根据度量值计算出平均值和标准偏差。
From the measurements, compute the mean and standard deviation.
对于每一个变量,平均值和标准偏差的结果。
For each variable, the mean and standard deviation results are presented.
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?
Then how different would the mean and standard deviation be if the procedure were repeated?
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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