Expected value is the probability-weighted mean of the possible outcomes of a discrete random variable, calculated from a probability table or distribution using , where the probabilities sum to 1. It represents the long-run average outcome over many repetitions, not the outcome most likely on a single trial or a guaranteed result, and supports analysis of games, decisions, and fairness. Continuous-distribution integrals and more advanced expectation theory are beyond this scope.
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The expected value is the probability-weighted mean of all possible outcomes. It tells you the average result you would expect over many repetitions.
Use the formula
This means:
A game has the following possible winnings:
| Winnings | Probability |
|---|---|
| $0 | |
| $5 | |
| $20 |
First, check the probabilities:
Now multiply each outcome by its probability:
Therefore, the expected value is
This does not mean you will win exactly 5.50$5.50$.
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