Gui Chun-ya
Abstract
In this paper,an example shows that there exists a continuous distribution function which the corresponding random variable is not continuous. This knowledge can help student master the characteristics of distribution function which the random variable is continuous and apply to the actual better.
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In this paper,an example shows that there exists a continuous distribution function which the corresponding random variable is not continuous. This knowledge can help student master the characteristics of distribution function which the random variable is continuous and apply to the actual better.
Key concepts: Continuous variable, Random variable, Continuous function (set theory), Variable (mathematics), Probability integral transform, Mathematics, Function (biology), Distribution (mathematics)