古典概率通常又叫事前概率，是指当随机事件中各种可能发生的结果及其出现的次数都可以由演绎或外推法得知，而无需经过任何统计试验即可计算各种可能发生结果的概率。
文章给出一个古典概率问题的两个解法，从而导出几个有趣的等式。
This paper introduces the problems of some identical equation solved by the numerical characters of the classic probability and stochastic variable.
介绍了用古典概率和随机变量的数字特征来解决数学分析中的一些恒等式问题。
This paper introduces the problems of some identical equation solved by the numerical characters of the classic probability and stochastic variable.
采用“分组分类取元法”研究了抽取类“古典概率模型”中的重复计算问题的解决办法。
This article use "the grouping classification took sampling principle" to study the solution on double counting problem of "the classical probabilistic model".
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