BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Ordinal data is a kind of qualitative data that groups variables into ordered categories. The categories have a natural order or rank based on some hierarchal scale, like from high to low. But there is no clearly defined interval between the categories.

Detailed explanation-2: -Ordinal data is a type of qualitative (non-numeric) data that groups variables into descriptive categories. A distinguishing feature of ordinal data is that the categories it uses are ordered on some kind of hierarchical scale, e.g. high to low.

Detailed explanation-3: -There are two general types of data – quantitative and qualitative and both are equally important. You use both types to demonstrate effectiveness, importance or value.

Detailed explanation-4: -For example, first, second, and third places in a race are ordinal data. You can clearly understand the order of finishes. However, the time difference between first and second place might not be the same as between second and third place. Ordinal data are prevalent in social science and survey research.