🎲intro to statistics review

Expected value

Written by the Fiveable Content Team • Last updated September 2025
Written by the Fiveable Content Team • Last updated September 2025

Definition

Expected value is the long-term average or mean of a random variable, calculated as the sum of all possible values each multiplied by their probability of occurrence. It provides a measure of the center of the distribution for a discrete random variable.

5 Must Know Facts For Your Next Test

  1. The formula for expected value (E[X]) is $E[X] = \sum{[x_i \cdot P(x_i)]}$ where $x_i$ are the values and $P(x_i)$ are their probabilities.
  2. Expected value can be thought of as a weighted average, where each outcome is weighted by its probability.
  3. If a random variable X has values $x_1, x_2, ..., x_n$ with corresponding probabilities $p_1, p_2,..., p_n$, then $E[X] = x_1p_1 + x_2p_2 + ... + x_np_n$.
  4. Expected value is linear: $E[aX + b] = aE[X] + b$, where 'a' and 'b' are constants.
  5. The concept of expected value is foundational in decision theory and economics, helping to assess risks and benefits quantitatively.

Review Questions

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