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Expected value



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Rolling a dice, the mean converges to the expected value of 3.5

In probability theory and statistics, the expected value of a random variable [math]X[/math] (represented by the symbol [math]E(X)[/math][1]) is the average value the variable will take, that is, assuming that the experiment is repeated an infinite number of times, and the mean (or weighted average) of all the values is calculated along the way.

By definition, the expected value of a discrete random variable [math]X[/math] is calculated by the formula [math]\sum_x x P(X=x) [/math], where [math]P(X=x) [/math] is the probability that [math]X [/math] equals [math]x [/math], and [math]x [/math] ranges over all possible values of [math]X[/math].[2]

The Law of large numbers describes how this happens.

Related pages

References

  1. "List of Probability and Statistics Symbols" (in en-US). 2020-04-26. https://mathvault.ca/hub/higher-math/math-symbols/probability-statistics-symbols/. 
  2. "Expected Value | Brilliant Math & Science Wiki" (in en-us). https://brilliant.org/wiki/expected-value/.