AND.

Slides:



Advertisements
Similar presentations
Simple Probability and Odds
Advertisements

Check roster below the chat area for your name to be sure you get credit! Audio will start at class time. If you are not familiar with a standard deck.
1 1 PRESENTED BY E. G. GASCON Introduction to Probability Section 7.3, 7.4, 7.5.
Learning Objectives for Section 8.1 Probability
Section 1 Sample Spaces, Events, and Probability
Copyright © 2009 Pearson Education, Inc. Chapter 12 Section 1 - Slide 1 P-1 Probability The Nature of Probability.
Copyright © 2015, 2011, 2008 Pearson Education, Inc. Chapter 7, Unit A, Slide 1 Probability: Living With The Odds 7.
Notes From David Palay: Chapter 5.1 Introduction to Probability What are the chances that…
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.1 The Nature of Probability.
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.2 Theoretical Probability
PROBABILITY. Counting methods can be used to find the number of possible ways to choose objects with and without regard to order. The Fundamental Counting.
Notes on PROBABILITY What is Probability? Probability is a number from 0 to 1 that tells you how likely something is to happen. Probability can be either.
Seminar 7 MM150 Bashkim Zendeli. Chapter 7 PROBABILITY.
Chapter 7 Probability. 7.1 The Nature of Probability.
Chapter 3 Probability Larson/Farber 4th ed. Chapter Outline 3.1 Basic Concepts of Probability 3.2 Conditional Probability and the Multiplication Rule.
Probability Section 7.1. What is probability? Probability discusses the likelihood or chance of something happening. For instance, -- the probability.
Welcome to MM150 Unit 7 Seminar
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
1 Probability Ernesto A. Diaz Faculty Mathematics Department.
Basic Concepts of Probability
SECTION 11-2 Events Involving “Not” and “Or” Slide
Chapter 12 Section 1 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Probability. What is probability? Probability discusses the likelihood or chance of something happening. For instance, -- the probability of it raining.
Welcome to MM150 Unit 7 Seminar
Slide Copyright © 2009 Pearson Education, Inc. Chapter 7 Probability.
Check roster below the chat area for your name to be sure you get credit! Audio will start at class time. If you are not familiar with a standard deck.
Statistics.  Probability experiment: An action through which specific results (counts, measurements, or responses) are obtained.  Outcome: The result.
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.
Unit 4 Section 3.1.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 11 Counting Methods and Probability Theory.
Copyright © 2009 Pearson Education, Inc. Chapter 12 Section 2 - Slide 1 P-2 Probability Theoretical Probability.
Section 6.2: Definition of Probability. Probability of an event E denoted P(E) is the ratio of the number of outcomes favorable to E to the total number.
Chapter 7 Sets & Probability Section 7.3 Introduction to Probability.
Chapter 8 Probability Section 1 Sample Spaces, Events, and Probability.
Welcome to MM150 Unit 7 Seminar. Definitions Experiment - A controlled operation that yields a set of results. Outcomes - The possible results from an.
3.1 Basic Concepts of Probability. Definitions Probability experiment: An action through which specific results (counts, measurements, or responses) are.
Fundamentals of Probability
Essential Ideas for The Nature of Probability
Adding Probabilities 12-5
Mathematics Department
9.8 Probability Basic Concepts
What Is Probability?.
Probability Predictions Ch. 1, Act. 5.
Chapter 4 Probability Concepts
Welcome to MM150 Unit 7 Seminar
PROBABILITY.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
Probability of Independent Events
Chapter 3 Probability.
Student Activity 1: Fair trials with two dice
Elementary Statistics: Picturing The World
The Nature of Probability
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.
Chapter 3 Probability.
Chapter 3 Probability Larson/Farber 4th ed.
Chapter 4 Section 1 Probability Theory.
Section 12.1 The Nature of Probability
Section 12.1 The Nature of Probability
Counting Methods and Probability Theory
Section 12.2 Theoretical Probability
Counting Methods and Probability Theory
Section 12.2 Theoretical Probability
6.1 Sample space, events, probability
Basic Concepts of Probability
Adapted from Walch Education
Section 12.1 The Nature of Probability
Section 12.2 Theoretical Probability
Theoretical Probability
Sets, Combinatorics, Probability, and Number Theory
Presentation transcript:

AND

Chapter 12 Probability

WHAT YOU WILL LEARN • Empirical probability and theoretical probability

The Nature of Probability Section 1 The Nature of Probability

Definitions An experiment is a controlled operation that yields a set of results. The possible results of an experiment are called its outcomes. An event is a subcollection of the outcomes of an experiment.

Definitions (continued) Empirical probability is the relative frequency of occurrence of an event and is determined by actual observations of an experiment. Theoretical probability is determined through a study of the possible outcomes that can occur for the given experiment.

Empirical Probability Example: In 100 tosses of a fair die, 19 landed showing a 3. Find the empirical probability of the die landing showing a 3. Let E be the event of the die landing showing a 3.

The Law of Large Numbers The law of large numbers states that probability statements apply in practice to a large number of trials, not to a single trial. It is the relative frequency over the long run that is accurately predictable, not individual events or precise totals.

Theoretical Probability Section 2 Theoretical Probability

Equally likely outcomes If each outcome of an experiment has the same chance of occurring as any other outcome, they are said to be equally likely outcomes. For equally likely outcomes, the probability of Event E may be calculated with the following formula.

Example A die is rolled. Find the probability of rolling a) a 2. b) an odd number. c) a number less than 4. d) an 8. e) a number less than 9.

Solutions: There are six equally likely outcomes: 1, 2, 3, 4, 5, and 6. b) There are three ways an odd number can occur: 1, 3 or 5. c) Three numbers are less than 4.

Solutions: There are six equally likely outcomes: 1, 2, 3, 4, 5, and 6 (continued) d) There are no outcomes that will result in an 8. e) All outcomes are less than 9. The event must occur and the probability is 1.

Important Facts The probability of an event that cannot occur is 0. The probability of an event that must occur is 1. Every probability is a number between 0 and 1 inclusive; that is, 0  P(E) 1. The sum of the probabilities of all possible outcomes of an experiment is 1.

Example A standard deck of cards is well shuffled. Find the probability that the card is selected. a) a 10. b) not a 10. c) a heart. d) an ace, 2, or 3. e) diamond and spade. f) a card greater than 4 and less than 7.

Example (continued) a) a 10 There are four 10’s in a deck of 52 cards. b) not a 10

Example continued c) a heart There are 13 hearts in the deck. d) an ace, 2 or 3 There are 4 aces, 4 twos and 4 threes, or a total of 12 cards.

Example continued d) diamond and spade The word and means both events must occur. This is not possible. e) a card greater than 4 and less than 7 The cards greater than 4 and less than 7 are 5’s and 6’s (or a total of 8 cards).