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.
标准偏差如何量化度量值漂移？
How does the standard deviation quantify measurement scatter?
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.
实际上，末尾的警告指出标准偏差度量不精确。
In fact, the warning at the end says that the standard deviation was not accurately measured.
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.
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.
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.
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.
均应报告标准偏差、相对标准偏差和可信限。
Standard deviation, RSD and confidential limit should be reported.
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，如何用平均值和标准偏差判断两个任务中哪一个更快呢？
So, how can the mean and standard deviation be used to determine which of two tasks is faster?
附加的标准偏差可能在分析结果中带来更高的百分比或者置信度。
Additional standard deviations can give you a higher percentage or confidence in the results of your analysis. A few of these confidence intervals are as follows.
您已经看到均值和标准偏差，直观上您可能会觉得温度是正态分布的。
You have seen the mean and standard deviation, and intuitively you might expect temperatures to be distributed normally. Let's check
其放射学检查证实和骨质疏松症等骨骼水质常见于标准偏差。
Radiographic studies confirmed bone demineralization and osteoporosis commonly seen in patients with RSD.
返回在某一集合上对数值表达式求得的标准偏差(偏置填充)。
Returns the standard deviation of a numeric expression evaluated over a set (biased).
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.
电流噪声标准偏差可用于比较同一种腐蚀类型下材料的腐蚀速度；
Standard deviation of current noise is qualified to compare corrosion rates of metals with the same corrosion type.
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.
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.
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.
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.
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.
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).
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.
这是很重要的，因为它说明了，仅查看平均值是不够的，特别是当您的标准偏差非常大的时候。
This is important, because it shows that looking at just the average is not enough, especially if your standard deviation is a large number.
使用平均值和标准偏差，您可以说明，68%的尝试是在 0.2秒到 1.3 秒之间。
Using the average and the standard deviation, you can interpret that 68% of the attempts were between .2 and 1.3 seconds.
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.
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.
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.
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.
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