平均值的标准偏差(standard deviation of mean)样本平均值平均值μ。 m个n次平行测定的平均值:是一个非常重要的统计量, 通常以它来估计总体数理统计学证明: 一组样本的平均值...
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加权平均值的标准偏差 standard deviation of weighted mean
平均值的实验标准偏差 experimental standard deviation of the mean
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.
And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
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。
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