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.
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。
And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
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。
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.
四喷嘴工况的撞击火焰噪声的标准偏差值要大于两喷嘴，但标准偏差随工况的变化小于两喷嘴，说明四喷嘴撞击火焰燃烧剧烈但稳定。
The standard deviation of four-nozzle impinging flame noise was greater than that of the two-nozzle impinging flame noise, but the change of the standard deviation was the reverse.
四喷嘴工况的撞击火焰噪声的标准偏差值要大于两喷嘴，但标准偏差随工况的变化小于两喷嘴，说明四喷嘴撞击火焰燃烧剧烈但稳定。
The standard deviation of four-nozzle impinging flame noise was greater than that of the two-nozzle impinging flame noise, but the change of the standard deviation was the reverse.
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