六西格玛黑带应该能够计算出一个分组发生频次分布数据的均值和标准偏差。
The Six Sigma Black Belt should be able to compute the mean and standard deviation from a grouped frequency distribution.
计算列值的分布。
但是,使这些缓存的计算结果以分布式的方式可用目前是受限制的。
However, making these cached computations available in a distributed manner is currently limited.
For a couple of reasons. In some ways, this would be nicer, do expected cases, it's going to tell you on average how much you expect to take, but it tends to be hard to compute, because to compute that, you have to know a distribution on input.
关注最快的情况,在某种意义上来说,因为一些原因这样想挺不错的,当我们处理一个给定的问题,计算平均时间的时候,是很难计算的,因为你并不知道输入的分布情况,这些输入会是怎么样的呢?
It uses the binomial distribution to calculate the probability of getting any specific number of accidents.
保险公司就可以用二项分布公式,来计算特定数目事故发生的概率
To actually apply this it helps to go to something called the normal approximation to the binomial, because it's kind of difficult to compute this formula.
在实际应用这些公式的时候,需要运用二项分布的正态近似定理,因为二项分布公式的值很难计算
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