13-5 Conditional Probability

Slides:



Advertisements
Similar presentations
Conditional Probability and Independence. Learning Targets 1. I can calculate conditional probability using a 2-way table. 2. I can determine whether.
Advertisements

Math notebook, pencil, and possibly calculator. Definitions  An outcome is the result of a single trial of an experiment.  The sample space of an experiment.
Unit 32 STATISTICS.
Probability Sample Space Diagrams.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
In this chapter we introduce the basics of probability.
Exercises (1) 1. In the usual dice experiment, let A, B and C, be the following events: A = {1,7,6} and B = {1,2,7,5} and C = {3,5} Find the following:
Probability The likelihood that an event will occur. A number from 0 to 1 As a percent from 0% to 100%
CONDITIONAL PROBABILITY and INDEPENDENCE In many experiments we have partial information about the outcome, when we use this info the sample space becomes.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Section 5.2 The Addition Rule and Complements
Chapter 1:Independent and Dependent Events
S.CP.A.1 Probability Basics. Probability - The chance of an event occurring Experiment: Outcome: Sample Space: Event: The process of measuring or observing.
Page 973, 10.3, % 9.43% % 11. Permutation 12. Permutation 13. Combination 14. Combination, 18%
Basic Probability Rules Let’s Keep it Simple. A Probability Event An event is one possible outcome or a set of outcomes of a random phenomenon. For example,
Section 11.4 Tree Diagrams, Tables, and Sample Spaces Math in Our World.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Copyright © 2010 Pearson Education, Inc. Chapter 6 Probability.
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Section 7.2.  Mutually Exclusive: pulling a jack or queen card from the deck P(a U b) = P(a) + P(b) In general, Reminder  U means union means intersection.
Sixth lecture Concepts of Probabilities. Random Experiment Can be repeated (theoretically) an infinite number of times Has a well-defined set of possible.
Section 3.2 Conditional Probability and the Multiplication Rule.
Conditional Probability and the Multiplication Rule.
Section 3.2 Conditional Probability and the Multiplication Rule.
Basic Concepts of Probability
MULTIPLICATION RULES FOR PROBABILITY INDEPENDENT AND DEPENDENT EVENTS.
Express as a fraction the probability that the outcome for rolling two number cubes has a sum less than 7. Probability COURSE 3 LESSON 6-9 Make a table.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
Chapter 10 – Data Analysis and Probability 10.7 – Probability of Compound Events.
Chapter 7: Probability Lesson 1: Basic Principles of Probability Mrs. Parziale.
Math 145 September 18, Terminologies in Probability  Experiment – Any process that produces an outcome that cannot be predicted with certainty.
Warm Up: Quick Write Which is more likely, flipping exactly 3 heads in 10 coin flips or flipping exactly 4 heads in 5 coin flips ?
Probability 9.8. Copyright © by Houghton Mifflin Company, Inc. All rights reserved. 2 Definition: Experiment Any activity with an unpredictable results.
PROBABILITY. What is Probability? Def: The chance of an event occuring. Where is it used? –Lotteries, gambling, weather forecasting, insurance, investments,
Applications of Probability 1 Contents 1.Expected Outcomes 2.Financial Expectation Press ‘Ctrl-A’ © G Dear 2008 (Free to use. May not be sold)
Probability What is the probability of rolling “snake eyes” in one roll? What is the probability of rolling “yahtzee” in one roll?
Chapter 10 PROBABILITY. Probability Terminology  Experiment: take a measurement Like flipping a coin  Outcome: one possible result of an experiment.
Discrete Math Section 16.1 Find the sample space and probability of multiple events The probability of an event is determined empirically if it is based.
Section 3.2 Conditional Probability and the Multiplication Rule © 2012 Pearson Education, Inc. All rights reserved. 1 of 88.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Probability and Sample Space…….
Adding Probabilities 12-5
Terminologies in Probability
13.5 Conditional Probability
Sequences, Series, and Probability
12.4 Probability of Compound Events
Math 145 September 25, 2006.
Definitions: Random Phenomenon:
EXAMPLE 1 Find a sample space
PROBABILITY The probability of an event is a value that describes the chance or likelihood that the event will happen or that the event will end with.
Terminologies in Probability
Statistical Inference for Managers
Lecture 22 Section 7.1 – Wed, Oct 20, 2004
Terminologies in Probability
Terminologies in Probability
Probability.
PROBABILITY Lesson 10.3A.
Chapter 4 Section 1 Probability Theory.
©G Dear 2009 – Not to be sold/Free to use
Probability of Compound Events
Digital Lesson Probability.
Terminologies in Probability
Additional Rule of Probability
Math 145 June 26, 2007.
 I can construct models to represent the probability of compound events.  
Terminologies in Probability
Math 145 February 12, 2008.
Terminologies in Probability
Investigation Write down the sample space for throwing a die and tossing a coin. 1T 2T 3T 4T 5T 6T 1H 2H 3H 4H 5H 6H   From the sample space calculate:
Presentation transcript:

13-5 Conditional Probability

Conditional Probability The probability of an event under the condition that some preceding event has occurred P(A l B)=P(A and B) P(B) P(B) is usually following “given that…”

Conditional Probability 1) You toss two coins. What is the probability that you toss two heads given that you have tossed at least 1 head? P(A) = The two coins come up heads P(B) = There is a least one head Different outcomes of two coins? (H,H)-(T,H)-(H,T)-(T,T)

2) A neighborhood lets families have two pets 2) A neighborhood lets families have two pets. They can have two dogs, two cats, or one of each. What is the probability that the family will have exactly 2 cats if one pet is a cat? Sample space: P(A) = Two cats = P(B) = At least one cat= P (A l B) =

3) Two number cubes are tossed 3) Two number cubes are tossed. Find the probability that the numbers showing on the cubes match given that their sum is greater than five.

4) One card is drawn from a standard deck of cards 4) One card is drawn from a standard deck of cards. What is the probability that it is a queen given that it is a face card?