Categories with no quantitative meaning or order are described by which scale?

Categories with no quantitative meaning or order are described by which scale?

• A. Nominal Scale
• B. Ordinal Scale
• C. Interval Scale
• D. Ratio Scale

Answer: (A)

Nominal data are categories that serve as labels only; there is no natural order and no numeric value attached to the categories. Because of this, you can count how many observations fall into each category and report frequencies or the mode, but you cannot meaningfully perform arithmetic or talk about intervals or averages between categories. This is different from other scales: ordinal data have an inherent order (like rankings) but not equal spacing; interval data have ordered categories with equal intervals but no true zero point; ratio data have all the previous features plus a true zero that allows meaningful ratios. So when the categories are just labels with no quantitative meaning or ordering, a nominal scale is the appropriate description.

Nominal data are categories that serve as labels only; there is no natural order and no numeric value attached to the categories. Because of this, you can count how many observations fall into each category and report frequencies or the mode, but you cannot meaningfully perform arithmetic or talk about intervals or averages between categories. This is different from other scales: ordinal data have an inherent order (like rankings) but not equal spacing; interval data have ordered categories with equal intervals but no true zero point; ratio data have all the previous features plus a true zero that allows meaningful ratios. So when the categories are just labels with no quantitative meaning or ordering, a nominal scale is the appropriate description.