Answer:
D. Ordinal data are one notch above nominal data on the measurement hierarchy. Ordinal data can be rank-ordered on the basis of some relationship among them, while the order of nominal data is arbitrary.
Step-by-step explanation:
Ordinal data consists of variables that ordered categories but the gap between each category is not known. For example, A scale of satisfaction
Nominal data consists of variables that can be grouped on a particular characteristic. For example, gender (Male, Female).
Nominal data is lowest, next comes ordinal data, then comes Interval and Ratios. These are the four fundamental levels of measurement scales.