Take out a coin! You win 4 dollars for heads, and lose 2 dollars for tails.

Slides:



Advertisements
Similar presentations
Designing Investigations to Predict Probabilities Of Events.
Advertisements

Probability Three basic types of probability: Probability as counting
Dom’s Game Dom Mazzone EMBA CL Dom’s Game How the Game is played Coin on top of desk has been tossed before class and is covered. It is unknown.
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. Definitions A random variable is a variable whose value is a numerical outcome of a random phenomenon,. A discrete random variable X.
Probability Predictions Ch. 1, Act. 5. Probability The study of random events. Random events are things that happen without predictability – e.g. the.
Management 3 Quantitative Analysis Winter 2015 Expected Value.
Describing Probability
Probability Chapter 11 1.
Random Variables and Expectation. Random Variables A random variable X is a mapping from a sample space S to a target set T, usually N or R. Example:
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:
Probability And Expected Value ————————————
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.
Chapter 7 Expectation 7.1 Mathematical expectation.
UNR, MATH/STAT 352, Spring Head Tail Tossing a symmetric coin You are paying $1 How much should you get to make the game fair?
1. What’s the probability that the spinner will land on blue? 2. Samuel has a bowl of fruit containing 3 apples, 2 oranges and 5 pears. If he randomly.
Fair Games/Expected Value
Chapter 16: Random Variables
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)
Algebra 1 Probability & Odds. Objective  Students will find the probability of an event and the odds of an event.
Quiz Time! Clear your desk except for a pencil & calculator!
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,
Early Work – Oct. 16 A 10-pound bag of potatoes costs $1.19. At this rate, what would a 25-pound bag cost? Washington apples are selling for 50 cents.
1.3 Simulations and Experimental Probability (Textbook Section 4.1)
Chapter 16: Random Variables
Lesson Objective Understand what we mean by a Random Variable in maths Understand what is meant by the expectation and variance of a random variable Be.
EXAMPLE 1 Independent and Dependent Events Tell whether the events are independent or dependent. SOLUTION You randomly draw a number from a bag. Then you.
Expected Value.
The Wonderful World… of Probability. When do we use Probability?
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.
Fair and Unfair Games Laura Smiley. What makes a game… FairUnfair.
1. What’s the probability that the spinner will land on blue?
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
L56 – Discrete Random Variables, Distributions & Expected Values
How many different ways can 4 people be seated in a row of 4 seats? Select the correct answer
Introduction to Probability – Experimental Probability.
What is the probability of two or more independent events occurring?
The Mean of a Discrete Random Variable Lesson
Making Predictions with Theoretical Probability. Warm Up You flip a coin three times. 1.Create a tree diagram to find the sample space. 2.How many outcomes.
Jane wins $21 if a die roll shows a six, and she loses $2 otherwise
How likely is something to happen..  When a coin is tossed, there are two possible outcomes: heads (H) or tails (T) We say the probability of a coin.
Expected Value and Fair Game S-MD.6 (+) Use probabilities to make fair decisions (e.g., drawing by lots, using a random number generator). S-MD.7 (+) Analyze.
1 Chapter 4 Mathematical Expectation  4.1 Mean of Random Variables  4.2 Variance and Covariance  4.3 Means and Variances of Linear Combinations of Random.
Counting and Probability. Imagine tossing two coins and observing whether 0, 1, or 2 heads are obtained. Below are the results after 50 tosses Tossing.
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.
16.6 Expected Value.
You Bet Your Life - So to Speak
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
Game Theory “How to Win the Game!”.
Chapter Randomness, Probability, and Simulation
Expected Value.
PROBABILITY The probability of an event is a value that describes the chance or likelihood that the event will happen or that the event will end with.
Expected Value.
Multiply the probability of the events together.
Probability And Expected Value ————————————
Probability Trees By Anthony Stones.
Expected Value.
Probability And Expected Value ————————————
Using Probabilities to Make Fair Decisions
Investigation 2 Experimental and Theoretical Probability
Warm Up Problem of the Day Lesson Presentation Lesson Quizzes.
Probability of two events
Expected Value.
Fun… Tree Diagrams… Probability.
Using Probabilities to Make Fair Decisions
Statistics and Probability-Part 5
Presentation transcript:

Take out a coin! You win 4 dollars for heads, and lose 2 dollars for tails.

How could we predict what you would win on average? Half the time, you’ll win 4 dollars. Half the time, you’ll lose 2 dollars. OutcomesHeadsTails Probability Value Total

Another way to write this: OutcomesHeadsTails Probability½½ Value4-2 Total½(4)½(-2) 1 ½(4) + ½(-2) = 1

Expected Value Since you’d win $1 on average, it’s the value you could “expect” to win after playing over and over Expected Value: The value is what the player can expect to win or lose if they were to play a game many times.

Example 1 A die is rolled. You receive $1 for each dot that shows. What is the expected value for the game? Outcomes Probability Value Total

Example 2 A $20 bill, two $10 bills, three $5 bills and four $1 bills are placed in a bag. If a bill is chosen at random, what is the expected value for the amount chosen? Outcomes Probability Value Total

Example 3 In a game, you flip a coin twice, and record the number of heads that occur. You get 10 points for 2 heads, zero points for 1 head, and 5 points for no heads. What is the expected value for the number of points you’ll win per turn? (Hint: List every outcome.)

Example 4: Your Turn! Find the expected value (or expectation) of the games described. Mike wins $2 if a coin toss shows heads and $1 if it shows tails. Jane wins $10 if a die roll shows a six, and she loses $1 otherwise. A coin is tossed twice. Albert wins $2 for each heads and must pay $1 for each tails.

Mike wins $2 if a coin toss shows heads and $1 if it shows tails – $1.50 Jane wins $10 if a die roll shows a six, and she loses $1 otherwise – $0.83 A coin is tossed twice. Albert wins $2 for each heads and must pay $1 for each tails. – $1.00 Example 4: Solutions