The Definition Of Conditional Probabilities The conditional probabilities of an event B given event A is the probability that B will occur given that.

Slides:



Advertisements
Similar presentations
Homework Answers 9) 6/24 + 6/24 = 12/24 or ½ 11) 12/ /24 = 24/24 or 1 23) P(2 and A) = (1/6 * 1/5) = 1/30 P(2 and B) = (1/6 * 1/5) = 1/30 P(2 and.
Advertisements

Probability Sample Space Diagrams.
Chapter one Probability.
Mutually Exclusive Events
7.7 Simple Probability Obj: to complete the probability of simple events.
PROBABILITY  A fair six-sided die is rolled. What is the probability that the result is even?
AP Statistics Probability.
PROBABILITY OF INDEPENDENT AND DEPENDENT EVENTS SECTION 12.5.
Mutually Exclusive and Inclusive Events
MA 102 Statistical Controversies Monday, April 1, 2002 Today: Randomness and probability Probability models and rules Reading (for Wednesday): Chapter.
Conditional Probability and Independence Section 3.6.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Key Concepts of the Probability Unit
5.2A Probability Rules! AP Statistics.
Chapter 6 Probabilit y Vocabulary Probability – the proportion of times the outcome would occur in a very long series of repetitions (likelihood of an.
Math 409/409G History of Mathematics
Probability of Simple Events
Bell Quiz.
Chapter 7: Probability Lesson 2: Addition Counting Principles Mrs. Parziale.
Chapter 1:Independent and Dependent Events
Chapter 6 Lesson 9 Probability and Predictions pgs What you’ll learn: Find the probability of simple events Use a sample to predict the actions.
Warm Up a) 41 b) Alternative c) 14/41 = 34%. HW Check.
Simple Probability Pre-Ap Geometry. Probability measures the likelihood that a particular event will occur. The measures are express as a ratio. Simple.
Lesson 2.6- Simple Probability and Odds, pg. 96 Objectives: To find the probability of a simple event. To find the odds of a simple event.
Mutually Exclusive and Inclusive Events
EXAMPLE 4 Find probabilities of complements Dice When two six-sided dice are rolled, there are 36 possible outcomes, as shown. Find the probability of.
PROBABILITY (Theoretical) Predicting Outcomes. What is probability? Probability refers to the chance that an event will happen. Probability is presented.
Probability Basics Section Starter Roll two dice and record the sum shown. Repeat until you have done 20 rolls. Write a list of all the possible.
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.
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Probability of Simple Events
Introduction to Probability By Dr. Carol A. Marinas.
Unit 4: Probability Day 2: Basic Probability. Standards and Benchmarks Select and apply counting procedures, such as the multiplication and addition.
Probability and Simulation The Study of Randomness.
Independent and Dependent Events Lesson 6.6. Getting Started… You roll one die and then flip one coin. What is the probability of : P(3, tails) = 2. P(less.
ROLL A PAIR OF DICE AND ADD THE NUMBERS Possible Outcomes: There are 6 x 6 = 36 equally likely.
Transparency 9 Click the mouse button or press the Space Bar to display the answers.
8.7 – Probability. Probability Probability = the likelihood that an event will occur Outcomes = possible results of an event Probability formula: P(event)
If ONE student was to be selected at random, find the following probabilities: The student is a boyThe student has green eyes The student is left-handed.
2-6 Probability Theoretical & Experimental. Probability – how likely it is that something will happen – Has a range from 0 – 1 – 0 means it definitely.
Probability What is the probability of rolling “snake eyes” in one roll? What is the probability of rolling “yahtzee” in one roll?
 Students will be able to find theoretical and experimental probabilities.
Probability of Independent and Dependent Events 11-5.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Calculate theoretical probabilities and find the complement of an event.
EXAMPLE FORMULA DEFINITION 1.
Mathematics Department
CHAPTER 5 Probability: What Are the Chances?
Basic Probability CCM2 Unit 6: Probability.
Section 12.2 Probability.
= Basic Probability Notes Basics of Probability Probability
PROBABILITY What are the chances?.
Mutually Exclusive and Inclusive Events
Basic Probability CCM2 Unit 6: Probability.
Probability.
Probability.
Pearson Unit 6 Topic 15: Probability 15-1: Experimental and Theoretical Probability Pearson Texas Geometry ©2016 Holt Geometry Texas ©2007.
Warm- Up #1 Monday, 2/1/2016 Reflect on your first semester in your math class and answer the following questions: Write three new things that you have.
Mutually Exclusive and Inclusive Events
CONDITIONAL PROBABILITY
Probability.
Chapter 4 Section 1 Probability Theory.
Section 11.7 Probability.
Theoretical and Experimental Probability
I flip a coin two times. What is the sample space?

Review for the Quiz.
Mutually Exclusive and Inclusive Events
Mutually Exclusive and Inclusive Events
Theoretical Probability
Presentation transcript:

The Definition Of Conditional Probabilities The conditional probabilities of an event B given event A is the probability that B will occur given that A has occurred, and is a probability base on a reduce sample space.

The Formula Of Conditional Probability The conditional probability of event B given event A is defined as

Two fair dice are rolled. Find the probability that a)both numbers turned up are the same,given that the sum of the numbers is greater than 6. Answer:The required probability = P(A | B)

b)The sum of the numbers turned up is greater than 6,given that both numbers are the same. Answer:The required probability=P(B|A)

a)

b) The number is ‘8’, given that the dice is red. Answer: The required probability = P(‘8’|red)

c)the number is even,given that the dice is red. Answer:The required probability =P(even | red)