1·Clearly, we can see that the presence of outliers impacts these measures of location.
明显的是，我们可以看到异常值的存在影响到了位置的度量。
2·However, these parameters are less resistant to the presence of outliers.
但是，这些参数对异常值的存在有较低的抵抗力。
3·While the curve does not fit the data exactly, we can say that the data is a reasonable fit — however, we can see that a number of outliers are still present in the dataset.
当曲线不能精确地匹配数据时，我们可以说数据是有限匹配的 - 但是，我们可以看到有一系列的异常值仍然在数据集之内。
4·Identify potential skew and outliers.
识别潜在的歪斜和异常值。
5·The boxplot of the entire dataset showed there was significant right skew, a high level of dispersion and sizable quantity of outliers within our dataset.
整个数据集的箱线图显示了有很大程度的外泄，较高程度的分散度，以及数据集内大量的异常值。