Interval data | Statistics

Interval data is the second highest data level. Interval data means that we can rank the data and that it is possible to measure the difference between two values.

An example of interval data is temperature. We can rank the temperature and we can measure the difference between different temperatures. However, interval data do not provide any valuable information to calculate a ratio between two different values. Interval data are divided into categories that are mutually exclusive and exhaustive.

With mutually exclusive means that an individual, an object or a measurement can not be in more than one category. With exhaustive means that each observation must be in a category, the category 'other' can be added so that all observations can be classified into one category.