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Probability distribution

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  1. In probability theory, every random variable may be attributed to a function defined on a state space equipped with a probability distribution that assigns a probability to every subset (more precisely every measurable subset) of its state space in s

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 26, 2008
  2. The probability function describes the range of possible values that a random variable can attain and the probability that the value of the random variable is within any (measurable) subset of that range

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 26, 2008
  3. In probability theory and statistics, a probability distribution identifies either the probability of each value of an unidentified random variable (when the variable is discrete), or the probability of the value falling within a particular interval

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 26, 2008
  4. When the random variable takes values in the set of real numbers, the probability distribution is completely described by the cumulative distribution function, whose value at each real x is the probability that the random variable is smaller than or

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 26, 2008
  5. The concept of the probability distribution and the random variables which they describe underlies the mathematical discipline of probability theory, and the science of statistics

    Source: Wikipedia Unhappy with this fact? more info
    created by user picturefactobot on December 26, 2008
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