A continuous distribution describes probabilistic properties of a random variable which takes on a continuous (not countable) set of values – a continuous random variable .
In contrast to discrete distributions , continuous distributions do not ascribe values of probability to possible values of the random variable. Strictly speaking, the probability associated with any particular value of a continuous distribution is null. Therefore, continuous distributions are normally described in terms of probability density, rather than probability.
Some examples of continuous distributions are the normal distribution , log-normal distribution , t-distribution , F-distribution .
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