So how do these outliers and dispersion affect the values of the mean and standard deviation?
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?
Normally distributed data assumes that about 68% of the values in the sample are within 1 standard deviation of the mean.
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。
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.
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.
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。
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