Expected Value Examples in Math
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Expected Value.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Math.
Concept Recap
The expected value of a random variable is the probability-weighted average of all possible outcomes โ the long-run mean over many repetitions.
Expected value is what you would "expect" on average after very many trials โ not the most likely single outcome, but the center of the distribution.
Read the full concept explanation โHow to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: E[X] = \sum x_i P(x_i): multiply each outcome by its probability and sum. Expected value is linear: E[aX + b] = aE[X] + b.
Common stuck point: A game is 'fair' when expected value = 0 (break even long-term).
Sense of Study hint: Make a two-column table: each possible outcome and its probability. Multiply across each row, then add all the products.
Worked Examples
Example 1
easySolution
- 1 A fair die has six equally likely outcomes \{1,2,3,4,5,6\}, each with probability \frac{1}{6}.
- 2 Apply the expected value formula: E(X) = \sum x_i \cdot P(x_i) = \frac{1}{6}(1 + 2 + 3 + 4 + 5 + 6)
- 3 Compute the sum: \frac{1}{6} \times 21 = \frac{21}{6} = 3.5
Answer
Example 2
mediumPractice Problems
Try these problems on your own first, then open the solution to compare your method.
Example 1
mediumExample 2
mediumRelated Concepts
Background Knowledge
These ideas may be useful before you work through the harder examples.