standard values of deviation 标准偏差值 standard deviation of standard deviation 标准差的标准差 standard deviation of residual 残差之标准差 ..
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特别是当标准偏差值很小的情况。
如果标准偏差值很大,那么它就比较分散。
在异常值非常明显的数据集中,中间值和标准偏差值不应该用作位置的度量值。
In datasets where outliers are evident, the mean and standard should not be used exclusively as measures of location.
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。
If there's a large standard deviation it would be spread.
如果标准偏差值很大,那么它就比较分散。
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