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Math · Probability and Statistics

Chapter 3: Probability

Expected Value

What you would average over the long run.

Lesson
3
Time
About 21 minutes
0 of 12 done

Step 1: Let's Learn

Read it, or press Listen and follow the words.

Expected value is the average result over very many repetitions. Multiply each outcome by its probability and add.

A weighted average

Likely outcomes count more heavily than unlikely ones. That weighting is the whole idea.

You may never see it

A die has expected value 3.5, a face it does not have. Expected value describes the long-run average, not any single result.

Fair games

A game is fair when the expected gain is zero. Casino and lottery games are deliberately negative for the player.

Why negative games still get played

Insurance has negative expected value for the buyer, who accepts it to avoid a rare catastrophic loss.

Include the cost

When a game charges to play, subtract the cost. Forgetting it turns a losing game into an apparent winner.

The long-run average

Expected value multiplies each outcome by its probability and sums. It is what you would average over very many repetitions, not what you should expect on any single trial.

It need not be a possible outcome

The expected value of a die roll is 3.5, which no roll produces. An expected value of 2.3 children is meaningful as an average even though no family has 2.3 children.

A fair game has expected value zero

Every commercial gambling game has a negative expected value for the player — that is what makes it a business. Computing the expected value of a bet is the quickest way to see the house edge.

And where it is a bad guide

Expected value ignores risk. A bet with positive expected value that could bankrupt you is still a bad bet. Insurance has negative expected value for the buyer and is still rational, for the same reason.

Step 2: Try It Yourself

Tap and try it out.

Give the outcomes different likelihoods. The expected value drifts toward whichever grows.
Win 101
Lose 29

Lose 2 has the most. It has 8 more than Win 10.

Step 3: Watch an Example

One step at a time.

Watch Yusuf Judge a Game

A game costs $2. It pays $10 with probability 0.1 and nothing otherwise.

  1. Step 1

    The expected payout is 10 × 0.1 + 0 × 0.9, which is $1.

Step 4: Your Turn

Practice makes it stick.

The Payout

Problem 1 of 2

A game pays $20 with probability 0.25 and $0 otherwise. What is the expected payout, in dollars?

dollars

The Die

Problem 2 of 2

What is the expected value of one roll of a fair six-sided die?

The Long Run

1 of 8

Pays $10 with probability 0.5, else $0. Expected payout in dollars?

2 of 8

Pays $100 with probability 0.01, else $0. Expected payout?

3 of 8

Expected payout $5, cost to play $5. Expected gain?

4 of 8

Is that game fair? 1 for yes, 0 for no.

5 of 8

Expected payout $3, cost $4. Expected gain in dollars?

6 of 8

Pays $6 with probability 0.5 and $2 with probability 0.5. Expected payout?

7 of 8

Which statements about expected value are true?

8 of 8

Pays $50 with probability 0.02, else $0. Expected payout?

Step 5: Quick Check

Show what you know.

Question 1 of 2

Pays $40 with probability 0.1, else $0. Expected payout in dollars?

Question 2 of 2

What makes a game fair?

What You Learned

  • Expected value multiplies each outcome by its probability and adds.
  • It is a long-run average and may never occur as a single result.
  • A fair game has expected gain zero, once the cost of playing is subtracted.