The Six Sigma Black Belt should be able to compute the mean and standard deviation from a grouped frequency distribution.
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。
From the measurements, compute the mean and standard deviation.
根据度量值计算出平均值和标准偏差。
Then how different would the mean and standard deviation be if the procedure were repeated?
那么,如果重复执行度量过程,平均值和标准偏差会有多大变化?
What we want to do now is compute the mean and variance of the portfolio-- or the mean and standard deviation, since standard deviation is the square root of the variance-- for different combinations of the portfolios.
我们现在要做的是,计算这个投资组合的均值和方差-,或者均值和标准差,因为标准差的平方就等于方差-,这对任何投资组合都是一样的。
And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
然后我在这里再写一个高斯分布的函数,它的浮动值的平均值和,标准偏差值都除了2。
It could be normal, everything, that would be a Gaussian, where if you recall there was a mean, and a standard deviation, and most values were going to be close to the mean.
可能是正态分布,也就是高斯分布,只要有平均值和标准偏差值,你就可以进行调用,大部分的值都是集中在平均值附近的。
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