Probability Evaluation 11/12 th Grade Statistics Fair Games Random Number Generator Probable Outcomes Resources Why Fair Games? Probable Outcome Examples.

Slides:



Advertisements
Similar presentations
Expected Value. When faced with uncertainties, decisions are usually not based solely on probabilities A building contractor has to decide whether to.
Advertisements

EGR 141 Computer Problem Solving in Engineering and Computer Science
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.
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.
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:
Mathematical Expectation. A friend offers you the chance to play the following game: You bet $2 and roll a die. If you roll a 6 you win $5 plus your bet.
© Oklahoma State Department of Education. All rights reserved.1 The Costs and Benefits of Gambling Standard 12.1 Gambling.
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.
Review of Probability and Binomial Distributions
Fair Games/Expected Value
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.
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: Solve each system (any method). W-up 11/4 1) Cars are being produced by two factories, factory 1 produces twice as many cars (better management)
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.
The mean of a set of observations is their ordinary average, whereas the mean of a random variable X is an average of the possible values of X The mean.
1 Introduction to Discrete Probability Rosen, Section 6.1 Based on slides by Aaron Bloomfield and …
Complexity and Emergence in Games (Ch. 14 & 15). Seven Schemas Schema: Conceptual framework concentrating on one aspect of game design Schemas: –Games.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 5 Section 1 – Slide 1 of 33 Chapter 5 Section 1 Probability Rules.
16.6 Expected Value.
Expected Value MATH 102 Contemporary Math S. Rook.
Section 13.4 Expected Value. Objectives 1. Compute expected value. 2. Use expected value to solve applied problems. 3. Use expected value to determine.
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,
AP STATS: Take 10 minutes or so to complete your 7.1C quiz.
Oklahoma’s Personal Financial Literacy Passport © Oklahoma State Department of Education. All rights reserved. 1 Teacher Presentation Series 12 Standard.
Oklahoma’s Personal Financial Literacy Passport © Oklahoma State Department of Education. All rights reserved. 1 Teacher Presentation Series 12 Standard.
MATH 110 Sec 13-4 Lecture: Expected Value The value of items along with the probabilities that they will be stolen over the next year are shown. What can.
1.3 Simulations and Experimental Probability (Textbook Section 4.1)
The mean of a set of observations is their ordinary average, whereas the mean of a random variable X is an average of the possible values of X The mean.
What is Probability?. The Mathematics of Chance How many possible outcomes are there with a single 6-sided die? What are your “chances” of rolling a 6?
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.
5.1 Probability in our Daily Lives.  Which of these list is a “random” list of results when flipping a fair coin 10 times?  A) T H T H T H T H T H 
Warm Up If Babe Ruth has a 57% chance of hitting a home run every time he is at bat, run a simulation to find out his chances of hitting a homerun at least.
Discrete Distributions. Random Variable - A numerical variable whose value depends on the outcome of a chance experiment.
MAT 1000 Mathematics in Today's World. Last Time.
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.
L56 – Discrete Random Variables, Distributions & Expected Values
1 Mathematical Expectation Mathematical Expectation Ernesto Diaz, Mathematics Department Redwood High School.
Introduction to Probability – Experimental Probability.
If you toss a coin ten times, what is the probability of getting three or more “heads” in a row? If an airline overbooks a certain flight, what is the.
The Mean of a Discrete Random Variable Lesson
Copyright © 2011 Pearson Education, Inc. Probability: Living with the Odds Discussion Paragraph 7B 1 web 59. Lottery Chances 60. HIV Probabilities 1 world.
Thinking Mathematically Expected Value. Expected value is a mathematical way to use probabilities to determine what to expect in various situations over.
© Oklahoma State Department of Education. All rights reserved.1 The Costs and Benefits of Gambling Gambling.
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.
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.
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.
Probability in gambling Lucie Tejessyová. Gambling Games of chances or skills when betting ratios are to bettors disadvantage The best bets – bring the.
Lesson 96 – Expected Value & Variance of Discrete Random Variables HL2 Math - Santowski.
16.6 Expected Value.
Uncertainty and Games (Ch. 15). Uncertainty If a game outcome is certain can it achieve meaningful play? –Example of such a game? Two kinds of uncertainty:
Copyright © Cengage Learning. All rights reserved. Probability and Statistics.
You Bet Your Life - So to Speak
Copyright © Cengage Learning. All rights reserved.
Game Theory “How to Win the Game!”.
Daniela Stan Raicu School of CTI, DePaul University
Probability: Living with the Odds
The Law of Large Numbers
Daniela Stan Raicu School of CTI, DePaul University
Daniela Stan Raicu School of CTI, DePaul University
Using Probabilities to Make Fair Decisions
Investigation 2 Experimental and Theoretical Probability
Using Probabilities to Make Fair Decisions
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.”
Presentation transcript:

Probability Evaluation 11/12 th Grade Statistics Fair Games Random Number Generator Probable Outcomes Resources Why Fair Games? Probable Outcome Examples Fair Game Examples

Fair Games A fair game is a game or situation in which each person is equally likely to “win”. For a single player, this means the expected payout of the game is 0. For multiple players, each player has the same expected payout. For determining expected value/payout check out this video: lity/random-variables- topic/random_variables_prob_dist/v/expecte d-value--e-x lity/random-variables- topic/random_variables_prob_dist/v/expecte d-value--e-x

Why Fair Games? When thinking about games for entertainment purposes, fair games are important because no player wishes to play at a disadvantage. In gambling, unfair games could lead to a loss of money, so determining the fairness of a game is important in deciding whether or not to play. There are a few ways that unfair games can be made fair through random number generators.

Fair Game Examples Some fair games include chess and Stratego, where the amount of complexity makes the chances equally likely. The lottery is both fair and unfair. Each person has the same chance to win, but for each person the lottery is unfair because they are expected to lose. All casino games are unfair: “The house always wins”. Monopoly, LIFE, and most card games are fair games due to random chance.

Random Number Generators Random Number Generators can make games fair or assist in making them fair. Common random number generators include flipping a coin and rolling dice. For larger situations such as the lottery, an actual machine which generates random numbers is used. This can be found easily on a computer or calculator.

Probable Outcomes Similar to expected value, probable outcome is the expected result from a course or several courses of action. Probable outcome is usually associated with objective terms instead of mathematical terms. They are determined by assigning probabilities to payoff values and determining expected value as normal. People make decisions based on probable outcome all the time without realizing it.

Probable Outcome Examples An everyday probable outcome determination can be as simple as this: “I don’t think we should go to the beach because it is going to rain.” More complex would be like this: “How long will my new computer last?” Common complex probable outcome instances include the stock exchange, betting on races and other events, and insurance companies. An example and explanation of a complex probable outcome situation: variables-topic/random_variables_prob_dist/v/term-life-insurance-and- death-probability variables-topic/random_variables_prob_dist/v/term-life-insurance-and- death-probability

Resources Image slide 1: Bank.html Image slide 3: Image slide 4: Definitions from: Video linked in slide 2: variables-topic/random_variables_prob_dist/v/expected-value--e-x Video linked in slide 7: variables-topic/random_variables_prob_dist/v/term-life-insurance-and-death- probability