你可以用这种方法计算标准偏差。
特别是当标准偏差值很小的情况。
标准偏差又是怎么回事呢？
注意：不可能测量出“真实的”标准偏差。
Note: it may be impossible to measure the "true" standard deviation.
如果标准偏差值很大，那么它就比较分散。
每个人不一样，没有标准偏差。
There is no standard deviation. It's different for everybody.
传输时间可以用标准偏差方式表示。
This could be expressed as the standard deviation of the delivery time.
测得结果的相对标准偏差均小于5%。
The relative standard deviation of the determined result is less than 5 %.
对各组分测定的相对标准偏差均小于5％。
相对标准偏差小于2％。
标准偏差总是不可能度量的（微基准测试的典型情况）。
The standard deviations were always impossible to measure (typical of microbenchmarks).
平均、最小、最大，以及标准偏差应答时间或者链接时间。
Average, minimum, maximum, and standard deviation response time or connection time.
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?
测得结果重现性好，相对标准偏差<1.9%，标准回收率>97%。
The relative standard deviation is less than 1.9%. The recoveries are better than 97%.
测定结果的相对标准偏差小于5%；回收率在92- 107%之间。
RSD was less than 5%, and recovery was in the range 92-107%.
该法对各组分含量的测定误差在5 %以内，相对标准偏差在6 %以内。
The relative error of the method is less than 5% and RSD is less than 6%.
一般来说，在仪器开始运行时，进行进样精密度实验，计算其相对标准偏差。
方法简单，快速，精密度好，回收率为98.8% ，相对标准偏差为1.79%。
从实验结果看，测定值的相对标准偏差小于0 7%，相对不确定度小于0 5%。
Under experiment condition, RSD is less than 0.7%, reference uncertainty is less than 0.5%.
从实验结果看，测定值的相对标准偏差小于0 7%，相对不确定度小于0 5%。
Under experiment condition, RSD is less than 0.7%, reference uncertainty is less than 0.5%.
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