1.极端分数：全距受影响最大，四分位距受影响最小。

• There are extreme scores in the data set: the full range is the most affected, and the quartile is the least affected.

2.样本大小：全距可能随n增加而增加，四分位距和标准差不会。

• Change the sample size: the full distance may increase with the increase of n, but the quartile distance and standard deviation will not.

3.样本选取：同一总体多次选取不同样本，全距没有稳定的值，但四分位距和标准差是稳定的。

• Select different samples: the same population selects different samples many times, the full distance has no stable value, but the quartile distance and standard deviation are stable.

4.当存在不确定值的分布时，全距和标准差无法求得，四分位距可求。

• When there is a distribution of uncertain values, the full distance and standard deviation can not be obtained, and the quartile distance can be obtained.