Which of the following is not true about nominal level measures?

Nominal level measures are designed to categorize data without implying any sort of ranking or order between the categories. They focus on labeling and grouping data points based on distinct categories, such as religion, sex, or other classifications, that do not carry any mathematical significance. This means that while you can identify which category a particular observation belongs to, you cannot make any statements about one category being "greater" or "less than" another.

The other characteristics of nominal level measures reinforce this understanding. For example, they do not provide any numerical interpretation, and they are indeed commonly used for qualitative data, organizing it into meaningful groups without indicating a hierarchy. Therefore, the statement that they rank variables in an order is not true, as nominal measures by definition lack such an attribute.