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.
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.
不幸的是，两个任务的重叠部分越大，判断就越困难(例如，如果平均值只相差一个标准偏差)，见图2。
Unfortunately, determinations become trickier the more two tasks overlap (for example, if the means are one standard deviation apart), as Figure 2 illustrates.
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.
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.
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.
开发的算平均值，残差，标准偏差，和总不确定度。
C development numerical average, residuals, standard deviation, and the total uncertainty.
对于每一个变量，平均值和标准偏差的结果。
For each variable, the mean and standard deviation results are presented.
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.
这些工具完成对属性数据的频次、平均值、最小值、最大值和标准偏差的分析，并将结果存于一个新的表格中。
They perform frequency, mean, minimum, maximum, and standard deviation analysis on attribute data and save the results in a new table.
这些工具完成对属性数据的频次、平均值、最小值、最大值和标准偏差的分析，并将结果存于一个新的表格中。
This tool contains the following statistics types: sum, mean, minimum, maximum, standard deviation, range, first, and last. Available with any ArcGIS license.
面板和三维介绍了发达国家市场，巴西和德国的描述性统计。对于每一个变量，平均值和标准偏差的结果。
Whereas Egypt and Germany show higher growth rates for non-family firms, Thailand and Brazil show higher growth rates for family firms.
本法测定锰矿标样（冶金部标准样品505）中二氧化硅含量，其测定结果的相对标准偏差RSD为1.08%，测定平均值为33.93%（标样推荐值为33.58%）。
The standard sample(metallurgy department standard sample 505)was measured by this method with the RSD of 1.08% and the mean content value of 33.93%(recommendation value of standard sample is 33.58%).
本法测定锰矿标样（冶金部标准样品505）中二氧化硅含量，其测定结果的相对标准偏差RSD为1.08%，测定平均值为33.93%（标样推荐值为33.58%）。
The standard sample(metallurgy department standard sample 505)was measured by this method with the RSD of 1.08% and the mean content value of 33.93%(recommendation value of standard sample is 33.58%).
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