The expected value (EV), also known as the expectation, the average, or the mean value, is a fundamental concept in probability theory and statistics. It gives us a measure of the center of a probability distribution and represents the average outcome we would expect if we were to repeat an experiment an infinite number of times.
Mathematically, the expected value of a discrete random variable is defined as:
where represents each possible value the random variable can take, and is the probability of .
For a continuous random variable, the expected value is defined using an integral:
where is the probability density function of .
Here are some examples.
Consider a simple dice game where you win 4 dollars if you roll a 6, and lose 1 dollar if you roll any other number. What is the expected value of this game?
The game has two possible outcomes:
The expected value (EV) is calculated as:
So, the expected value of playing this game is dollars, meaning on average, you expect to lose approximately dollars every time you play this game.
Imagine an insurance company charges dollars for a policy that pays dollars in the event of a certain accident, which has a probability of happening within the policy period. What is the expected profit or loss for the insurance company per policy sold?
The insurance company's profit or loss depends on whether the accident happens:
The expected value (EV) is calculated as:
The expected value is dollars, meaning that, on average, the insurance company neither makes a profit nor a loss per policy sold, before considering operational costs.
Here are some practice problems that are harder.
(2010 HMMT Guts Q18)
Jeff has a point quiz at am. He wakes up at a random time between am and noon, then arrives at class minutes later. If he arrives on time, he will get a perfect score, but if he arrives more than minutes after the quiz starts, he will get a but otherwise, he loses a point for each minute he’s late (he can lose parts of one point if he arrives a nonintegral number of minutes late). What is Jeff’s expected score on the quiz?
(2009 HMMT General Part 1 Q5)
Two jokers are added to a card deck and the entire stack of cards is shuffled randomly. What is the expected number of cards that will be strictly between the two jokers?