Cumulative Distribution Function

In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, describes the probability that a real-valued random variable X with a given probability distribution will be found at a value less than or equal to x. Intuitively, it is the "area so far" function of the probability distribution. Cumulative distribution functions are also used to specify the distribution of multivariate random variables.

Read more about Cumulative Distribution Function:  Definition, Properties, Examples, Multivariate Case, Use in Statistical Analysis

Famous quotes containing the words cumulative, distribution and/or function:

    Knew her own mind. But the mind radically commonplace, only its inherited force, & cumulative sense of power, making it remarkable.
    Virginia Woolf (1882–1941)

    The man who pretends that the distribution of income in this country reflects the distribution of ability or character is an ignoramus. The man who says that it could by any possible political device be made to do so is an unpractical visionary. But the man who says that it ought to do so is something worse than an ignoramous and more disastrous than a visionary: he is, in the profoundest Scriptural sense of the word, a fool.
    George Bernard Shaw (1856–1950)

    The uses of travel are occasional, and short; but the best fruit it finds, when it finds it, is conversation; and this is a main function of life.
    Ralph Waldo Emerson (1803–1882)