Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.

Slides:



Advertisements
Similar presentations
Aim: What are ‘Or’ Probabilities?
Advertisements

Probability of Independent Events
MAT 103 Probability In this chapter, we will study the topic of probability which is used in many different areas including insurance, science, marketing,
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Section 2 Union, Intersection, and Complement of Events, Odds
MAT 103 Probability In this chapter, we will study the topic of probability which is used in many different areas including insurance, science, marketing,
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
1 1 PRESENTED BY E. G. GASCON Introduction to Probability Section 7.3, 7.4, 7.5.
Chapter 7 Probability 7.1 Experiments, Sample Spaces, and Events
11.1 – Probability – Basic Concepts Probability The study of the occurrence of random events or phenomena. It does not deal with guarantees, but with the.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Created by Tom Wegleitner, Centreville, Virginia Section 4-3.
Chapter 4 Basic Probability
Section 5.2 The Addition Rule and Complements
Sets, Combinatorics, Probability, and Number Theory Mathematical Structures for Computer Science Chapter 3 Copyright © 2006 W.H. Freeman & Co.MSCS SlidesProbability.
Sets, Combinatorics, Probability, and Number Theory Mathematical Structures for Computer Science Chapter 3 Copyright © 2006 W.H. Freeman & Co.MSCS SlidesProbability.
Math 409/409G History of Mathematics
© 2003 Prentice-Hall, Inc.Chap 4-1 Business Statistics: A First Course (3 rd Edition) Chapter 4 Basic Probability.
College Algebra Sixth Edition James Stewart Lothar Redlin Saleem Watson.
Chapter 1:Independent and Dependent Events
Addition Rule Mr. Evans Statistics B. Venn Diagram It is often possible to illustrate the various sets or events of an experiment. For this we use Venn.
Chapter 7 Probability. 7.1 The Nature of Probability.
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
© 2010 Pearson Prentice Hall. All rights reserved Events Involving Not and Or; Odds.
Slide 1 © 2002 McGraw-Hill Australia, PPTs t/a Introductory Mathematics & Statistics for Business 4e by John S. Croucher 1 n Learning Objectives –Understand.
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Section 2 Union, Intersection, and Complement of Events, Odds
Lesson 8.7 Page #1-29 (ODD), 33, 35, 41, 43, 47, 49, (ODD) Pick up the handout on the table.
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Basic Concepts of Probability
Introduction to Probability (Dr. Monticino). Assignment Sheet  Read Chapters 13 and 14  Assignment #8 (Due Wednesday March 23 rd )  Chapter 13  Exercise.
SECTION 11-2 Events Involving “Not” and “Or” Slide
Chapter 12 Section 1 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Chapter 4 Probability, Randomness, and Uncertainty.
Copyright © 2015, 2012, and 2009 Pearson Education, Inc. 1 Chapter Probability 3.
AP Statistics Section 6.2 B Probability Rules. If A represents some event, then the probability of event A happening can be represented as _____.
Copyright © 2009 Pearson Education, Inc. Chapter 12 Section 2 - Slide 1 P-2 Probability Theoretical Probability.
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Chapter 7 Sets & Probability Section 7.3 Introduction to Probability.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Section 3.3 Addition Rule © 2012 Pearson Education, Inc. All rights reserved. 1 of 88.
Statistics for Managers 5th Edition
1 What Is Probability?. 2 To discuss probability, let’s begin by defining some terms. An experiment is a process, such as tossing a coin, that gives definite.
Probability IIntroduction to Probability ASatisfactory outcomes vs. total outcomes BBasic Properties CTerminology IICombinatory Probability AThe Addition.
12.3 Probability of Equally Likely Outcomes
Samples spaces are _______________
Mathematics Department
9.8 Probability Basic Concepts
Basic Business Statistics (8th Edition)
Chapter 11 Probability.
What Is Probability?.
11.1 – Probability – Basic Concepts
Sequences, Series, and Probability
Probability of Independent Events
Statistics 300: Introduction to Probability and Statistics
AND.
Introduction Remember that probability is a number from 0 to 1 inclusive or a percent from 0% to 100% inclusive that indicates how likely an event is to.
Section 3-3 Mutually exclusive events are events that cannot both happen at the same time. The Addition Rule (For “OR” probabilities) “Or” can mean one.
Elementary Statistics: Picturing The World
Experiments, Sample Spaces, and Events
Chapter 11: Further Topics in Algebra
Digital Lesson Probability.
3.3 The Addition Rule Important Concepts Mutually Exclusive Events
Counting Methods and Probability Theory
Section 4-2 Addition Rules
7.2 Union, intersection, complement of an event, odds
Business and Economics 7th Edition
Section 7.3 Rules of Probability.
Presentation transcript:

Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved

© 2008 Pearson Addison-Wesley. All rights reserved Chapter 12: Probability 12.1 Basic Concepts 12.2 Events Involving “Not” and “Or” 12.3 Conditional Probability; Events Involving “And” 12.4 Binomial Probability 12.5Expected Value

© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 12-2 Events Involving “Not” and “Or”

© 2008 Pearson Addison-Wesley. All rights reserved Events Involving “Not” and “Or” Properties of Probability Events Involving “Not” Events Involving “Or”

© 2008 Pearson Addison-Wesley. All rights reserved Properties of Probability Let E be an event from the sample space S. That is, E is a subset of S. Then the following properties hold. (The probability of an event is between 0 and 1, inclusive.) (The probability of an impossible event is 0.) (The probability of a certain event is 1.)

© 2008 Pearson Addison-Wesley. All rights reserved Example: Rolling a Die When a single fair die is rolled, find the probability of each event. a) the number 3 is rolled b) a number other than 3 is rolled c) the number 7 is rolled d) a number less than 7 is rolled

© 2008 Pearson Addison-Wesley. All rights reserved Example: Rolling a Die Solution The outcome for the die has six possibilities: {1, 2, 3, 4, 5, 6}.

© 2008 Pearson Addison-Wesley. All rights reserved Events Involving “Not” The table on the next slide shows the correspondences that are the basis for the probability rules developed in this section. For example, the probability of an event not happening involves the complement and subtraction.

© 2008 Pearson Addison-Wesley. All rights reserved Correspondences Set TheoryLogicArithmetic Operation or Connective (Symbol) ComplementNotSubtraction Operation or Connective (Symbol) UnionOrAddition Operation or Connective (Symbol) IntersectionAndMultiplication

© 2008 Pearson Addison-Wesley. All rights reserved Probability of a Complement The probability that an event E will not occur is equal to one minus the probability that it will occur. S So we have E and

© 2008 Pearson Addison-Wesley. All rights reserved Example: Complement When a single card is drawn from a standard 52- card deck, what is the probability that is will not be an ace? Solution

© 2008 Pearson Addison-Wesley. All rights reserved Events Involving “Or” Probability of one event or another should involve the union and addition.

© 2008 Pearson Addison-Wesley. All rights reserved Mutually Exclusive Events Two events A and B are mutually exclusive events if they have no outcomes in common. (Mutually exclusive events cannot occur simultaneously.)

© 2008 Pearson Addison-Wesley. All rights reserved Addition Rule of Probability (for A or B) If A and B are any two events, then If A and B are mutually exclusive, then

© 2008 Pearson Addison-Wesley. All rights reserved Example: Probability Involving “Or” When a single card is drawn from a standard 52- card deck, what is the probability that it will be a king or a diamond? Solution

© 2008 Pearson Addison-Wesley. All rights reserved Example: Probability Involving “Or” If a single die is rolled, what is the probability of a 2 or odd? Solution These are mutually exclusive events.