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YolandaQ · 2020年01月15日

是为什么标准化呢?

以及怎么得出的标准化以后的概率呢?

问题如下图:

选项:

A.

B.

C.

D.

解释:

1 个答案
已采纳答案

品职答疑小助手雍 · 2020年01月16日

同学你好,这题其实和标准化关系不大,只是一个条件概率的问题,先把小公司不赚和亏钱的情况的概率分布找出来,然后把这俩情况下大公司的概率累加。

然后在小公司不赚或亏钱的情况下(把这情况当做100%),把大公司前面累加的概率扩充成合计100%的条件概率。然后按公式求期望和方差就行了。


标准化本身是一个数据处理的过程,因为平时的数据可能是各种各样的分布的,标准化mapping成一个理论里有成熟公式的分布可以更方便建模。具体方法要看是什么分布了,拿标准正态分布举例就是(X-μ)/σ

YolandaQ · 2020年01月19日

谢谢解答,但我发现我表达有点问题,我想问的是那些百分比normalized的逻辑,我不应该说成标准化。这些概率并不是加起来100%,为什么不直接乘,而是要先换算成加起来100%的数字?这些概率加起来本来原本并不是穷尽100%的呀,说明不是exhaust的,让人认为题目还有其他可能的事件,换算完却成了一组exhaust的概率,不是很明白。

品职答疑小助手雍 · 2020年01月20日

这些概率本身是占总体的概率,现在求的是条件概率,也就是在小公司不赚或者亏钱这个情况下的概率,也就是相当于假定前提就是小公司不赚或者亏钱这个事件是100%发生的,所以这些概率应该要穷尽这个情况。

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