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Baris ka-4: While for a [[discrete random variable]] one could say that an [[event]] with [[probability]] zero is impossible, this can not be said in the case of a continuous random variable, because then no value would be possible. This [[paradox]] is solved by realizing that the probability that ''X'' attains a value in an [[uncountable]] set (for example an [[interval (mathematics)\|interval]]) can not be found by adding the probabilities for individual values. By another convention, the term "continuous random variable" is reserved for random variables that have [[probability density function]]s. A random variable with the [[Cantor distribution]] is continuous according to the first convention, and according to the second, is neither continuous nor discrete nor a weighted average of continuous and discrete random variables. In practical applications random variables are often either discrete or continuous. Baris ka-19: [[pl:Ciągły rozkład prawdopodobieństwa]] [[pt:Variável aleatória contínua]] [[sl:Zvezna porazdelitev]] [[tr:Sürekli olasılık dağılımları]] [[uk:Абсолютно неперервна випадкова величина]]

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