Expected Value & Linearity
Direct EV Calculation
Overview
Direct EV is the foundation. The key insight is that expected value is a probability-weighted average of all outcomes. For interview games: (1) list outcomes, (2) find each probability, (3) multiply and sum. The hardest part is being exhaustive — missing an outcome is the most common error. The philosophical point: EV tells you what to do in the long run, not necessarily in a single trial.
How to Recognize
- →'What is the expected value/return/payoff of this game?'
- →Asked whether a bet is 'fair' or whether to play
- →Payoff matrix is given or easily enumerable
- →Simple probability × outcome problems
Step-by-Step Approach
- 1.List ALL outcomes and their probabilities — be exhaustive
- 2.E[X] = Σ xᵢ·P(X=xᵢ) — weight each outcome by its probability
- 3.Check: all probabilities must sum to 1
- 4.If EV > 0 and you can play repeatedly, the rational choice is to play
- 5.Ask: is the game being offered at its fair price? EV > cost → take it
Key Formulas
Worked Examples
Problem
A game costs 10 if you roll a 6, win 0 otherwise. Should you play?
Solution
List outcomes and calculate their expected payout:
Roll 6 (P=1/6): win 2. Roll 1–3 (P=3/6): win $0.
E[payout] = (1/6)·10 + (2/6)·2 + (3/6)·0 = 10/6 + 4/6 + 0 = 14/6 ≈ $2.33.
Cost to play = 2.33 − 0.67 per game.
Don't play — negative EV.
Answer
E[\text{payout}] = \2.33 < \ cost. This is a losing game. Negative EV means you'd lose $0.67 per play on average.
Common Mistakes
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Not checking that probabilities sum to 1 before computing EV.
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Confusing EV with the most likely outcome. If EV = 3.50.
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Forgetting that E[X+Y] = E[X] + E[Y] even when X and Y are correlated. This is the unconditional linearity property.
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Not accounting for the cost to play when computing whether a game is profitable.
Practice Problems
Click "Show Answer" to revealYou flip 3 fair coins. Win 1 otherwise. What is the EV?
A raffle: 1000 tickets at 2000, second prize 100. What is the expected profit/loss from one ticket?
You pay 100. Otherwise you win $0. Should you play?