2020-12-16 Interval Data 间隔数据

Interval Data

Interval data builds on top ordinal data. In addition to ordering the values, it also specifies that the intervals between subsequent values are the same. A good example of this is the temperature measured in degrees Celsius: the difference between 1 degree and 5 degrees is the same as between 20 and 24: it’s 4 degrees. Note that this was not the case for ordinal data: we cannot say that the difference between graduating from a high school versus from an elementary school only is the same as the one between a university and a high school.

In the case of interval type variables, in addition to the mode and the median, computing the arithmetic mean also makes sense. You can also apply linear transformations to interval data.

间隔数据

间隔数据建立在序列数据之上。除了排序数值之外，它还可以标记出数据之间的间隔距离。一个比较好的例子是温度计量单位摄氏度：1度到5度之间的间隔和20度到24度的间隔是一样的，都是相差4摄氏度。序列数据却不能如此表示：我们不能说学历上小学到高中的差距和大学到高中的差距是一个含义。

对于间隔数据变量而言，除了众数和中位数外，计算算术平均值也同样有意义。你也可以使用线性转化间隔数据。

原文链接：Data Measurement Levels