4.3 Some Rules of Probability
|
|
- Junior Campbell
- 5 years ago
- Views:
Transcription
1 4.3 Some Rules of Probability Tom Lewis Fall Term 2009 Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
2 Outline 1 The addition rule 2 The complement rule 3 The inclusion/exclusion principle Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
3 The addition rule Theorem (Additivity) Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
4 The addition rule Theorem (Additivity) If A and B be disjoint events on a common probability space, then P(A B) = P(A) + P(B). Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
5 The addition rule Theorem (Additivity) If A and B be disjoint events on a common probability space, then P(A B) = P(A) + P(B). In general, if A 1, A 2,..., A k are disjoint events on a common probability space, then P(A 1 A 2 A k ) = P(A 1 ) + P(A 2 ) + + P(A k ). Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
6 The addition rule A bag of m& m s contains 55 candies with the following distribution of colors: Blue Brown Green Orange Red Yellow An experiment consists of selecting a single candy from bag. Let Bl, Br, G, O, R, and Y be the events of selecting, respectively, a blue, brown, green, orange, red, or yellow candy from the bag. Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
7 The addition rule A bag of m& m s contains 55 candies with the following distribution of colors: Blue Brown Green Orange Red Yellow An experiment consists of selecting a single candy from bag. Let Bl, Br, G, O, R, and Y be the events of selecting, respectively, a blue, brown, green, orange, red, or yellow candy from the bag. Evaluate P(Bl) and P(Y ). Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
8 The addition rule A bag of m& m s contains 55 candies with the following distribution of colors: Blue Brown Green Orange Red Yellow An experiment consists of selecting a single candy from bag. Let Bl, Br, G, O, R, and Y be the events of selecting, respectively, a blue, brown, green, orange, red, or yellow candy from the bag. Evaluate P(Bl) and P(Y ). Evaluate the probability that the selected candy is blue or yellow. Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
9 The addition rule A bag of m& m s contains 55 candies with the following distribution of colors: Blue Brown Green Orange Red Yellow An experiment consists of selecting a single candy from bag. Let Bl, Br, G, O, R, and Y be the events of selecting, respectively, a blue, brown, green, orange, red, or yellow candy from the bag. Evaluate P(Bl) and P(Y ). Evaluate the probability that the selected candy is blue or yellow. Evaluate the probability that the selected candy is brown, green or orange. Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
10 The complement rule Theorem (The complement rule) For any event E on a probability space, P(E) = 1 P(E c ). Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
11 The complement rule Theorem (The complement rule) For any event E on a probability space, P(E) = 1 P(E c ). Refer to the m&m data. What is the probability of not selecting an orange candy. Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
12 The inclusion/exclusion principle Theorem (Inclusion/exclusion) If A and B are any two events on a common sample space, then P(A B) = P(A) + P(B) P(A B) Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
13 The inclusion/exclusion principle Theorem (Inclusion/exclusion) If A and B are any two events on a common sample space, then P(A B) = P(A) + P(B) P(A B) An experiment consists of selecting a single card from a standard deck of 52 cards. What is the probability of selecting a king or a heart? Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
14 The inclusion/exclusion principle Theorem (Inclusion/exclusion) If A and B are any two events on a common sample space, then P(A B) = P(A) + P(B) P(A B) An experiment consists of selecting a single card from a standard deck of 52 cards. What is the probability of selecting a king or a heart? Let A and B be events on a common probability space with P(A) =.3, P(B) =.4 and P(A B) =.1. Evaluate the following probabilities: Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
15 The inclusion/exclusion principle Theorem (Inclusion/exclusion) If A and B are any two events on a common sample space, then P(A B) = P(A) + P(B) P(A B) An experiment consists of selecting a single card from a standard deck of 52 cards. What is the probability of selecting a king or a heart? Let A and B be events on a common probability space with P(A) =.3, P(B) =.4 and P(A B) =.1. Evaluate the following probabilities: Find P(A B) Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
16 The inclusion/exclusion principle Theorem (Inclusion/exclusion) If A and B are any two events on a common sample space, then P(A B) = P(A) + P(B) P(A B) An experiment consists of selecting a single card from a standard deck of 52 cards. What is the probability of selecting a king or a heart? Let A and B be events on a common probability space with P(A) =.3, P(B) =.4 and P(A B) =.1. Evaluate the following probabilities: Find P(A B) Find P(A B c ) Tom Lewis () 4.3 Some Rules of Probability Fall Term / 6
Lesson 3 Dependent and Independent Events
Lesson 3 Dependent and Independent Events When working with 2 separate events, we must first consider if the first event affects the second event. Situation 1 Situation 2 Drawing two cards from a deck
More information1MA01: Probability. Sinéad Ryan. November 12, 2013 TCD
1MA01: Probability Sinéad Ryan TCD November 12, 2013 Definitions and Notation EVENT: a set possible outcomes of an experiment. Eg flipping a coin is the experiment, landing on heads is the event If an
More informationChapter 4 Student Lecture Notes 4-1
Chapter 4 Student Lecture Notes 4-1 Basic Business Statistics (9 th Edition) Chapter 4 Basic Probability 2004 Prentice-Hall, Inc. Chap 4-1 Chapter Topics Basic Probability Concepts Sample spaces and events,
More informationClassical vs. Empirical Probability Activity
Name: Date: Hour : Classical vs. Empirical Probability Activity (100 Formative Points) For this activity, you will be taking part in 5 different probability experiments: Rolling dice, drawing cards, drawing
More informationDefine and Diagram Outcomes (Subsets) of the Sample Space (Universal Set)
12.3 and 12.4 Notes Geometry 1 Diagramming the Sample Space using Venn Diagrams A sample space represents all things that could occur for a given event. In set theory language this would be known as the
More informationIf you roll a die, what is the probability you get a four OR a five? What is the General Education Statistics
If you roll a die, what is the probability you get a four OR a five? What is the General Education Statistics probability that you get neither? Class Notes The Addition Rule (for OR events) and Complements
More informationChapter 5: Probability: What are the Chances? Section 5.2 Probability Rules
+ Chapter 5: Probability: What are the Chances? Section 5.2 + Two-Way Tables and Probability When finding probabilities involving two events, a two-way table can display the sample space in a way that
More informationProbability Unit 6 Day 3
Probability Unit 6 Day 3 Warm-up: 1. If you have a standard deck of cards in how many different hands exists of: (Show work by hand but no need to write out the full factorial!) a) 5 cards b) 2 cards 2.
More informationModule 4 Project Maths Development Team Draft (Version 2)
5 Week Modular Course in Statistics & Probability Strand 1 Module 4 Set Theory and Probability It is often said that the three basic rules of probability are: 1. Draw a picture 2. Draw a picture 3. Draw
More informationProbability. Ms. Weinstein Probability & Statistics
Probability Ms. Weinstein Probability & Statistics Definitions Sample Space The sample space, S, of a random phenomenon is the set of all possible outcomes. Event An event is a set of outcomes of a random
More informationProbability is the likelihood that an event will occur.
Section 3.1 Basic Concepts of is the likelihood that an event will occur. In Chapters 3 and 4, we will discuss basic concepts of probability and find the probability of a given event occurring. Our main
More informationStatistics Intermediate Probability
Session 6 oscardavid.barrerarodriguez@sciencespo.fr April 3, 2018 and Sampling from a Population Outline 1 The Monty Hall Paradox Some Concepts: Event Algebra Axioms and Things About that are True Counting
More informationPlease place homework on your desk.
Please place homework on your desk. 4/17 Problem of the Day Tony's mother purchases two bags of bagels from the bagel shop. One bag contains eight plain bagels and four cinnamon raisin bagels. The other
More informationTextbook: pp Chapter 2: Probability Concepts and Applications
1 Textbook: pp. 39-80 Chapter 2: Probability Concepts and Applications 2 Learning Objectives After completing this chapter, students will be able to: Understand the basic foundations of probability analysis.
More informationMath Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5.
Math 166 Spring 2007 c Heather Ramsey Page 1 Math 166 - Exam 2 Review NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5. Section 7.1 - Experiments, Sample Spaces,
More informationSection Introduction to Sets
Section 1.1 - Introduction to Sets Definition: A set is a well-defined collection of objects usually denoted by uppercase letters. Definition: The elements, or members, of a set are denoted by lowercase
More informationMath Exam 2 Review. NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5.
Math 166 Spring 2007 c Heather Ramsey Page 1 Math 166 - Exam 2 Review NOTE: For reviews of the other sections on Exam 2, refer to the first page of WIR #4 and #5. Section 7.1 - Experiments, Sample Spaces,
More informationName: Class: Date: ID: A
Class: Date: Chapter 0 review. A lunch menu consists of different kinds of sandwiches, different kinds of soup, and 6 different drinks. How many choices are there for ordering a sandwich, a bowl of soup,
More informationReview. Natural Numbers: Whole Numbers: Integers: Rational Numbers: Outline Sec Comparing Rational Numbers
FOUNDATIONS Outline Sec. 3-1 Gallo Name: Date: Review Natural Numbers: Whole Numbers: Integers: Rational Numbers: Comparing Rational Numbers Fractions: A way of representing a division of a whole into
More informationFinding Probabilities of Independent and Dependent Events
Finding Probabilities of Independent and Dependent Events Essential Question: If you draw two cards from a standard deck of 52 cards, is the probability that the second card is red affected by the color
More informationNC MATH 2 NCFE FINAL EXAM REVIEW Unit 6 Probability
NC MATH 2 NCFE FINAL EXAM REVIEW Unit 6 Probability Theoretical Probability A tube of sweets contains 20 red candies, 8 blue candies, 8 green candies and 4 orange candies. If a sweet is taken at random
More informationChapter 5 Probability
Chapter 5 Probability Math150 What s the likelihood of something occurring? Can we answer questions about probabilities using data or experiments? For instance: 1) If my parking meter expires, I will probably
More informationConditional Probability Worksheet
Conditional Probability Worksheet P( A and B) P(A B) = P( B) Exercises 3-6, compute the conditional probabilities P( AB) and P( B A ) 3. P A = 0.7, P B = 0.4, P A B = 0.25 4. P A = 0.45, P B = 0.8, P A
More informationProbability Rules 3.3 & 3.4. Cathy Poliak, Ph.D. (Department of Mathematics 3.3 & 3.4 University of Houston )
Probability Rules 3.3 & 3.4 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3: 3339 Lecture 3: 3339 1 / 23 Outline 1 Probability 2 Probability Rules Lecture
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
More 9.-9.3 Practice Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Answer the question. ) In how many ways can you answer the questions on
More informationMATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE
MATH 2053 - CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING 2009 - DR. DAVID BRIDGE MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the
More informationCONDITIONAL PROBABILITY Assignment
State which the following events are independent and which are dependent.. Drawing a card from a standard deck of playing card and flipping a penny 2. Drawing two disks from an jar without replacement
More informationNovember 11, Chapter 8: Probability: The Mathematics of Chance
Chapter 8: Probability: The Mathematics of Chance November 11, 2013 Last Time Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Probability Rules Probability Rules Rule 1.
More informationThe probability set-up
CHAPTER 2 The probability set-up 2.1. Introduction and basic theory We will have a sample space, denoted S (sometimes Ω) that consists of all possible outcomes. For example, if we roll two dice, the sample
More information(a) Suppose you flip a coin and roll a die. Are the events obtain a head and roll a 5 dependent or independent events?
Unit 6 Probability Name: Date: Hour: Multiplication Rule of Probability By the end of this lesson, you will be able to Understand Independence Use the Multiplication Rule for independent events Independent
More informationCompound Probability. Set Theory. Basic Definitions
Compound Probability Set Theory A probability measure P is a function that maps subsets of the state space Ω to numbers in the interval [0, 1]. In order to study these functions, we need to know some basic
More informationWeek 3 Classical Probability, Part I
Week 3 Classical Probability, Part I Week 3 Objectives Proper understanding of common statistical practices such as confidence intervals and hypothesis testing requires some familiarity with probability
More informationCounting integral solutions
Thought exercise 2.2 20 Counting integral solutions Question: How many non-negative integer solutions are there of x 1 +x 2 +x 3 +x 4 = 10? Thought exercise 2.2 20 Counting integral solutions Question:
More informationProbability MAT230. Fall Discrete Mathematics. MAT230 (Discrete Math) Probability Fall / 37
Probability MAT230 Discrete Mathematics Fall 2018 MAT230 (Discrete Math) Probability Fall 2018 1 / 37 Outline 1 Discrete Probability 2 Sum and Product Rules for Probability 3 Expected Value MAT230 (Discrete
More informationProbability Theory. Mohamed I. Riffi. Islamic University of Gaza
Probability Theory Mohamed I. Riffi Islamic University of Gaza Table of contents 1. Chapter 1 Probability Properties of probability Counting techniques 1 Chapter 1 Probability Probability Theorem P(φ)
More informationThe probability set-up
CHAPTER The probability set-up.1. Introduction and basic theory We will have a sample space, denoted S sometimes Ω that consists of all possible outcomes. For example, if we roll two dice, the sample space
More informationObjectives. Determine whether events are independent or dependent. Find the probability of independent and dependent events.
Objectives Determine whether events are independent or dependent. Find the probability of independent and dependent events. independent events dependent events conditional probability Vocabulary Events
More informationAnswer each of the following problems. Make sure to show your work.
Answer each of the following problems. Make sure to show your work. 1. A board game requires each player to roll a die. The player with the highest number wins. If a player wants to calculate his or her
More information10.2 Theoretical Probability and its Complement
warm-up after 10.1 1. A traveler can choose from 3 airlines, 5 hotels and 4 rental car companies. How many arrangements of these services are possible? 2. Your school yearbook has an editor and assistant
More informationProbability, Permutations, & Combinations LESSON 11.1
Probability, Permutations, & Combinations LESSON 11.1 Objective Define probability Use the counting principle Know the difference between combination and permutation Find probability Probability PROBABILITY:
More informationObjective 1: Simple Probability
Objective : Simple Probability To find the probability of event E, P(E) number of ways event E can occur total number of outcomes in sample space Example : In a pet store, there are 5 puppies, 22 kittens,
More information10.1 Applying the Counting Principle and Permutations (helps you count up the number of possibilities!)
10.1 Applying the Counting Principle and Permutations (helps you count up the number of possibilities!) Example 1: Pizza You are buying a pizza. You have a choice of 3 crusts, 4 cheeses, 5 meat toppings,
More informationProbability I Sample spaces, outcomes, and events.
Probability I Sample spaces, outcomes, and events. When we perform an experiment, the result is called the outcome. The set of possible outcomes is the sample space and any subset of the sample space is
More informationCounting & Basic probabilities. Stat 430 Heike Hofmann
Counting & Basic probabilities Stat 430 Heike Hofmann 1 Outline Combinatorics (Counting rules) Conditional probability Bayes rule 2 Combinatorics 3 Summation Principle Alternative Choices Start n1 ways
More information0-5 Adding Probabilities. 1. CARNIVAL GAMES A spinner has sections of equal size. The table shows the results of several spins.
1. CARNIVAL GAMES A spinner has sections of equal size. The table shows the results of several spins. d. a. Copy the table and add a column to show the experimental probability of the spinner landing on
More informationCh Probability Outcomes & Trials
Learning Intentions: Ch. 10.2 Probability Outcomes & Trials Define the basic terms & concepts of probability. Find experimental probabilities. Calculate theoretical probabilities. Vocabulary: Trial: real-world
More informationNovember 8, Chapter 8: Probability: The Mathematics of Chance
Chapter 8: Probability: The Mathematics of Chance November 8, 2013 Last Time Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Crystallographic notation The first symbol
More informationProbability. Mutually Exclusive Events
Probability Mutually Exclusive Events Mutually Exclusive Outcomes Outcomes are mutually exclusive if they cannot happen at the same time. For example, when you toss a single coin either it will land on
More informationName Date Class. 2. dime. 3. nickel. 6. randomly drawing 1 of the 4 S s from a bag of 100 Scrabble tiles
Name Date Class Practice A Tina has 3 quarters, 1 dime, and 6 nickels in her pocket. Find the probability of randomly drawing each of the following coins. Write your answer as a fraction, as a decimal,
More informationTotal. STAT/MATH 394 A - Autumn Quarter Midterm. Name: Student ID Number: Directions. Complete all questions.
STAT/MATH 9 A - Autumn Quarter 015 - Midterm Name: Student ID Number: Problem 1 5 Total Points Directions. Complete all questions. You may use a scientific calculator during this examination; graphing
More informationMutually Exclusive Events
Mutually Exclusive Events Suppose you are rolling a six-sided die. What is the probability that you roll an odd number and you roll a 2? Can these both occur at the same time? Why or why not? Mutually
More informationAlgebra 2 Notes Section 10.1: Apply the Counting Principle and Permutations
Algebra 2 Notes Section 10.1: Apply the Counting Principle and Permutations Objective(s): Vocabulary: I. Fundamental Counting Principle: Two Events: Three or more Events: II. Permutation: (top of p. 684)
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Study Guide for Test III (MATH 1630) Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the number of subsets of the set. 1) {x x is an even
More information12.6. Or and And Problems
12.6 Or and And Problems Or Problems P(A or B) = P(A) + P(B) P(A and B) Example: Each of the numbers 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 is written on a separate piece of paper. The 10 pieces of paper are
More informationIndependent and Mutually Exclusive Events
Independent and Mutually Exclusive Events By: OpenStaxCollege Independent and mutually exclusive do not mean the same thing. Independent Events Two events are independent if the following are true: P(A
More informationProbability. The MEnTe Program Math Enrichment through Technology. Title V East Los Angeles College
Probability The MEnTe Program Math Enrichment through Technology Title V East Los Angeles College 2003 East Los Angeles College. All rights reserved. Topics Introduction Empirical Probability Theoretical
More informationUnit 14 Probability. Target 3 Calculate the probability of independent and dependent events (compound) AND/THEN statements
Target 1 Calculate the probability of an event Unit 14 Probability Target 2 Calculate a sample space 14.2a Tree Diagrams, Factorials, and Permutations 14.2b Combinations Target 3 Calculate the probability
More informationCHAPTERS 14 & 15 PROBABILITY STAT 203
CHAPTERS 14 & 15 PROBABILITY STAT 203 Where this fits in 2 Up to now, we ve mostly discussed how to handle data (descriptive statistics) and how to collect data. Regression has been the only form of statistical
More informationChapter 1. Probability
Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.
More informationProbability and Randomness. Day 1
Probability and Randomness Day 1 Randomness and Probability The mathematics of chance is called. The probability of any outcome of a chance process is a number between that describes the proportion of
More informationIntroductory Probability
Introductory Probability Conditional Probability: Independent Events and Intersections Dr. Nguyen nicholas.nguyen@uky.edu Department of Mathematics UK February 15, 2019 Agenda Independent Events and Intersections
More informationCombinatorics: The Fine Art of Counting
Combinatorics: The Fine Art of Counting Week 6 Lecture Notes Discrete Probability Note Binomial coefficients are written horizontally. The symbol ~ is used to mean approximately equal. Introduction and
More informationWEEK 11 REVIEW ( and )
Math 141 Review 1 (c) 2014 J.L. Epstein WEEK 11 REVIEW (7.5 7.6 and 8.1 8.2) Conditional Probability (7.5 7.6) P E F is the probability of event E occurring given that event F has occurred. Notation: (
More informationBAYESIAN STATISTICAL CONCEPTS
BAYESIAN STATISTICAL CONCEPTS A gentle introduction Alex Etz @alxetz ß Twitter (no e in alex) alexanderetz.com ß Blog November 5 th 2015 Why do we do statistics? Deal with uncertainty Will it rain today?
More informationCHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY
CHAPTER 9 - COUNTING PRINCIPLES AND PROBABILITY Probability is the Probability is used in many real-world fields, such as insurance, medical research, law enforcement, and political science. Objectives:
More informationAnswer each of the following problems. Make sure to show your work.
Answer each of the following problems. Make sure to show your work. 1. A board game requires each player to roll a die. The player with the highest number wins. If a player wants to calculate his or her
More informationCounting techniques and more complex experiments (pp ) Counting techniques determining the number of outcomes for an experiment
Counting techniques and more complex experiments (pp. 618 626) In our introduction to probability, we looked at examples of simple experiments. These examples had small sample spaces and were easy to evaluate.
More informationOutcomes: The outcomes of this experiment are yellow, blue, red and green.
(Adapted from http://www.mathgoodies.com/) 1. Sample Space The sample space of an experiment is the set of all possible outcomes of that experiment. The sum of the probabilities of the distinct outcomes
More informationheads 1/2 1/6 roll a die sum on 2 dice 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 1, 2, 3, 4, 5, 6 heads tails 3/36 = 1/12 toss a coin trial: an occurrence
trial: an occurrence roll a die toss a coin sum on 2 dice sample space: all the things that could happen in each trial 1, 2, 3, 4, 5, 6 heads tails 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 example of an outcome:
More informationExample 1. An urn contains 100 marbles: 60 blue marbles and 40 red marbles. A marble is drawn from the urn, what is the probability that the marble
Example 1. An urn contains 100 marbles: 60 blue marbles and 40 red marbles. A marble is drawn from the urn, what is the probability that the marble is blue? Assumption: Each marble is just as likely to
More informationConditional Probability Worksheet
Conditional Probability Worksheet EXAMPLE 4. Drug Testing and Conditional Probability Suppose that a company claims it has a test that is 95% effective in determining whether an athlete is using a steroid.
More information7.1 Experiments, Sample Spaces, and Events
7.1 Experiments, Sample Spaces, and Events An experiment is an activity that has observable results. Examples: Tossing a coin, rolling dice, picking marbles out of a jar, etc. The result of an experiment
More informationThe Product Rule can be viewed as counting the number of elements in the Cartesian product of the finite sets
Chapter 6 - Counting 6.1 - The Basics of Counting Theorem 1 (The Product Rule). If every task in a set of k tasks must be done, where the first task can be done in n 1 ways, the second in n 2 ways, and
More informationMATHEMATICS E-102, FALL 2005 SETS, COUNTING, AND PROBABILITY Outline #1 (Probability, Intuition, and Axioms)
MATHEMATICS E-102, FALL 2005 SETS, COUNTING, AND PROBABILITY Outline #1 (Probability, Intuition, and Axioms) Last modified: September 19, 2005 Reference: EP(Elementary Probability, by Stirzaker), Chapter
More informationContents 2.1 Basic Concepts of Probability Methods of Assigning Probabilities Principle of Counting - Permutation and Combination 39
CHAPTER 2 PROBABILITY Contents 2.1 Basic Concepts of Probability 38 2.2 Probability of an Event 39 2.3 Methods of Assigning Probabilities 39 2.4 Principle of Counting - Permutation and Combination 39 2.5
More informationProbability Review 41
Probability Review 41 For the following problems, give the probability to four decimals, or give a fraction, or if necessary, use scientific notation. Use P(A) = 1 - P(not A) 1) A coin is tossed 6 times.
More information10-4 Theoretical Probability
Problem of the Day A spinner is divided into 4 different colored sections. It is designed so that the probability of spinning red is twice the probability of spinning green, the probability of spinning
More informationIndependent Events. If we were to flip a coin, each time we flip that coin the chance of it landing on heads or tails will always remain the same.
Independent Events Independent events are events that you can do repeated trials and each trial doesn t have an effect on the outcome of the next trial. If we were to flip a coin, each time we flip that
More informationSuch a description is the basis for a probability model. Here is the basic vocabulary we use.
5.2.1 Probability Models When we toss a coin, we can t know the outcome in advance. What do we know? We are willing to say that the outcome will be either heads or tails. We believe that each of these
More informationSection 6.5 Conditional Probability
Section 6.5 Conditional Probability Example 1: An urn contains 5 green marbles and 7 black marbles. Two marbles are drawn in succession and without replacement from the urn. a) What is the probability
More informationNovember 6, Chapter 8: Probability: The Mathematics of Chance
Chapter 8: Probability: The Mathematics of Chance November 6, 2013 Last Time Crystallographic notation Groups Crystallographic notation The first symbol is always a p, which indicates that the pattern
More informationPROBABILITY. Example 1 The probability of choosing a heart from a deck of cards is given by
Classical Definition of Probability PROBABILITY Probability is the measure of how likely an event is. An experiment is a situation involving chance or probability that leads to results called outcomes.
More informationGSE Honors Geometry. 1. Create a lattice diagram representing the possible outcomes for the two tiles
GSE Honors Geometry Unit 9 Applications of Probability Name Unit Test Review Part 1 You and a friend have made up a game that involves drawing one numbered tile out of each of two separate bags. The first
More informationChapter 1. Probability
Chapter 1. Probability 1.1 Basic Concepts Scientific method a. For a given problem, we define measures that explains the problem well. b. Data is collected with observation and the measures are calculated.
More informationProbability CK-12. Say Thanks to the Authors Click (No sign in required)
Probability CK-12 Say Thanks to the Authors Click http://www.ck12.org/saythanks (No sign in required) To access a customizable version of this book, as well as other interactive content, visit www.ck12.org
More informationSample Spaces, Events, Probability
Sample Spaces, Events, Probability CS 3130/ECE 3530: Probability and Statistics for Engineers August 28, 2014 Sets A set is a collection of unique objects. Sets A set is a collection of unique objects.
More informationProbability Rules. 2) The probability, P, of any event ranges from which of the following?
Name: WORKSHEET : Date: Answer the following questions. 1) Probability of event E occurring is... P(E) = Number of ways to get E/Total number of outcomes possible in S, the sample space....if. 2) The probability,
More informationStudy Guide Probability SOL Summative Assessment Date:
Study Guide Probability SOL 6.16 Summative Assessment Date: What do I need to know for the assessment? Identify the difference between independent and dependent events Determine the probability of independent
More information4. Are events C and D independent? Verify your answer with a calculation.
Honors Math 2 More Conditional Probability Name: Date: 1. A standard deck of cards has 52 cards: 26 Red cards, 26 black cards 4 suits: Hearts (red), Diamonds (red), Clubs (black), Spades (black); 13 of
More informationIntroduction to probability
Introduction to probability Suppose an experiment has a finite set X = {x 1,x 2,...,x n } of n possible outcomes. Each time the experiment is performed exactly one on the n outcomes happens. Assign each
More information1) If P(E) is the probability that an event will occur, then which of the following is true? (1) 0 P(E) 1 (3) 0 P(E) 1 (2) 0 P(E) 1 (4) 0 P(E) 1
Algebra 2 Review for Unit 14 Test Name: 1) If P(E) is the probability that an event will occur, then which of the following is true? (1) 0 P(E) 1 (3) 0 P(E) 1 (2) 0 P(E) 1 (4) 0 P(E) 1 2) From a standard
More informationChapter 5 - Elementary Probability Theory
Chapter 5 - Elementary Probability Theory Historical Background Much of the early work in probability concerned games and gambling. One of the first to apply probability to matters other than gambling
More informationLesson 4: Chapter 4 Sections 1-2
Lesson 4: Chapter 4 Sections 1-2 Caleb Moxley BSC Mathematics 14 September 15 4.1 Randomness What s randomness? 4.1 Randomness What s randomness? Definition (random) A phenomenon is random if individual
More information1. Counting. 2. Tree 3. Rules of Counting 4. Sample with/without replacement where order does/doesn t matter.
Lecture 4 Outline: basics What s to come? Probability A bag contains: What is the chance that a ball taken from the bag is blue? Count blue Count total Divide Today: Counting! Later: Probability Professor
More informationMAGIC DECK OF: SHAPES, COLORS, NUMBERS
MAGIC DECK OF: SHAPES, COLORS, NUMBERS Collect all the sets to: Learn basic colors: red, orange, yellow, blue, green, purple, pink, peach, black, white, gray, and brown Learn to count: 1, 2, 3, 4, 5, and
More informationProbability: introduction
May 6, 2009 Probability: introduction page 1 Probability: introduction Probability is the part of mathematics that deals with the chance or the likelihood that things will happen The probability of an
More informationThis Probability Packet Belongs to:
This Probability Packet Belongs to: 1 2 Station #1: M & M s 1. What is the sample space of your bag of M&M s? 2. Find the theoretical probability of the M&M s in your bag. Then, place the candy back into
More informationProbability. Probabilty Impossibe Unlikely Equally Likely Likely Certain
PROBABILITY Probability The likelihood or chance of an event occurring If an event is IMPOSSIBLE its probability is ZERO If an event is CERTAIN its probability is ONE So all probabilities lie between 0
More informationMath 1111 Math Exam Study Guide
Math 1111 Math Exam Study Guide The math exam will cover the mathematical concepts and techniques we ve explored this semester. The exam will not involve any codebreaking, although some questions on the
More informationDef: The intersection of A and B is the set of all elements common to both set A and set B
Def: Sample Space the set of all possible outcomes Def: Element an item in the set Ex: The number "3" is an element of the "rolling a die" sample space Main concept write in Interactive Notebook Intersection:
More information