Gain Expected Gain means who much – on average – you would expect to win if you played a game. Example: Mark plays a game (for free). He throws a coin.

Slides:



Advertisements
Similar presentations
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.
Advertisements

Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 16 Mathematics of Managing Risks Weighted Average Expected Value.
Take out a coin! You win 4 dollars for heads, and lose 2 dollars for tails.
Parrondo’s Paradox Noel-Ann Bradshaw University of Greenwich.
CHAPTER 6: RANDOM VARIABLES AND EXPECTATION
Using Tinkerplots Ruth Kaniuk Endeavour Teacher Fellow, 2013.
Fair Games/Expected Value
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.
Bell Work: Twenty percent of what number is 40?. Answer: 200.
1.3 Simulations and Experimental Probability (Textbook Section 4.1)
Fair and Unfair Games Laura Smiley. What makes a game… FairUnfair.
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
Probability Bingo!. When two fair dice are rolled, what is the probability of getting a sum of 5?
9.2 Mixed Strategy Games In this section, we look at non-strictly determined games. For these type of games the payoff matrix has no saddle points.
Lesson Menu Main Idea Example 1:Act it Out Main Idea/Vocabulary Solve problems by acting it out.
S U C C E S S I O N. Z Z Scissors Paper Stone  Scissors beats paper (cuts it)  Paper beats rock (wraps it)  Rock beats scissors (blunts it)
Thinking Mathematically Expected Value. Expected value is a mathematical way to use probabilities to determine what to expect in various situations over.
We want to see who has the luck! Tally up the number of times each player wins. Play from games. PlayersTallyGames Won Player 1 Player 2 Player 3.
16.6 Expected Value.
Copyright © Cengage Learning. All rights reserved. Probability and Statistics.
1 Expected Value CSCE 115 Revised Nov. 29, Probability u Probability is determination of the chances of picking a particular sample from a known.
Negative Binomial Experiment
Probability Grade 7: Make predictions, given a probability
Expected values of games
Starter   In a certain game show, a contestant is presented with three doors. Behind one of the doors is an expensive prize; behind the others are goats.
Copyright © Cengage Learning. All rights reserved.
Probability 5: Binomial Distribution
Game Theory “How to Win the Game!”.
Example of a call option
Samples and Populations
Relative Frequency.
Mean from frequency tables
Expected Value.
S U C C E S S I O N P(N chosen) = 1 10 P(S chosen) = 3 10
Probability.
[4] the sum of the numbers you throw. It is your turn, you need to score exactly 4 to dice your score is the number you throw. If you throw two dice your.
Probability: Living with the Odds
6.3 Probabilities with Large Numbers
Expected Value.
Chapter 16.
Expected Value and Fair Games
Expected Value.
Creating a Number Line for Probability
Pirate Place Value Coloring Game
Chapter 3.1 Probability Students will learn several ways to model situations involving probability, such as tree diagrams and area models. They will.
Foreigner - Cold as Ice
Classroom Management Critical Incidents.
Warm Up Imagine a family has three children. 1) What is the probability the family has: 3 girls and 0 boys 2 girls and 1 boy 1 girl and 2 boys 0 girls.
Discrete Distributions
Expected Values and Standard Deviation of Random Variables
Discrete Distributions
Using Probabilities to Make Fair Decisions
Sampling Level 7/8 12/04/2019 Complete the questions on the sheet.
Expected Value Lesson Essential Question:
Discrete Distributions.
Mathematics Unit 37: Spring Fair
Solving Linear Equations
Should college athletes be paid?
Expected Value.
Discrete Distributions
Randomness, Probability, and Simulation
Fun… Tree Diagrams… Probability.
Using Probabilities to Make Fair Decisions
Statistics and Probability-Part 5
How well do you KNOW your 2 times table ?
Section 12.4 Expected Value (Expectation)
Probability – Experimental & Expectation – Activity A
Warm Up What is the type of sampling for 1-3? 1. “The names of 50 contestants are written on 50 cards. The cards are placed in a hat and 10 names are drawn.”
7.2 Mathematical Expectation
Presentation transcript:

Gain Expected Gain means who much – on average – you would expect to win if you played a game. Example: Mark plays a game (for free). He throws a coin. If it’s a Head he wins $1. If he throws a Tail he loses $1. What is his expected gain?

In a new game: Mark pays $1 to enter. If he gets a head he wins $3. If he gets a tail he loses $2. What is his expected gain?

In an attempt to create a really complicated game, and make some money, Mark makes a spinner. He charges $5 to play the game. If a player spins a 1, the player loses the money they paid. If they spin a 2, they get $2 back. If they spin a 3, they get their money back. If they spin a 4, they get their money back and $5. 4   3 2 1

g -5 -3 5 P(G=g) 0.25 We make a distribution table for the Gains: If a player spins a 1, the player loses the money they paid. If they spin a 2, they get $2 back. If they spin a 3, they get their money back. If they spin a 4, they get their money back and $5. We make a distribution table for the Gains: g -5 -3 5 P(G=g) 0.25

g -5 -3 5 P(G=g) 0.25 𝐸 𝐺 = 𝑔.𝑃(𝐺=𝑔) = -0.75 5 P(G=g) 0.25 The work out the Expected Value of this distribution: 𝐸 𝐺 = 𝑔.𝑃(𝐺=𝑔) = -0.75

This means that on average a player will lose $0 This means that on average a player will lose $0.75 for every game they play. Now try the Learning Workbook p. 6 Exercise B, Question 1

Fair: A game is ‘fair” if the expected gain is 0. Two new words: Winnings: Similar to “gain”, but ignores the cost of playing the game. Fair: A game is ‘fair” if the expected gain is 0.

Now do the Learning Workbook p. 6 – 8 Exercise B.