THE NATURE OF PROBABILITY Copyright © Cengage Learning. All rights reserved. 13.

Slides:



Advertisements
Similar presentations
Warm Up How do I know this is a probability distribution?
Advertisements

A measurement of fairness game 1: A box contains 1red marble and 3 black marbles. Blindfolded, you select one marble. If you select the red marble, you.
Clear your desk for your quiz. Unit 2 Day 8 Expected Value Average expectation per game if the game is played many times Can be used to evaluate and.
Random Variables.  A random variable assumes a value based on the outcome of a random event. ◦ We use a capital letter, like X, to denote a random variable.
6-1 Stats Unit 6 Sampling Distributions and Statistical Inference - 1 FPP Chapters 16-18, 20-21, 23 The Law of Averages (Ch 16) Box Models (Ch 16) Sampling.
Management 3 Quantitative Analysis Winter 2015 Expected Value.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.4, Slide 1 13 Probability What Are the Chances?
Warm up 1)We are drawing a single card from a standard deck of 52 find the probability of P(seven/nonface card) 2)Assume that we roll two dice and a total.
Expected Value, the Law of Averages, and the Central Limit Theorem
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 15 Chances, Probabilities, and Odds 15.1Random Experiments and.
Expected Value Section 3.5. Definition Let’s say that a game gives payoffs a 1, a 2,…, a n with probabilities p 1, p 2,… p n. The expected value ( or.
Copyright © Cengage Learning. All rights reserved. CHAPTER 9 COUNTING AND PROBABILITY.
Probabilities of common Games How do I avoid bad bets?
Chapter 14 sec 4 Expected Value. Questions How many of you have car insurance? How many of you have health insurance? Do you wonder how the insurance.
Warm-up The mean grade on a standardized test is 88 with a standard deviation of 3.4. If the test scores are normally distributed, what is the probability.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.4, Slide 1 13 Probability What Are the Chances?
Honors Precalculus: Do Now 1.) You are betting with your friend. Every time you flip heads, your friend pays you a dollar. Every time you flip tails, you.
College Algebra Sixth Edition James Stewart Lothar Redlin Saleem Watson.
Section 8.2: Expected Values
Chapter 3 Section 3.5 Expected Value. When the result of an experiment is one of several numbers, (sometimes called a random variable) we can calculate.
Section 11.6 Odds and Expectation Math in Our World.
Chapter 6 Random Variables. Make a Sample Space for Tossing a Fair Coin 3 times.
Casinos There’s a reason they are big and extravagant!
TIMES 3 Technological Integrations in Mathematical Environments and Studies Jacksonville State University 2010.
POSC 202A: Lecture 5 Today: Expected Value. Expected Value Expected Value- Is the mean outcome of a probability distribution. It is our long run expectation.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 11 Counting Methods and Probability Theory.
III. Probability B. Discrete Probability Distributions
Section 13.4 Expected Value. Objectives 1. Compute expected value. 2. Use expected value to solve applied problems. 3. Use expected value to determine.
1 M14 Expected Value, Discrete  Department of ISM, University of Alabama, ’95,2002 Lesson Objectives  Understand the meaning of “expected value.” (Know.
Outline Random processes Random variables Probability histograms
Copyright © 2011 Pearson Education, Inc. Probability: Living with the Odds Discussion Paragraph 7B 1 web 59. Lottery Chances 60. HIV Probabilities 1 world.
Dependent and Independent Events. Events are said to be independent if the occurrence of one event has no effect on the occurrence of another. For example,
Copyright © 2011 Pearson Education, Inc. Publishing as Prentice Hall.
Probability Post-Class Activity. Review of class Empirical probability – based on observed data. Theoretical probability – based on a model of the experiment.
By: Holly Straub.  Usually up to eight players, play against the House.
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 12.4 Expected Value (Expectation)
Expected Value. Expected Value - Definition The mean (average) of a random variable.
13.4 Expected Value Understand the meaning of expected value. Understand the meaning of expected value. Use expected value to solve applied problems. Use.
Expected Value.
Gambling Because why not?. Blackjack and card counting Card counting is a casino card game strategy used primarily in the blackjack family of casino games.
MM207 Statistics Welcome to the Unit 7 Seminar With Ms. Hannahs.
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.
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
Introduction to Probability (Dr. Monticino). Assignment Sheet  Read Chapters 13 and 14  Assignment #8 (Due Wednesday March 23 rd )  Chapter 13  Exercise.
1 Mathematical Expectation Mathematical Expectation Ernesto Diaz, Mathematics Department Redwood High School.
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Middle Tennessee State University ©2013, MTStatPAL.
Copyright © Cengage Learning. All rights reserved. The Binomial Probability Distribution and Related Topics 6.
A die is rolled. What is the probability that the number showing is odd? Select the correct answer
Copyright © 2011 Pearson Education, Inc. Probability: Living with the Odds Discussion Paragraph 7B 1 web 59. Lottery Chances 60. HIV Probabilities 1 world.
Chance We will base on the frequency theory to study chances (or probability).
The expected value The value of a variable one would “expect” to get. It is also called the (mathematical) expectation, or the mean.
Gambling and probability 1. Odds and football.  Predict the Premier League results for this weekend.  Can you estimate the probability of a win/draw/loss.
PROBABILITY DISTRIBUTIONS. Probability Distribution  Suppose we toss a fair coin 3 times. What is the sample space?  What is the probability for each.
Thinking Mathematically Expected Value. Expected value is a mathematical way to use probabilities to determine what to expect in various situations over.
Copyright © 2009 Pearson Education, Inc. 6.3 Probabilities with Large Numbers LEARNING GOAL Understand the law of large numbers, use this law to understand.
The Law of Averages. What does the law of average say? We know that, from the definition of probability, in the long run the frequency of some event will.
Thinking Mathematically Events Involving And; Conditional Probability.
Copyright © Cengage Learning. All rights reserved. The Binomial Probability Distribution and Related Topics 5.
Honors Stats 4 Day 9 Chapter 16. Do Now Check Your Homework Homework: Chapter 16 p. 382 #1, 2, 4, 5, 6, 17, 18 Objective: SWBAT understand and calculate.
Copyright © Cengage Learning. All rights reserved. 8 PROBABILITY DISTRIBUTIONS AND STATISTICS.
Copyright © Cengage Learning. All rights reserved. Probability and Statistics.
Copyright © Cengage Learning. All rights reserved.
CHAPTER 6 Random Variables
Probability: Living with the Odds
Foreigner - Cold as Ice
13.4 Expected Value.
Counting Methods and Probability Theory
Freebird Midnight Train to GA
Counting Methods and Probability Theory
Presentation transcript:

THE NATURE OF PROBABILITY Copyright © Cengage Learning. All rights reserved. 13

Copyright © Cengage Learning. All rights reserved Mathematical Expectation

3 Expected Value

4 Choke-up toothpaste is giving away $10,000. All you must do to have a chance to win is send a postcard with your name on it (the fine print says you do not need to buy a tube of toothpaste). Is it worthwhile to enter? Suppose the contest receives 1 million postcards (a conservative estimate). We wish to compute the expected value (or your expectation) of winning this contest.

5 Expected Value We find the expectation for this contest by multiplying the amount to win by the probability of winning: EXPECTATION = (AMOUNT TO WIN)  (PROBABILITY OF WINNING)

6 Expected Value What does this expected value mean? It means that if you were to play this “game” a large number of times, you would expect your average winnings per game to be $0.01.

7 Expected Value Is the “Choke-up toothpaste giveaway” game fair? If the toothpaste company charges you 1¢ to play the game, then it is fair. But how much does the postcard cost? If you include this cost, then there is a negative expectation. We see that this is not a fair game.

8 Example 1 – Find the expected value for drawing a card Suppose that you draw a card from a deck of cards and are paid $10 if it is an ace. What is the expected value? Solution: EXPECTATION = $10   $0.77

9 Expected Value

10 Expected Value Since we know that p 1 + p 2 + ··· p n = 1, we note that in many examples some of the probabilities may be 0. For Example 1, we might have said that there are two different payoffs: $10 if you draw an ace (probability ) and $0 otherwise (probability ), so that

11 Expectation with a Cost of Playing

12 Expectation with a Cost of Playing Many games charge you a fee to play. If you must pay to play, this cost of playing should be taken into consideration when you calculate the expected value. Remember, if the expected value is 0, it is a fair game; if the expected value is positive, you should play, but if it is negative, you should not.

13 Example 6 – Decide to play or not to play Consider a game that consists of drawing a card from a deck of cards. If it is a face card, you win $20. Should you play the game if it costs $5 to play? Solution: You should not play this game, because it has a negative expectation.

14 Expectation with a Cost of Playing An example of the latter is a U.S. roulette game, in which your bet is placed on the table but is not collected until after the play of the game and it is determined that you lost.

15 Expectation with a Cost of Playing A U.S. roulette wheel has 38 numbered slots (1–36, 0, and 00), as shown in Figure Figure 13.8 U.S. roulette wheel and board

16 Expectation with a Cost of Playing Some of the more common roulette bets and payoffs are shown. If the payoff is listed as 6 to 1, you would receive $6 for each $1 bet. In addition, you would keep the $1 you originally wagered. One play consists of having the croupier spin the wheel and a little ball in opposite directions. As the ball slows to a stop, it lands in one of the 38 numbered slots, which are colored black, red, or green. A single number bet has a payoff of 35 to 1.

17 Example 8 – Find a roulette expectation What is the expectation for playing roulette if you bet $1 on number 5? Solution: The $1 you bet is collected only if you lose. Now, you can calculate the expected value: The expected loss is about 5¢ per play.