sons. Practice Problems 1. (b) Find the probability that a student correctly guesses both questions on a twoquestion true-false quiz. A coin is flipped and a card is drawn from a standard 52-card deck. A = {head}, B = {tail}, C = {hearts}, D = {queens} 2. (a) P(A and C) = A coin is flipped and a six-sided die is rolled A = {head}, B = {tail}, C = {even numbers}, D = {3} 2. (b) P(A and C) = 3. (a) P(A and D) = 3. (b) P(A and D) =. (a) P(B and D) =. (b) P(B and D) = 5. (a) Suppose the probability that an airplane's primary electrical system will work is.99 and the probability that it's secondary back-up system works is.98. Find the probability that both will fail. 5. (b) An automobile salesperson finds the probability of making a sale is 0.21. If she talks to customers, find the probability she will make sales. 6. (a) A coin is tossed 5 times. What is the probability of getting at least one tail? Hint: P(no tails) + P(at least one tail) = 1 6. (b) A true-false quiz has questions. What is the probability of correctly guessing at least one question? Answers: 1. (b) 1 ; 2. (b) P (A and C) = 1 ; 3. (b) P (A and D) = 1 ;. (b) P (B and D) = 12 1 ; 5. (b) 0.002; 6. (b) 15 12 16 Page 2 of 6

Demonstration Problems Two cards are drawn randomly from a standard 52- card deck without replacement. A = {kings} B = {hearts} C = {black cards} Let A 1 denote A on the first card and A 2 denote A on the second card. We will use this subscript notation for sets B and C as well. 7. (a) P(A 1 ) = P(A 2 A 1 ) = Practice Problems Two cards are drawn randomly from a standard 52- card deck without replacement. A = {aces} B = {queens} C = {red cards} Let A 1 denote A on the first card and A 2 denote A on the second card. We will use this subscript notation for sets B and C as well. 7. (b) P(A 1 ) = P(B 2 A 1 ) = 8. (a) P(A 1 and A 2 ) = 8. (b) P(A 1 and B 2 ) = 9. (a) P(B 1 ) = P(B 2 B 1 ) = 9. (b) P(C 1 ) = P(C 2 C 1 ) = 10. (a) P(B 1 and B 2 ) = 10. (b) P(C 1 and C 2 ) = Answers: 7. (b) ; 8. (b) 51 ; 9. (b) 25 ; 10. (b) 663 51 25 102 Older sister Gabriela Salgueiro was born on Dec. 31, 20, at 11:52 p.m., weighing 6 pounds, 6 ounces. Younger twin Sophia Salgueiro was born on Jan. 1, 201, at 12:00:38 a.m., weighing 5 pounds, ounces. What is the probability of identical twins having birthdays in separate years? Although many factors influence the timing of birthdates, we can find an approximate probability by using the following information. 1. The probability of conceiving twins is 1/30. 2. Full-term twins are usually born within minutes of each other, but could be born up to an hour apart. Page 3 of 6

Now, let s recall the example from section 3.2 in which a single card was drawn from a standard deck of 52-cards. Let A = {aces}, B = {kings}, C = {hearts} By counting cards in the sample spaces, we found that P(A or B) = 2 and P(B or C) = When the sample space is very large, listing all outcomes of the event space and sample space to find the probability of an event could be unreasonable at best, impossible at worst. Fortunately, again, we have a formula we can use instead. Addition Rule P(A or B) = P(A) + P(B) P(A and B) Returning to our examples above: Mutually exclusive events: A 2 3 5 6 7 8 9 10 J Q K A 2 3 5 6 7 8 9 10 J Q K A 2 3 5 6 7 8 9 10 J Q K A 2 3 5 6 7 8 9 10 J Q K Non-mutually exclusive events: A 2 3 5 6 7 8 9 10 J Q K A 2 3 5 6 7 8 9 10 J Q K A 2 3 5 6 7 8 9 10 J Q K A 2 3 5 6 7 8 9 10 J Q K A ={ A, A, A, A } P(A) = 52 = 1 B = { K, K, K, K } P(B) = 52 = 1 B = { K, K, K, K } P(B) = 52 = 1 C = { A, 2, 3,, 5, 6, 7, 8, 9, 10, J, Q, K } P(C) = 52 = P(A and B) = 0 P(B and C) = 1 52 P(A or B) = P(A) + P(B) P(A and B) = 52 + 52 0 = 8 52 = 2 P(B or C) = P(B) + P(C) P(B and C) = 52 + 52 1 52 = 16 52 = Notice that for mutually exclusive events, P(A and B) = 0. Page of 6

Demonstration Problems A single card is drawn randomly from a standard 52-card deck. A = {kings} B = {queens} C = {hearts} 11. (a) P(A or B) = Practice Problems A single card is drawn randomly from a standard 52-card deck. A = {aces} B = {red cards} C = {face cards} 11. (b) P(A or B) = 12. (a) P(A or C) = 12. (b) P(A or C) =. (a) P(B or C) =. (b) P(B or C) = Answers: 11. (b) 7 ; 12. (b) ;. (b) 8 Blackjack A blackjack is a 2-card hand in which one card is a 10, jack, queen, or king and the other card is an ace. Find the probability of being dealt a blackjack. Let A = { A, A, A, A } Let B = {10, 10, 10, 10, J, J, J, J, Q, Q, Q, Q, K, K, K, K } P(A 1 and B 2 ) + P(B 1 and A 2 ) = P(A 1 ) P(B 2 A 1 ) + P(B 1 ) P(A 2 B 1 ) = A Blackjack dealer must turn his/her second card face up. What is the probability that the dealer has a Blackjack if the face up card is an ace? Page 5 of 6

Birthday Problem January February March April May June July August September October November December Find the probability that 2 students have the same birthday in this class. Hint: P(no matches) + P(at least one match) = 1 Page 6 of 6