Expected Value and Fair Games. SyllabusSyllabus Prior Knowledge: Understanding of basic Probability theory.

Slides:



Advertisements
Similar presentations
Probability Part II.
Advertisements

Discrete Distributions
Expected Value. When faced with uncertainties, decisions are usually not based solely on probabilities A building contractor has to decide whether to.
7.4 The Mean Its time for another Raffle!!! Another local charity is holding a raffle. They are selling 1,000 tickets for $25 each. 1 st Prize: $5,000.
Probability: The Study of Randomness Chapter Randomness Think about flipping a coin n times If n = 2, can have 2 heads (100% heads), 1 heads and.
Lesson Objective Be able to calculate probabilities for Binomial situations Begin to recognise the conditions necessary for a Random variable to have a.
Section 7A: Fundamentals of Probability Section Objectives Define outcomes and event Construct a probability distribution Define subjective and empirical.
MA-250 Probability and Statistics Nazar Khan PUCIT Lecture 13.
Expected Value, the Law of Averages, and the Central Limit Theorem
DGame Task Task 1Task 2Task 3Task 4 Task 5Task 6Task 7Task 8 Task 9Task 10Task 11 NC Level 3 to 8.
SECTION 4.1 BASIC IDEAS Copyright ©2014 The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Probability. The probability of an event occurring is between 0 and 1 If an event is certain not to happen, the probability is 0 eg: the probability of.
A Collaboration between: Los Angeles USD University of California, San Diego San Diego State University University of California, Irvine Preparing for.
Probability.
Random Variables A Random Variable assigns a numerical value to all possible outcomes of a random experiment We do not consider the actual events but we.
Expected Value.  In gambling on an uncertain future, knowing the odds is only part of the story!  Example: I flip a fair coin. If it lands HEADS, you.
4-2 Basic Concepts of Probability This section presents three approaches to finding the probability of an event. The most important objective of this section.
Using Tinkerplots Ruth Kaniuk Endeavour Teacher Fellow, 2013.
The probability of an event based on the fact that some other event has occurred, will occur, or is occurring. P(B/A) = Conditional Probability The probability.
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.
My game… You pay £1 to play I roll a dice If it lands on 1 or 2 you win £1.50 If it lands on 3, 4, 5, 6 you lose Will this game make me a profit if 10.
Chapter 12 Probability © 2008 Pearson Addison-Wesley. All rights reserved.
Mathematical Expectation Making the game fair. Make the Bet = X (we need to figure it out) Create the Table Under the column for outcome (O) subtract.
Chapter 4 Probability Lecture 1 Sections: 4.1 – 4.2.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 5.1.
Discrete Probability Distributions Lecture 1 Sections: 5.1 – 5.2
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.
Advanced Math Topics Chapters 4 and 5 Review. 1) A family plans to have 3 children. What is the probability that there will be at least 2 girls? (assume.
Chapter 7 Random Variables I can find the probability of a discrete random variable. 6.1a Discrete and Continuous Random Variables and Expected Value h.w:
Probability Review and Counting Fundamentals Ginger Holmes Rowell, Middle TN State University Tracy Goodson-Espy and M. Leigh Lunsford, University of AL,
Notes, examples and problems presented by Del Ferster.
Aim: How do we find the probability of a simple event? Complete Worksheet.
SECTION 11-5 Expected Value Slide EXPECTED VALUE Expected Value Games and Gambling Investments Business and Insurance Slide
Chapter 5 Discrete Probability Distributions Lecture 1 Sections: 5.1 – 5.2.
Introduction to Probability Ginger Holmes Rowell, Middle TN State University MSP Workshop June 2007.
TIMES 3 Technological Integrations in Mathematical Environments and Studies Jacksonville State University 2010.
1 MAT116 Chapter 4: Expected Value : Summation Notation  Suppose you want to add up a bunch of probabilities for events E 1, E 2, E 3, … E 100.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 11 Counting Methods and Probability Theory.
1 M14 Expected Value, Discrete  Department of ISM, University of Alabama, ’95,2002 Lesson Objectives  Understand the meaning of “expected value.” (Know.
1.3 Simulations and Experimental Probability (Textbook Section 4.1)
Chapter 4 Probability Lecture 1 Sections: 4.1 – 4.2.
Probability Part 3 – What is Probability?. Probability Warm-up How many ways can a dinner patron select 3 appetizers and 2 vegetables if there are 6 appetizers.
Probability and Simulation GENERATING SAMPLE SPACE.
Section 11.4 Tree Diagrams, Tables, and Sample Spaces Math in Our World.
Expected Value.
MM1D2d: Use expected value to predict outcomes
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Introducing probability BPS chapter 9 © 2006 W. H. Freeman and Company.
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
The Mean of a Discrete Random Variable Lesson
Thinking Mathematically Expected Value. Expected value is a mathematical way to use probabilities to determine what to expect in various situations over.
© 2008 Pearson Addison-Wesley. All rights reserved Probability Level 8 The key idea of probability at Level 8 is investigating chance situations.
In games of chance the expectations can be thought of as the average outcome if the game was repeated multiple times. Expectation These calculated expectations.
AP Statistics Chapter 8 Section 1. A gaggle of girls The Ferrell family have 3 children: Jennifer, Jessica, and Jaclyn. If we assume that a couple is.
12.3 Probability of Equally Likely Outcomes
Chapter 11 Probability.
MATH 2311 Section 3.1.
Introduction to Probability
Section 5.1 Basic Ideas.
Student Activity 1: Fair trials with two dice
Elementary Statistics
MATH 2311 Section 3.1.
Expected Value and Fair Games
Counting Methods and Probability Theory
MATH 2311 Section 3.1.
Chapter 1 Expected Value.
Tree diagrams and tables
Chapter 4 Probability.
Counting Methods and Probability Theory
MATH 2311 Section 3.1.
Presentation transcript:

Expected Value and Fair Games

SyllabusSyllabus Prior Knowledge: Understanding of basic Probability theory

Numbers Up! You win the number that appears on the die in uro 4 for a 4 6 for a 6 etc A funfair game called Numbers Up! involves rolling a single die. Here are the rules:

Activity 1 1.How much did you win? 2. Work out your average(mean) amount you won per game having played the game 20 times. 3. When you have the value for the class mean, fill in the table below:

Activity 1 4. Does your average differ from that of the class? What could explain this? 5. What do you think the class average figure represents in the context of the game? 6. Would you pay 3 to play this game? Give a reason for your answer. 7. If you ran the Numbers Up! game at the funfair, how much would you charge people to play it? Explain your answer. 8. What do you think would be a fair price to pay to play this game? Why?

A Fair Price? If I roll a standard die many times what is the average score I can expect?

Probability Distribution Table Score (X) Probability P(X) 1/6 Numbers Up!

Probability Distribution Table Score (X) Probability P(X) Numbers Up!

Expected Value How much money a player can expect to win/lose in the long run on a particular bet The House Edge/ Risk Analysis and Insurance/ Economics (Decision Theory) Mean: average of what HAS happened Expected Value: average of WHAT IS GOING to happen

Teaching Idea

Mathematical Expectation Suppose a couple decide to have three children. How many boys can they expect to have? Assume boys and girls are equally likely.

Sample Space StartBBBGGBGGBBGGBG BBB BBG BGB BGG GBB GBG GGB GGG 1st 2nd 3rd

Mathematical Expectation No of Boys 0123 Probability No of Boys 0123 Probability1/83/8 1/8

8 2 Fair or Unfair? 5 to play

Fair or Unfair? Use Two Methods

Fair Games Fair Game A game is said to be fair if the expected value (after considering the cost) is 0. If this value is positive, the game is in your favour; and if this value is negative, the game is not in your favour.

Teaching Idea: Designing Games

Teaching Idea-Carnival Games Maths Counts Insights into Lesson Study

Expected Value: Towards a Deeper Understanding

Lets Play!!

Prize Board: Whats the Expected Value?

Expected Value

Expected Value and Fair Games

A Sting in the Tale!!

Teaching Idea: Lets Track a Game

Teaching Idea: Working Backwards

Let Em Roll

Nazir Let Em Roll Feb 2013 On Nazirs final roll of the dice, what is the probability that he doesnt win the car?

Jyme Let Em Roll Oct 2013

Problem Solving with Expected Value Jyme has three cars with one roll remaining. Assuming the car is worth 15,000, (a)Find the probability that shell win the car on the last roll. (b)Find her expected pay-off based on re-rolling the last two dice. How much money would you need to have showing on those remaining dice after the second roll not to risk it?

Two Way Table Car CarCAR CarCAR CarCAR

SolutionSolution X ,000 P(X)6/367/368/363/362/361/369/36 The expected payoff if you re-roll the two dice is $500(6/36) + $1000(7/36) + … + $15,000(9/36) = $4,750 But if you have exactly three cars showing after two rolls, the largest money amount you could win is $3000. So, based on expected value, you should re-roll the last two dice no matter what.

Making Decisions Should I buy that extended warranty on my new printer?

In Summary The Expected Value of a random variable X is the weighted average of the values that X can take on, where each possible value is weighted by its respective probability Informally, an attempt at describing the mean of what is going to happen. Expected Value need not be one of the outcomes.