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.

Slides:



Advertisements
Similar presentations
Discrete Random Variables To understand what we mean by a discrete random variable To understand that the total sample space adds up to 1 To understand.
Advertisements

Lecture Discrete Probability. 5.2 Recap Sample space: space of all possible outcomes. Event: subset of of S. p(s) : probability of element s of.
1 Press Ctrl-A ©G Dear2009 – Not to be sold/Free to use Tree Diagrams Stage 6 - Year 12 General Mathematic (HSC)
Mathematics.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
Unit 18 Section 18C The Binomial Distribution. Example 1: If a coin is tossed 3 times, what is the probability of obtaining exactly 2 heads Solution:
Chapter 3 Section 3.3 Basic Rules of Probability.
Probability – Compound Events. What is a Compound Event? It is the probability of two or more things happening at once.
1 Algorithms CSCI 235, Fall 2012 Lecture 9 Probability.
Chapter 3 Section 3.6 Conditional Probability. The interesting questions that probability can answer are how much one event will effect another. Does.
You can make an organized list to show all possible
Chapter 3 Section 3.2 Basic Terms of Probability.
ENGG 2040C: Probability Models and Applications Andrej Bogdanov Spring Conditional probability.
S.CP.A.1 Probability Basics. Probability - The chance of an event occurring Experiment: Outcome: Sample Space: Event: The process of measuring or observing.
Two way tables and tree diagrams
Lecture 1 Sec
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Copyright © Cengage Learning. All rights reserved. 8.6 Probability.
3. Conditional probability
Binomial Distribution
Slide Active Learning Questions Copyright © 2009 Pearson Education, Inc. For use with classroom response systems Chapter 6 Probability in Statistics.
Probability Distributions
Random Variables Learn how to characterize the pattern of the distribution of values that a random variable may have, and how to use the pattern to find.
Mathematics Probability: Events Science and Mathematics Education Research Group Supported by UBC Teaching and Learning Enhancement Fund Department.
Section 2.8 Probability and Odds Objectives: Find the probability of an event Find the odds of an event.
12.1/12.2 Probability Quick Vocab: Random experiment: “random” act, no way of knowing ahead of time Outcome: results of a random experiment Event: a.
Discrete Probability Distributions
MATH 256 Probability and Random Processes Yrd. Doç. Dr. Didem Kivanc Tureli 14/10/2011Lecture 3 OKAN UNIVERSITY.
Discrete Math Section 16.3 Use the Binomial Probability theorem to find the probability of a given outcome on repeated independent trials. Flip a coin.
Math 145 September 18, Terminologies in Probability  Experiment – Any process that produces an outcome that cannot be predicted with certainty.
Lecturer : FATEN AL-HUSSAIN Discrete Probability Distributions Note: This PowerPoint is only a summary and your main source should be the book.
9.3 Experimental Probability. 9.3 Ten students each have a penny. If student 1 tosses the penny, what is the probability that it will land on heads? If.
Binomial Probability Theorem In a rainy season, there is 60% chance that it will rain on a particular day. What is the probability that there will exactly.
Warm Up 1. Gretchen is making dinner. She has tofu, chicken and beef for an entrée, and French fries, salad and corn for a side. If Ingrid has 6 drinks.
Warm Up 1. Ingrid is making dinner. She has tofu, chicken and beef for an entrée, and French fries, salad and corn for a side. If Ingrid has 6 drinks to.
Chapter 5 Discrete Probability Distributions 1. Chapter 5 Overview 2 Introduction  5-1 Probability Distributions  5-2 Mean, Variance, Standard Deviation,
Chapter 10 PROBABILITY. Probability Terminology  Experiment: take a measurement Like flipping a coin  Outcome: one possible result of an experiment.
Chapter 22 E. Outcomes of Different Events When the outcome of one event affects the outcome of a second event, we say that the events are dependent.
Lesson 10: Using Simulation to Estimate a Probability Simulation is a procedure that will allow you to answer questions about real problems by running.
Copyright © 2009 Pearson Education, Inc.
Terminologies in Probability
2.3 Probability and Odds Objective: Given a description an event, find the probability and/or the odds of the event happening (including replacement and.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
Algorithms CSCI 235, Fall 2017 Lecture 10 Probability II
CS104:Discrete Structures
Math 145 September 25, 2006.
AND.
Sample Spaces, Subsets and Basic Probability
Probability.
Chapter 9 Section 1 Probability Review.
Warm Up Which of the following are combinations?
Terminologies in Probability
Lesson 10.1 Sample Spaces and Probability
Statistical Inference for Managers
Terminologies in Probability
King Saud University Women Students
Terminologies in Probability
Tree diagrams Tree diagrams are used to display the sample space for the experiment or game. The tree branches out once for every stage of the experiment.
Warm Up Ash Ketchum needs a water, fire, and grass type Pokemon team. He can choose from the following: Water: Squirtle, Lapras, Totodile Fire: Charizard,
Terminologies in Probability
©G Dear 2009 – Not to be sold/Free to use
Basic Probability Unit 6 – probability.
Sample Spaces, Subsets and Basic Probability
Algorithms CSCI 235, Spring 2019 Lecture 10 Probability II
Math 145 June 26, 2007.
Terminologies in Probability
6.2 Probability Models.
Math 145 February 12, 2008.
Terminologies in Probability
Presentation transcript:

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 other has occurred. In terms of probability this means the conditional probability is the same as the original (i.e. P(A) = P(A | B) ). Example: Experiment: Flip 3 coins S ={ HHH,HHT,HTH,HTT,THH,THT,TTH,TTT } F : The event the first coin is a head. A : The event all coins are the same. P(A) =The chance all coins are the same = S A F HHH HHT HTH THH HTT THT TTH TTT P(A | F) = The chance all are the same given or assuming the first is a head. These two events are independent the fact that one happens does not change the chance the other will happen.

Example A man is tested and finds that he has a 70% chance of fathering a girl (G) each time he has a child. If he decides he will father 2 children and each time he has a child his chance of fathering a girl is independent of the previous time, draw a probability tree that shows all the possibilities for having two children along with their probabilities. G B G G B B P( GG ) = (.7)(.7) =.49 = 49% P( GB ) = (.7)(.3) =.21 = 21% P( BG ) = (.3)(.7) =.21 = 21% P( BB ) = (.3)(.3) =.09 = 9% Notice that if you add up all the probabilities at the end you will get 1 if you use decimals and 100% if you use percentages. What is the probability both children will be the same sex? 58% (i.e. 49%+9%) What is the probability at least one is a girl? 91% (i.e. 49%+21%+21%)

Example Two baseball teams A and B will play a "best of 3" series. Team A wins over team B 60% of the time and each game they play is independent of the previous games. Draw a probability tree that shows all possible outcomes of the series. A B.6.4 A A B B A B.6.4 A B P (AA) = (.6)(.6) =.36 = 36% P (ABA) = (.6)(.4)(.6) =.144 = 14.4% P (ABB) = (.6)(.4)(.4) =.096 = 9.6% P (BAA) = (.4)(.6)(.6) =.144 = 14.4% P (BAB) = (.4)(.6)(.4) =.096 = 9.6% P (BB) = (.4)(.4) =.16 = 16% What is the probability A wins the series? P (AA) + P (ABA) + P (BAA) = 36% % % = 64.8% What is the probability the series is a sweep? (i.e. only goes 2 games) P (AA) + P (BB) = 36% + 16% = 52%