Chris Morgan, MATH G160 January 18, 2012 Lecture 4 Chapter 4.4: Independence 1.

Slides:



Advertisements
Similar presentations
Simple Probability and Odds
Advertisements

Chapter 4 Probability: Probabilities of Compound Events
Questions, comments, concerns? Ok to move on? Vocab  Trial- number of times an experiment is repeated  Outcomes- different results possible  Frequency-
MAT 103 Probability In this chapter, we will study the topic of probability which is used in many different areas including insurance, science, marketing,
Probability Sample Space Diagrams.
In this chapter we introduce the basics of probability.
Multiplication Rules for Probability Independent Events Two events are independent if the fact that A occurs does not affect the probability of B occuring.
Games of probability What are my chances?. Roll a single die (6 faces). –What is the probability of each number showing on top? Activity 1: Simple probability:
8.7 Probability. Ex 1 Find the sample space for each of the following. One coin is tossed. Two coins are tossed. Three coins are tossed.
Chapter 4 Using Probability and Probability Distributions
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 4-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
1 Probability Parts of life are uncertain. Using notions of probability provide a way to deal with the uncertainty.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Laws of Probability What is the probability of throwing a pair of dice and obtaining a 5 or a 7? These are mutually exclusive events. You can’t throw.
Chapter 6 Probabilit y Vocabulary Probability – the proportion of times the outcome would occur in a very long series of repetitions (likelihood of an.
Chapter 6 Probability.
Academy Algebra II/Trig 14.3: Probability HW: worksheet Test: Thursday, 11/14.
Copyright © 2015, 2011, 2008 Pearson Education, Inc. Chapter 7, Unit A, Slide 1 Probability: Living With The Odds 7.
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
Elementary Probability Theory
Conditional Probability and Independence If A and B are events in sample space S and P(B) > 0, then the conditional probability of A given B is denoted.
Probabilities when Outcomes are Equally Likely. Math Message Which phrase – Extremely likely chance, or Very Unlikely best describes the chance.
Conditional Probability
“PROBABILITY” Some important terms Event: An event is one or more of the possible outcomes of an activity. When we toss a coin there are two possibilities,
Simple Mathematical Facts for Lecture 1. Conditional Probabilities Given an event has occurred, the conditional probability that another event occurs.
CONFIDENTIAL 1 Algebra1 Theoretical Probability. CONFIDENTIAL 2 Warm Up 1) choosing a heart. 2) choosing a heart or a diamond. An experiment consists.
Warm-Up 1. What is Benford’s Law?
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.
Chapter 1:Independent and Dependent Events
Chapter 5.1 Probability Distributions.  A variable is defined as a characteristic or attribute that can assume different values.  Recall that a variable.
Sec 4.4 The multiplication Rule and conditional probability.
Chapter 4.3 Multiplication Rules.
Warm-Up A woman and a man (unrelated) each have two children .
Chapter 12 – Probability and Statistics 12.4 – Multiplying Probabilities.
Copyright © 2011 Pearson Education, Inc. Probability: Living with the Odds Discussion Paragraph 7A 1 web 70. Blood Groups 71. Accidents 1 world 72. Probability.
Algebra II 10.4: Find Probabilities of Disjoint and Overlapping Events HW: HW: p.710 (8 – 38 even) Chapter 10 Test: Thursday.
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
1 Probability: Liklihood of occurrence; we know the population, and we predict the outcome or the sample. Statistics: We observe the sample and use the.
MA 485/585 Probability Theory (Dr Chernov). Five cards Five cards are labeled 1,2,3,4,5. They are shuffled and lined up in an arbitrary order. How many.
Introduction to Probability (Dr. Monticino). Assignment Sheet  Read Chapters 13 and 14  Assignment #8 (Due Wednesday March 23 rd )  Chapter 13  Exercise.
1 Chapter 3. Section 3-4. Triola, Elementary Statistics, Eighth Edition. Copyright Addison Wesley Longman M ARIO F. T RIOLA E IGHTH E DITION E LEMENTARY.
Probability.
Math 30-2 Probability & Odds. Acceptable Standards (50-79%)  The student can express odds for or odds against as a probability determine the probability.
Independent Events Lesson Starter State in writing whether each of these pairs of events are disjoint. Justify your answer. If the events.
Do Now. Introduction to Probability Objective: find the probability of an event Homework: Probability Worksheet.
DISCRETE PROBABILITY MODELS
Statistics.  Probability experiment: An action through which specific results (counts, measurements, or responses) are obtained.  Outcome: The result.
PROBABILITY What is the probability of flipping a head? There is a 1 in 2 chance – ½ = 0.5.
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 ?
No Warm-Up today. You have a Quiz Clear your desk of everything but a calculator and something to write with.
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.
Counting Techniques (Dr. Monticino). Overview  Why counting?  Counting techniques  Multiplication principle  Permutation  Combination  Examples.
Microsoft produces a New operating system on a disk. There is 0
Chance We will base on the frequency theory to study chances (or probability).
Sample Spaces and Probability Addition Rules Multiplication Rules and Conditional Probability Counting Rules Probability and Counting Rules
Probability. Definitions Probability: The chance of an event occurring. Probability Experiments: A process that leads to well- defined results called.
1 What Is Probability?. 2 To discuss probability, let’s begin by defining some terms. An experiment is a process, such as tossing a coin, that gives definite.
Essential Ideas for The Nature of Probability
Mathematics Department
Aim: What is the multiplication rule?
What Is Probability?.
Chapter 4 Probability Concepts
Probability.
Warm Up Which of the following are combinations?
Probabilities and Proportions
Unit 1: Basic Probability
Combination and Permutations Quiz!
Probability: Living with the Odds
Mutually Exclusive Events
Presentation transcript:

Chris Morgan, MATH G160 January 18, 2012 Lecture 4 Chapter 4.4: Independence 1

2

3 Two events are independent if the occurrence of one of the events gives us NO information about whether or not the other event will occur; that is, the events have no influence on each other. In probability theory we say that two events, A and B, are independent if the probability that they both occur is equal to the product of the probabilities of the two individual events:

Independence 4 The idea of independence can be extended to more than two events. For example, A, B and C are independent if: - A and B are independent - A and C are independent and B and C are independent (pairwise independence)

Independence 5 Suppose that a man and a woman each have a pack of 52 playing cards. Each draws a card from his/her pack. Find the probability that they each draw the ace of clubs. We define the events: - A = probability that man draws ace of clubs = 1/52 - B = probability that woman draws ace of clubs = 1/52 Clearly events A and B are independent so: P(A ∩ B) = P(A)P(B) = 1/52 * 1/52 = That is, there is a very small chance that the man and the woman will both draw the ace of clubs.

Deck of cards breakdown: 52 total, 26 red and 26 black, of the red we have 13 hearts, 13 diamonds, of the black we have 13 spades and 13 clubs P(8) =P(8|H) = P(8 c |H c ) = Independence 6 HA JQK DA JQK CA JQK SA JQK

Deck of cards breakdown: 52 total, 26 red and 26 black, of the red we have 13 hearts, 13 diamonds, of the black we have 13 spades and 13 clubs These events are known as independent events. Knowing the outcome of one event (heart) does not influence the outcome of the other event (eight). Independence 7 HA JQK DA JQK CA JQK SA JQK

Independence 8 In general: If A and B are events of a sample space, where P(B)>0 (not an impossible event), A is independent of B if the occurrence of B does not affect the probability that A occurs. If P(A|B) = P(A) then A and B are independent. When A and B are independent: A and BC ; AC and B and AC and BC, will all be independent of each other. To PROVE Independence show either : or:

Deck of cards breakdown: 52 total, 26 red and 26 black, of the red we have 13 hearts, 13 diamonds, of the black we have 13 spades and 13 clubs P (Red and 10) = P(Face Card and Black) = Independence 9 HA JQK DA JQK CA JQK SA JQK

Deck of cards breakdown: 52 total, 26 red and 26 black, of the red we have 13 hearts, 13 diamonds, of the black we have 13 spades and 13 clubs P (Diamond | {2, 3, 4, 5}) = P (2 and spade | black) = Independence 10 HA JQK DA JQK CA JQK SA JQK

Deck of cards breakdown: 52 total, 26 red and 26 black, of the red we have 13 hearts, 13 diamonds, of the black we have 13 spades and 13 clubs Are the events [Ace] and [Heart] independent? How about [Red] and [10] or [Face Card] and [Black]? Independence 11 HA JQK DA JQK CA JQK SA JQK

Independence [example 11] 12 A red die and a white die are rolled: Event A = {4 on the red die} Event B = {sum of dice is odd} Find the following: a) P(A) c) P(A B) b) P(B) d) P(A)P(B)

Independence [example 12] 13 Insurance companies assume that there is a difference between gender and your likelihood of getting into an accident which is why women generally have lower insurance rates than men. We did a study to see the number of accidents that occurred according to gender. We found: 60% of the population was male 86% of the population was either male OR got into an accident 35% of the population are accident free Does this study indicate that the likelihood of one to get into an accident depends on gender?

Independence [example 13] 14 Flip a fair coin five independent times. Compute the probability of : a) HHHTT b) HTHTH c) TTHHT d) Three heads occurring in the five trials?

Independence [example 14] 15 An urn contains two red balls and four white balls. Sample successively five times at random and with replacement so that the trials are independent. Compute the probability of: a) WWRRW b) RRWWR c) Four whites in five trials?

Independence [example 15] 16 An urn contains five balls, one marked WIN and four marked LOSE. You and another player take turns selecting a ball from the urn, one at a time. The first person to select the WIN ball is the winner. If you draw first, find the probability that you will win if the sampling is done: a) Without replacement b) With replacement

Independence [example 16] 17 An urn contains 10 red ball and 10 white balls. The balls are drawn from the urn at random, one at a time. Find the probability that the fourth white ball is the sixth ball drawn if the sampling is done: a) With replacement b) Without replacement c) In the World Series the American League (red) and the National League (white) teams play until one team wins four games. Do you think this urn model could be used to describe the probabilities of a 4-, 5-, 6-, or 7-games series? If your answer is yes, would you choose sampling with or without replacement?

Independence [example 17] 18 Suppose you are fishing in a pond which contains 20 fish of which 12 are bass (B) and 8 are blue gill (G). Every time you catch a fish you record its species and release it back into the pond. If we assume the fish have no memory, then every time you catch and release a fish it is like you are starting all over again, in other the trials (species you catch) will be independent. If you decide to fish until you catch 10, find the probability of observing the following sequences of caught fish species: a) BGBGBGBGBG b) GGGGGBBBBB c) BBBBBBBBBB d) At least one blue gill e) Exactly 5 bass and 5 blue gill

Independence [example 18] 19 The Minnesota Twins win with a probability 0.6. All games are independent and the success or failure of the Twins does not depend on past successes or failures (so no streaks of any kind). You watch the next 3 games. P(W1 and W2) = P(win next 3 games) = P(win AT LEAST 1 of next 3 games) = P(win EXACTLY 1 of next 3 games) = P(1st win is the 3rd game) =

Independence [example 19] 20 Me and my roommates each have a car: Julia has a Mercedes-Benz SLK which works with probability 0.98 Alex has a Mercelago Diablo which works with probability 0.91 Chris has a P.O.S GMC Jimmy which works with probability 0.24 P(at least one car works) = P(Exactly one works) =