Conditional Probability

Slides:



Advertisements
Similar presentations
Probability. The probability of an event occurring is between 0 and 1 If an event is certain not to happen, the probability is 0 eg: the probability of.
Advertisements

Slide 12-1 Copyright © 2005 Pearson Education, Inc. SEVENTH EDITION and EXPANDED SEVENTH EDITION.
Today Today: Some more counting examples; Start Chapter 2 Important Sections from Chapter 1: ; Please read Reading: –Assignment #2 is up.
Sampling and Sampling Distributions Aims of Sampling Probability Distributions Sampling Distributions The Central Limit Theorem Types of Samples.
The probability of an event based on the fact that some other event has occurred, will occur, or is occurring. P(B/A) = Conditional Probability The probability.
Copyright © 2015, 2011, 2008 Pearson Education, Inc. Chapter 7, Unit A, Slide 1 Probability: Living With The Odds 7.
Slide 1 Definition Figures 3-4 and 3-5 Events A and B are disjoint (or mutually exclusive) if they cannot both occur together.
Chapter 12 Section 7 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Conditional Probability
Chapter 12 Section 7 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
12-4 Theoretical Probability Course 1 Warm Up Warm Up Lesson Presentation Lesson Presentation Problem of the Day Problem of the Day.
Section 7.2. Section Summary Assigning Probabilities Probabilities of Complements and Unions of Events Conditional Probability Independence Bernoulli.
Random Experiment Random Variable: Continuous, Discrete Sample Space: S Event: A, B, E Null Event Complement of an Event A’ Union of Events (either, or)
Created by Tom Wegleitner, Centreville, Virginia Section 3-6 Probabilities Through Simulations.
Warm-Up A woman and a man (unrelated) each have two children .
IT College Introduction to Computer Statistical Packages Lecture 8 Eng. Heba Hamad.
Section 11.4 Tree Diagrams, Tables, and Sample Spaces Math in Our World.
Probabilistic & Statistical Techniques Eng. Tamer Eshtawi First Semester Eng. Tamer Eshtawi First Semester
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
Probability Chapter Conditional Probability Section
SECTION 11-3 Conditional Probability; Events Involving “And” Slide
Vocabulary Two events in which either one or the other must take place, but they cannot both happen at the same time. The sum of their probabilities.
Chapter 3 Probability  The Concept of Probability  Sample Spaces and Events  Some Elementary Probability Rules  Conditional Probability and Independence.
ICS 253: Discrete Structures I Discrete Probability King Fahd University of Petroleum & Minerals Information & Computer Science Department.
12/24/ Probability Distributions. 12/24/ Probability Distributions Random Variable – a variable whose values are numbers determined.
Copyright © by Holt, Rinehart and Winston. All Rights Reserved. Objectives Find the theoretical probability of an event. Apply the Fundamental Counting.
Chapter 3 Section 3.7 Independence. Independent Events Two events A and B are called independent if the chance of one occurring does not change if the.
Copyright ©2011 Brooks/Cole, Cengage Learning Random Variables Class 34 1.
Aim: How do we find the conditional probability of an event? TEST TUESDAY.
Reviews of probability Question 1: Suppose we have a “ABCDE” litters how many words we can compose from them with 4 litters without repetition.
2 nd Nine Weeks Exam Review – Unit 6 Probability Key Points.
HAWKES LEARNING Students Count. Success Matters. Copyright © 2015 by Hawkes Learning/Quant Systems, Inc. All rights reserved. Section 7.1 Introduction.
Warm-up What is the best way to answer each of the questions below: an experiment, a sample survey, or an observational study that is not a sample survey?
Probability and Probability Distributions. Probability Concepts Probability: –We now assume the population parameters are known and calculate the chances.
Fundamentals of Probability
Introduction to Discrete Probability
ICS 253: Discrete Structures I
Probability Theoretical Probability
Chapter 11 Probability.
How can the likelihood of an event be measured?
WHAT IS PROBABILITY?.
6.3 – General Probability Rules
CS104:Discrete Structures
The Basics of Probability Theory and Complements and Unions of Events
Section 5.1 Basic Ideas.
Combining Probabilities
Filling in a Venn diagram
Discrete Probability Chapter 7 With Question/Answer Animations
AND.
6.2 Basics of Probability LEARNING GOAL
Conditional Probability AGENDA
Note: In this chapter, we only cover sections 4-1 through 4-3
Probability Probability underlies statistical inference - the drawing of conclusions from a sample of data. If samples are drawn at random, their characteristics.
The Wink Game In the cup are 2 chips. One chip has a dot ( ) on it and the other chip has a dash ( ). One chip is drawn from the cup. The symbol on.
Fundamentals of Probability
Parts of Speech There are 8 of them!.
Finding Probability Using Tree Diagrams or Tables
Section 6.2 Probability Models
Warm Up 1) A t-shirt company makes shirts in sizes S, M, L, XL and XXL and in the colors chartreuse, burgundy, fuchsia and mauve. How many different types.
Chapter 4 Probability.
Warm Up A business has six customer service operators available to talk with customers. Let X denote the number of operators busy with a customer at a.
6.2 Basics of Probability LEARNING GOAL
Probability.
Probability Mr. Johnson 2008.
If the chance of having a boy or girl were the same, would you expect there to be more days on which at least 60% of the babies born were boys in a large.
Tree diagrams and tables
Probability Mr. Johnson 2008.
Created by Tom Wegleitner, Centreville, Virginia
Probability.
Conditional Probability
Presentation transcript:

Conditional Probability P-7 Probability Conditional Probability

WHAT YOU WILL LEARN • How to determine probability under a given set of conditions

Conditional Probability In general, the probability of event E2 occurring, given that an event E1 has happened (or will happen; the time relationship does not matter), is called a conditional probability and is written P(E2|E1).

Example Given a family of two children, and assuming that boys and girls are equally likely, find the probability that the family has a) two girls. b) two girls if you know that at least one of the children is a girl. c) two girls given that the older child is a girl.

Solutions a) two girls There are four possible outcomes BB, BG, GB, and GG. b) two girls if you know that at least one of the children is a girl

Solutions (continued) two girls given that the older child is a girl

Conditional Probability For any two events, E1 and E2,

Example 257 127 130 Total 132 72 60 Women 125 55 70 Men Prefers Wintergreen Prefers Peppermint Use the results of the taste test given at a local mall. If one person from the sample is selected at random, find the probability the person selected:

Example (continued) a) prefers peppermint b) is a woman

Example (continued) c) prefers peppermint, given that a woman is selected d) is a man, given that the person prefers wintergreen

The local elementary school cafeteria offered ham sandwiches and pizza for lunch one day. The number of boys and girls who ate either a ham sandwich or pizza were recorded. The results are shown below. Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the student is a boy. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the student is a boy. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the student ate pizza for lunch. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the student ate pizza for lunch. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the person ate a ham sandwich for lunch, given that they are a girl. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the person ate a ham sandwich for lunch, given that they are a girl. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the person is a boy, given that they ate pizza for lunch. a. b. c. d.

Ham Sandwich Pizza Total Boys 40 62 102 Girls 28 88 116 68 150 218 If one of these students is selected at random, determine the probability that the person is a boy, given that they ate pizza for lunch. a. b. c. d.