Lesson 1. Basics of Probability. Principles of Mathematics 12: Explained! www.math12.com 314



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

Chapter 4 - Practice Problems 1

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

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

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

Bayesian Tutorial (Sheet Updated 20 March)

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

V. RANDOM VARIABLES, PROBABILITY DISTRIBUTIONS, EXPECTED VALUE

Basic Probability. Probability: The part of Mathematics devoted to quantify uncertainty

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

Basic Probability Theory II

Chapter 4 - Practice Problems 2

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

Math 3C Homework 3 Solutions

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

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

AP Stats - Probability Review

Probabilistic Strategies: Solutions

Statistics 100A Homework 2 Solutions

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

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

Fundamentals of Probability

36 Odds, Expected Value, and Conditional Probability

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

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

Formula for Theoretical Probability

Probability and Venn diagrams UNCORRECTED PAGE PROOFS

Chapter 5 A Survey of Probability Concepts

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)

Hoover High School Math League. Counting and Probability

Homework 20: Compound Probability

Session 8 Probability

Curriculum Design for Mathematic Lesson Probability

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

The study of probability has increased in popularity over the years because of its wide range of practical applications.

Section 6.2 Definition of Probability

Probability definitions

Definition and Calculus of Probability

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

Ch. 13.3: More about Probability

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

Section 7C: The Law of Large Numbers

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

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

6.3 Conditional Probability and Independence

Decision Making Under Uncertainty. Professor Peter Cramton Economics 300

STAT 35A HW2 Solutions

Chapter 4: Probability and Counting Rules

Section 6-5 Sample Spaces and Probability

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

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

1 Combinations, Permutations, and Elementary Probability

Probabilities of Poker Hands with Variations

Coin Flip Questions. Suppose you flip a coin five times and write down the sequence of results, like HHHHH or HTTHT.

Introduction to Probability

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

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

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

Poker. 10,Jack,Queen,King,Ace. 10, Jack, Queen, King, Ace of the same suit Five consecutive ranks of the same suit that is not a 5,6,7,8,9

MATH 140 Lab 4: Probability and the Standard Normal Distribution

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

Chapter 3. Probability

Probability of Compound Events

MATHEMATICS 154, SPRING 2010 PROBABILITY THEORY Outline #3 (Combinatorics, bridge, poker)

Homework 3 Solution, due July 16

Homework Assignment #2: Answer Key

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

Lesson Plans for (9 th Grade Main Lesson) Possibility & Probability (including Permutations and Combinations)

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

Probability & Probability Distributions

Unit 19: Probability Models

Year 9 mathematics: holiday revision. 2 How many nines are there in fifty-four?

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

High School Statistics and Probability Common Core Sample Test Version 2

Math 55: Discrete Mathematics

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics

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.

2.5 Conditional Probabilities and 2-Way Tables

Remarks on the Concept of Probability

In the situations that we will encounter, we may generally calculate the probability of an event

Probability Review Solutions

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

Chapter 7 Probability and Statistics

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

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

Hooray for the Hundreds Chart!!

Random variables, probability distributions, binomial random variable

Grade 6 Math Circles Mar.21st, 2012 Probability of Games

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

That s Not Fair! ASSESSMENT #HSMA20. Benchmark Grades: 9-12

Ready, Set, Go! Math Games for Serious Minds

A Few Basics of Probability

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

Mathematical goals. Starting points. Materials required. Time needed

Baseball Multiplication Objective To practice multiplication facts.

ECE302 Spring 2006 HW1 Solutions January 16,

Opposites are all around us. If you move forward two spaces in a board game

6th Grade Lesson Plan: Probably Probability

Betting systems: how not to lose your money gambling

Activities/ Resources for Unit V: Proportions, Ratios, Probability, Mean and Median

Transcription:

Lesson 1 Basics of Probability www.math12.com 314

Sample Spaces: Probability Lesson 1 Part I: Basic Elements of Probability Consider the following situation: A six sided die is rolled The sample space refers to the complete set of all possible outcomes. In the case of rolling a die, the sample space is 1, 2, 3, 4, 5, or 6. Sample spaces are often represented using tree diagrams or charts. Example 1: A coin is flipped three times. Illustrate the sample space using a tree diagram. Step 1: Start the tree diagram by vertically indicating the two possible results from the first flip. (In this case, heads or tails.) Step 2: Continue the tree diagram by connecting all possibilities for the second flip. Step 3: Finish the tree diagram by connecting all possibilities for the third flip. The sample space for this experiment is: HHH HHT HTH HTT THH THT TTH TTT There are 8 possible outcomes www.math12.com 315

Part I: Basic Elements of Probability Example 2: Two dice are rolled, and the sum is recorded. Illustrate the sample space in a chart. Step 1: Start the chart as shown below: Step 2: Fill in the sums. The sample space for the sum of two dice is {2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12} The chart form is useful for large amounts of data since it allows for easy reading. The situation above could be expressed as a tree diagram, but it would be more cumbersome. Sample spaces are useful in quickly determining the number of particular outcomes in an experiment. Example: If you roll two dice and want to know how many possible outcomes have a sum of seven, the chart above can be used very quickly to see there are six possible outcomes. www.math12.com 316

Part I: Basic Elements of Probability Basic Probability: The formula for basic probability is Favorable Outcomes P( event ) = Total Number of Possible Outcomes Example 3: A coin is flipped, then a card is randomly drawn from a deck of 52 cards. a) Determine the probability of flipping a head, then pulling a diamond. b) Determine the probability of flipping a head, then pulling a diamond or a heart. a) Step 1: Start by drawing the sample space: Step 2: Now apply the above formula. There is only one favorable outcome out of 8 possible outcomes. 1 P ( Head, Diamond ) = 8 b) Using the sample space above, there are two favorable outcomes out of eight. Favorable Cases 2 1 P ( Head, Diamond or Head, Heart) = = = Total Cases 8 4 Adding Probabilities: The probability of A or B, if the events are mutually exclusive, may be found by adding the individual probabilities. P( A or B ) =P( A ) +P( B ) Example 4: Two fair six-sided die are rolled and the sum is recorded. If the probability of rolling a sum greater than 10 is 0.083, and the probability of rolling a sum less than 5 is 0.167, what is the probability of rolling a sum greater than 10 or a sum less than 5? The probability of rolling a sum greater than 10 is 0.083 The probability of rolling a sum less than 5 is 0.167 The probability of getting the first case or the second case is 0.083 + 0.167 = 0.25 The phrase mutually exclusive means that one event taking place prevents the other event from taking place. Example 1: Flipping a coin gives mutually exclusive outcomes since you can t get heads and tails at the same time. Example 2: The outcomes of tossing a six-sided die are mutually exclusive since no two results can occur at the same time. www.math12.com 317

Part I: Basic Elements of Probability Multiplying Probabilities: The probability of A & B, if the events are independent, may be found by multiplying the individual probabilities. ( ) ( ) P( B) P A and B =P A Two events are independent if the outcome of one event does not change the probability of the second event occurring. Example: A student tosses a six-sided die and gets a 3, then re-tosses and gets a 5. The two events do not influence each other in any way, so they are independent events. Example 5: A coin is flipped, then a card is randomly drawn from a deck of 52 cards. If the probability of flipping a head is 0.5, and the probability of drawing a diamond is 0.25, then determine the probability of obtaining a head and a diamond. Use a tree diagram and state the given probabilities. ( ) = ( ) ( ( ) = 0.5 0.25 P Head and Diamond P Head P Diamond P Head and Diamond ( ) P Head and Diamond 1 = 0.125 = 8 ) The Complement: Probabilities of mutually exclusive events add up to one. Consider a coin: The probability of getting a head is 0.5, and getting a tail is 0.5. There is a 100% chance of getting a head or a tail when you flip a coin, so the total probability is 1. Suppose you now have a weighted (trick) coin, such that the probability of getting a head is 0.43 To calculate the probability of getting a tail, just subtract the given probability from 1. 0.57 is the compliment probability P ( A) The expression above is another way of writing the complement. The dash above the A tells you to calculate the probability it s NOT A Example: If P( A) = 0.65, calculate P( A ) P P P ( A) =1-P( A) ( A) =1-0.65 ( A) =0.35 www.math12.com 318

Part I: Basic Elements of Probability Example 6: A trick (weighted) coin is altered so the probability of it landing on a head for each flip is 5/7. a) The trick coin is flipped 3 times. What is the probability of getting a tail on the first flip and heads on the next two flips? Probability of getting a head = 5 7 5 2 Probability of getting a tail = 1- = 7 7 b) If the trick coin is flipped until two tails appear, what is the probability that the second tail will appear in three flips? Think of this question as follows: What elements in the sample space will have two tails, one of which must be on the third flip? The answer is that you can have HTT or THT, since both of these will have the second tail come up on the third toss. Once you find the probability of each event occurring, add the results to get the total probability. Example 7: A fair six-sided die is tossed twice. What is the probability the first toss will be a number greater than (or equal to) 3, and the second toss will a number less than 3? The probability of getting a 3, 4, 5, or 6 is The probability of getting a 1 or 2 is 4 2 6 3 2 1 6 3 2 1 2 Multiply the probabilities to get = 3 3 9 www.math12.com 319

Questions: Probability Lesson 1 Part I: Basic Elements of Probability 1) Two six-sided dice are rolled and the sum is recorded. Determine the probability of obtaining: a) a sum greater than 8 b) a sum less than 6 c) a sum greater than 8 or less than 6 d) a sum greater than 8 and less than 6 2) A card is drawn from a deck of 52 cards. Determine the probability of drawing: a) the six of clubs or the eight of hearts. Quick Card Facts: b) the six of clubs or a heart. c) a black card or a diamond There are 52 cards in a deck with the jokers removed. There are 26 black cards and 26 red cards. There are 4 suits: Spades, Clubs, Hearts, and Diamonds. d) a nine of any suit Each suit has 13 cards of different rank. e) a black or red card Face cards are Jacks, Queens, and Kings. 3) There are 3 red & 2 yellow balls in one bag, and 6 blue & 7 green balls in a second bag. What is the probability of pulling a yellow ball from the first bag, and then a green ball from the second bag? 4) A fair coin is flipped three times. What is the probability of getting two heads and then a tail? 5) A trick coin (where the probability of getting a head is 3/4), is flipped three times. What is the probability of getting exactly two heads such that the second head will appear on the third flip? 6) A fair six-sided die is tossed twice. What is the probability the first toss will be a number less than 3, and the second toss will a number greater than 3? www.math12.com 320

Part I: Basic Elements of Probability Answers: 1. 10 5 a) 36 18 10 5 b) 36 18 3. The probability of pulling a yellow ball from favorable cases 2 the first bag is = total cases 5 The probability of pulling a green ball from favorable cases 7 the second bag is = total cases 13 5 5 10 5 c) + = 18 18 18 9 d) Zero You can t have two different sums at the same time! 2. 1 1 2 1 a) + = 52 52 52 26 1 13 14 7 b) + = 52 52 52 26 26 13 39 3 c) + = 52 52 52 4 4 1 d) 52 13 26 26 52 e) + = 1 52 52 52 4. 5. What this question is basically saying is that you can have HTH or THH, since both of these will have the second tail come up on the third toss. 6. 2 The probability of getting a 1or 2 is 1 6 3 3 The probability of getting a 4, 5, or 6 is 1 6 2 Multiply the probabilities to get 1 1 1 = 3 2 6 www.math12.com 321

Part II: Venn Diagrams Venn Diagrams: Outcomes of events are frequently organized in Venn Diagrams as a visual aid to the underlying mathematics. Venn Diagrams of Mutually Exclusive Events: If two events are mutually exclusive, the Venn diagrams must illustrate that there is no overlap between the two sets of outcomes. Example 1: In a game, discs are thrown into two circles on the other side of the room, as shown in the diagram. a) Calculate the probability of a disc being in Circle 1 favorable cases 5 PCircle ( 1= ) = total cases 8 b) Calculate the probability of a disc being in Circle 2 favorable cases 3 PCircle ( 2 ) = = total cases 8 c) Calculate the probability of a disc being in Circle 1 and Circle 2 PCircle ( 1 and 2 ) =0since a disc can t be in both circles at once! d ) Calculate the probability of a disc being in Circle 1 or Circle 2 Since we have an or probability, simply add the probability of the disc being in Circle 1 to the probability of the disc being in Circle 2. 5 3 8 P( Circle 1 or 2 ) = + = 1 8 8 8 www.math12.com 322

Part II: Venn Diagrams Venn Diagrams of Non - Mutually Exclusive Events: If two events are non - mutually exclusive, there is overlap between the two sets of outcomes. Example 2: In a game, discs are thrown into two circles on the other side of the room, as shown in the diagram. a) Calculate the probability of a disc being in Circle 1 favorable cases 5 PCircle ( 1= ) = total cases 8 b) Calculate the probability of a disc being in Circle 2 favorable cases 7 PCircle ( 2 ) = = total cases 8 c) Calculate the probability of a disc being in Circle 1 and Circle 2 favorable cases 4 1 PCircle ( 1 and 2 ) = = total cases 8 2 d) Calculate the probability of a disc being in Circle 1 or Circle 2 Since we have an or probability, simply add the probability of the disc being in Circle 1 to the probability of the disc being in Circle 2. 5 7 12 3 PCircle ( 1 or 2 ) = + = INCORRECT 8 8 8 2? Probability can t be bigger than What Happened? Adding the probabilities for Circle 1 and Circle 2 led to Using the new formula to overlap in the middle since the 4 discs are counted in calculate the probability each case! Subtract them out to get the correct answer. for Circle 1 OR 2 gives: 5 7 4 P A or B =P A + P B - P A and B + - = 1 8 8 8 one! ( ) ( ) ( ) ( ) This is the correct result. www.math12.com 323

Part II: Venn Diagrams Example 3: In a game, discs are thrown into two circles on the other side of the room, as shown in the diagram. a) Calculate the probability of a disc being in Circle 1 favorable cases 6 2 P( Circle 1 ) = = total cases 9 3 b) Calculate the probability of a disc being in Circle 2 d) Calculate the probability of a disc being in Circle 1 or Circle 2 P( Circle 1 or 2 ) = P( Circle 1) + P( Circle 2) P( Circle 1 and 2) ( ) 6 3 2 P Circle 1 or 2 = + 9 9 9 ( ) 7 P Circle 1 or 2 = 9 favorable cases 3 1 P( Circle 2 ) = = total cases 9 3 c) Calculate the probability of a disc being in Circle 1 and Circle 2 e) Calculate the probability of a disc not being in circle 1 P ( NOT Circle 1 ) = 1 - P( Circle 1) ( NOT ) 2 P Circle 1 =1-3 ( NOT ) 1 P Circle 1 = 3 ( ) favorable cases 2 P Circle 1 and 2 = = total cases 9 You may have noticed that the probabilities can be read off the diagram without using the formula. f) Calculate the probability of a disc not being in Circle 1 or Circle 2 P ( NOT Circle 1 ) = 1 - P( Circle 1 or 2) ( NOT ) 7 P Circle 1 =1-9 ( NOT ) 2 P Circle 1 = 9 The formula method is included to show you how to do these calculations when there is no diagram to look at. Some questions will just give you numbers for the probabilities, and you will have to work it out from the formulas only. www.math12.com 324

Part II: Venn Diagrams Questions: 1) In a game, discs are thrown into two circles as shown in the diagram. a) Calculate the probability of a disc being in Circle 1 b) Calculate the probability of a disc being in Circle 2 c) Calculate the probability of a disc being in Circle 1 and Circle 2 d) Calculate the probability of a disc being in Circle 1 or Circle 2 2) In a game, discs are thrown into two circles as shown in the diagram. a) Calculate the probability of a disc being in Circle 1 b) Calculate the probability of a disc being in Circle 2 c) Calculate the probability of a disc being in Circle 1 and Circle 2 d) Calculate the probability of a disc being in Circle 1 or Circle 2 www.math12.com 325

Part II: Venn Diagrams 3) In a game, discs are thrown into two circles as shown in the diagram. a) Calculate the probability of a disc being in Circle 1 b) Calculate the probability of a disc being in Circle 2 c) Calculate the probability of a disc being in Circle 1 and Circle 2 d) Calculate the probability of a disc being in Circle 1 or Circle 2 e) Calculate the probability of a disc not being in circle 1 f) Calculate the probability of a disc not being in Circle 1 or Circle 2 4) Calculate the unknown quantity in each of the following: a) P(A) = 0.611, P(B) = 0.833, P(A and B) = 0.444. Calculate P(A or B) b) P(A) = 0.737, P(B) = 0.789, P(A or B) = 1 Calculate P(A and B) c) P(A) = 0.5, P(A or B) = 1, P(A and B) = 0.0625 Calculate P(B) www.math12.com 326

Answers: Probability Lesson 1 Part II: Venn Diagrams 1. 2. P(Circle 1) = 0.8 P(Circle 1) = 0.583 P(Circle 2) = 0.417 P(Circle 2) = 0.5 P(Circle 1 & 2) = 0 P(Circle 1 & 2) = 0.3 P(Circle 1 or 2) = 1 P(Circle 1 or 2) = 1 3. 4. a) P(A or B) = P(A) + P(B) P(A and B) P(A or B) = 0.611 + 0.833 0.444 P(A or B) = 1 P(Circle 1) = 0.3 P(Circle 1 or 2) = 0.6 b) P(A or B) = P(A) + P(B) P(A and B) Solve for P(A and B) P(A and B) = P(A) + P(B) P(A or B) P(A and B) = 0.737 + 0.789 1 P(A and B) = 0.526 P(Circle 2) = 0.4 P(Not Circle 1) = 0.7 c) P(A or B) = P(A) + P(B) P(A and B) Solve for P(B) P(B) = P(A or B) + P(A and B) - P(A) P(B) = 1 0.0625 0.5 P(B) = 0.4375 P(Circle 1 & 2) = 0.1 P(Not Circle 1 or 2) = 0.4 www.math12.com 327