检查中，你们不能提供支持你现行相对标准偏差标准的验证数据。
During our inspection, you were unable to provide validation data to support your current RSD criteria.
该方法涵盖从进度缓冲设置到偏差标准的设定，再根据偏差标准和缓冲对项目进行监控的全过程。
The method covers the whole process from setting scheduling buffer to determining deviation standard, monitoring and controlling according to the buffer and deviation standard.
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。
The Six Sigma Black Belt should be able to compute the mean and standard deviation from a grouped frequency distribution.
那么这些异常值和分散度是怎么影响度量值和标准偏差的呢？
So how do these outliers and dispersion affect the values of the mean and standard deviation?
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?
你可以用这种方法计算标准偏差。
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.
特别是当标准偏差值很小的情况。
事实上，最近我和一个同事讨论了关于标准偏差的重要性，以及它常常被人忽视的情况。
Actually, a colleague and I recently discussed the importance of standard deviation and how it is often simply ignored.
正态分布数据认为，样本中约68%的数值分布在距离平均值为1的标准偏差之内。
Normally distributed data assumes that about 68% of the values in the sample are within 1 standard deviation of the mean.
通过两个标准偏差，可以使您更清楚地了解相关的结果，尽管许多工具并没有提供这种信息，但幸运的是，可以非常容易地得到这个结果。
Two standard deviations can give you a much clearer picture of your results, and even though many tools do not provide this information easily, interpreting the results is, fortunately, much easier.
几乎不用怀疑平均值和标准偏差会收到异常值存在的影响，而中间值和IQR所受到的影响则较小。
There is no doubt that both the mean and standard deviation are effected by the presence of outliers, while the median and IQR are much less impacted.
在前文中我多次提到关于垃圾收集的标准偏差，并且在评估性能结果的时候，人们常常会忽略它。
I mentioned standard deviation a few times above with regard to garbage collection, and this is something that is often overlooked when evaluating performance results.
在最后的部分中，我们通过范例显示了中间值和标准偏差对于数据集内的分散度都没有多大的抵抗力。
In the final section we showed by example that both the mean and standard deviation are less resistant to dispersion within a dataset.
标准偏差如何量化度量值漂移？
How does the standard deviation quantify measurement scatter?
标准偏差真正能够告诉您的是，某些用户是高于还是低于平均测试水平(或者算术含义)。
What the standard deviation really tells you is that some set of users were + or - the test average (or arithmetic mean).
好消息是，用红线表示的标准偏差呈现下降趋势。
The good news is the standard deviation, the red line, is trending downward.
因为该负荷是静态的，所以比较是有效的，而且性能测试应用中标准偏差的典型使用也是有效的。
Since this overhead is static, comparisons are valid and the typical USES of standard deviation in performance testing apply.
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.
治理指标表明，当治理出现一个标准偏差的改善，从长期看收入就会提高三倍，婴儿死亡率降低三分之二。
The indicators show that when governance is improved by one standard deviation, incomes rise about three-fold in the long run, and infant mortality declines by two-thirds.
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.
不仅减少了平均值，还将标准偏差减少到了1秒钟以下。
Not only have the averages decreased, but the standard deviation has decreased to below 1 second.
因此，如果在数据集内存在异常值的话，那么度量值和标准偏差会得到相应的定位。
Thus, if outliers are present within the dataset the mean and standard deviation are located accordingly.
在图11中，整体的平均响应时间下降了一半以上，并且标准偏差低于1秒。
In Figure 11, the overall average response time dropped by slightly more then half, with the standard deviation well under 1 second.
在最后的部分中，我们将会看到位置的当前度量；这指的就是度量值与标准偏差。
In our final section, we will look at how the current measures of location; that is, the mean and standard deviation and discuss how susceptible they are to dispersion.
整体响应时间是1.4秒，并且标准偏差小于2秒。
Overall response time was 1.4 seconds with a standard deviation under 2 seconds.
事实上，计算标准偏差可能有点麻烦，但幸运的是，许多性能工具可以帮助您完成这个任务。
Actually calculating standard deviation can be a little challenging, but luckily many performance tools can help.
使用这些统计数据判断是否可以清楚地区分两个任务的速度(平均值之差超过三倍标准偏差)，还是相互重叠。
Use these statistics to decide that two tasks are either clearly distinguished in speed (means greater than three standard deviations apart), or else that they overlap.
执行时间的标准偏差估值点是645.586微秒。
A point estimate for the standard deviation of the execution time is 645.586 microseconds.
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