16.6 Expected Value.

Slides:



Advertisements
Similar presentations
Discrete Probability Distributions To accompany Hawkes lesson 5.1 Original content by D.R.S.
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. Definitions A random variable is a variable whose value is a numerical outcome of a random phenomenon,. A discrete random variable X.
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.
Statistics Chapter 3: Introduction to Discrete Random Variables.
Multiplication Rules for Probability Independent Events Two events are independent if the fact that A occurs does not affect the probability of B occuring.
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:
8.7 Probability. Ex 1 Find the sample space for each of the following. One coin is tossed. Two coins are tossed. Three coins are tossed.
Chapter 4 Using Probability and Probability Distributions
Expected Value- Random variables Def. A random variable, X, is a numerical measure of the outcomes of an experiment.
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.
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?
CHAPTER 6: RANDOM VARIABLES AND EXPECTATION
Chapter 7.2  Warm Up Do #’s 36,39,42  Homework Due 12/16 th and 12/19 th  # 37,38, 44, 45, 46, 55, 56, 57, 61, 68  POP Mini Quiz Fri/Mon  Review Worksheet.
Fair Games/Expected Value
The Poisson Probability Distribution The Poisson probability distribution provides a good model for the probability distribution of the number of “rare.
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.
What are the chances of that happening?. What is probability? The mathematical expression of the chances that a particular event or outcome will happen.
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)
1 Chapter 16 Random Variables Random Variables and Expected Value.
Practice Problems Actex 8. Section 8 -- #5 Let T 1 be the time between a car accident and reporting a claim to the insurance company. Let T 2 be the time.
Simple Mathematical Facts for Lecture 1. Conditional Probabilities Given an event has occurred, the conditional probability that another event occurs.
Chapter 5.1 Probability Distributions.  A variable is defined as a characteristic or attribute that can assume different values.  Recall that a variable.
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,
P. STATISTICS LESSON 8.2 ( DAY 1 )
1.3 Simulations and Experimental Probability (Textbook Section 4.1)
Expected Value. Expected Value - Definition The mean (average) of a random variable.
1.4 Equally Likely Outcomes. The outcomes of a sample space are called equally likely if all of them have the same chance of occurrence. It is very difficult.
Expected Value.
Barnett/Ziegler/Byleen Finite Mathematics 11e1 Learning Objectives for Section 8.5 The student will be able to identify what is meant by a random variable.
Probability Evaluation 11/12 th Grade Statistics Fair Games Random Number Generator Probable Outcomes Resources Why Fair Games? Probable Outcome Examples.
Warm Up a) 28 b) ½ c) Varies Packet signatures???.
Discrete Distributions. Random Variable - A numerical variable whose value depends on the outcome of a chance experiment.
WOULD YOU PLAY THIS GAME? Roll a dice, and win $1000 dollars if you roll a 6.
L56 – Discrete Random Variables, Distributions & Expected Values
Introduction to Probability – Experimental Probability.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
The Mean of a Discrete Random Variable Lesson
PROBABILITY DISTRIBUTIONS DISCRETE RANDOM VARIABLES OUTCOMES & EVENTS Mrs. Aldous & Mr. Thauvette IB DP SL Mathematics.
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.
Math 1320 Chapter 7: Probability 7.3 Probability and Probability Models.
AP STATISTICS LESSON AP STATISTICS LESSON PROBABILITY MODELS.
Chapter 5 Discrete Probability Distributions 1. Chapter 5 Overview 2 Introduction  5-1 Probability Distributions  5-2 Mean, Variance, Standard Deviation,
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.
Ch 11.7 Probability. Definitions Experiment – any happening for which the result is uncertain Experiment – any happening for which the result is uncertain.
Chapter5 Statistical and probabilistic concepts, Implementation to Insurance Subjects of the Unit 1.Counting 2.Probability concepts 3.Random Variables.
16.6 Expected Value.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Copyright © Cengage Learning. All rights reserved. Probability and Statistics.
Probability of Independent and Dependent Events
Expected values of games
Copyright © Cengage Learning. All rights reserved.
Box models Coin toss = Head = Tail 1 1
Meaning of Probability
Game Theory “How to Win the Game!”.
Probability of Independent and Dependent Events
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.
The probability of event P happening is 0. 34
Probability of Independent and Dependent Events
Probability of Independent and Dependent Events
Random Variable, Probability Distribution, and Expected Value
Probability Die Difference and Uncertainty
Random Variable Random Variable – Numerical Result Determined by the Outcome of a Probability Experiment. Ex1: Roll a Die X = # of Spots X | 1.
Probability of TWO EVENTS
Discrete Distributions
Probability of Independent and Dependent Events
The Geometric Distribution
Presentation transcript:

16.6 Expected Value

Objective To find expected value in situations involving gains and losses and to determine whether a game is fair.

Payoff x1 x2 x3 … xn Probability P(x1) P(x2) P(x3) P(xn) If a given situation involves various payoffs then its expected values is calculated as follows. Payoff x1 x2 x3 … xn Probability P(x1) P(x2) P(x3) P(xn)

Dice Game Event Die shows 1,2, or 3 Die shows 4 or 5 Die shows 6 Payoff +10 pts. -13 pts. -1 pt. Probability ½ ⅓ 1/6 What is the expected value (payoff)? .5 point

Heads 2 1 Payoff to A $4 -$1 -$2 Probability ¼ ½ Two coins are tossed. If both land heads up, then player A wins $4 from player B. If exactly one coin lands heads up, then B wins $1 from A. If both land tails up then B wins $2 from A . a) Make a table Heads 2 1 Payoff to A $4 -$1 -$2 Probability ¼ ½ b) What is the expected value of the game? Is the game fair? 0 game is fair

Three cards are drawn at random without replacement, from a standard deck. Find the expected value for the occurrence of hearts. Make a table Hearts 1 2 3 Probability 703/1700 741/1700 234/1700 22/1700

An 18-year-old student must decide whether to spend $160 for one year’s car collision damage insurance. The insurance carries a $100 deductible which means that the student files a damage claim, the student must pay $110 of the damage amount, with the insurance company paying the rest (up to the value of the car). Because the car is only worth $1500, the student consults with an insurance agent who draws up a table of possible damage amounts and their probabilities based on the driving records for 18-year-olds in the region.

Event Accident Costing $1500 Accident Costing $1000 No Accident Payoff $1400 $900 $400 $0 Probability 0.05 0.02 0.03 0.9 What is the expected value of the insurance?

Expected Payoff = $100 Expected Value = 100 -160 = -$60

Example An investment in Project A will result in a loss of $26,000 with probability 0.30, break even with probability 0.50, or result in a profit of $68,000 with probability 0.20. An investment in Project B will result in a loss of $71,000 with probability 0.20, break even with probability 0.65, or result in a profit of $143,000 with probability 0.15. Which investment is better?

Tools to calculate E(X)-Project A Variable (X)- The amount of money received from the investment in Project A X can assume only x1 , x2 , x3 X= x1 is the event that we have Loss X= x2 is the event that we are breaking even X= x3 is the event that we have a Profit x1=$-26,000 x2=$0 x3=$68,000 P(X= x1)=0.3 P(X= x2)= 0.5 P(X= x3)= 0.2

Tools to calculate E(X)-Project B Variable (X)- The amount of money received from the investment in Project B X can assume only x1 , x2 , x3 X= x1 is the event that we have Loss X= x2 is the event that we are breaking even X= x3 is the event that we have a Profit x1=$-71,000 x2=$0 x3=$143,000 P(X= x1)=0.2 P(X= x2)= 0.65 P(X= x3)= 0.15

Assignment Page 633 1-14, 17,18,21,22