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In probability theory, the expected value (also called expectation, expectancy, expectation operator, mathematical expectation, mean, expectation value, or first moment) is a generalization of the weighted average. Informally, the expected value is the arithmetic mean of the possible values a random variable can take, weighted by the probability of those outcomes. Since it is obtained through arithmetic, the expected value sometimes may not even be included in the sample data set; it is not the value you would "expect" to get in reality.
The expected value of a random variable with a finite number of outcomes is a weighted average of all possible outcomes. In the case of a continuum of possible outcomes, the expectation is defined by integration. In the axiomatic foundation for probability provided by measure theory, the expectation is given by Lebesgue integration.
The expected value of a random variable X is often denoted by E(X), E[X], or EX, with E also often stylized as E or E.{\displaystyle \mathbb {E} .}

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  1. Bawse

    Article Extracting Value From Opposing Players

    Extracting value from opponents is when you have a good idea, that your hand is the best hand, and you get the most value/chips back when you stack your opponent. You're trying to string them along when they have weak hands, and your hand is stronger without them making a better hand. It's good...
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