Are data at the $\mathrm{nominal}$ level of measurement considered $\mathrm{quantitative}$ or $\mathrm{qualitative}$?

• A. $\mathrm{Both}$ $\mathrm{quantitative}$ $\mathrm{and}$ $\mathrm{qualitative}$
• B. $\mathrm{Quantitative}$
• C. $\mathrm{Neither}$ $\mathrm{quantitative}$ $\mathrm{nor}$ $\mathrm{qualitative}$
• D. $\mathrm{Qualitative}$

Answer: (D)

Verified step by step guidance

1. Understand the levels of measurement: Nominal, Ordinal, Interval, and Ratio. These levels describe how data can be categorized and measured.
2. Recall that nominal data represent categories without any inherent order or ranking. Examples include gender, colors, or types of animals.
3. Recognize that quantitative data are numerical and can be measured or counted, such as height, weight, or age.
4. Since nominal data categorize without numerical meaning or order, they are considered qualitative (categorical) data.
5. Therefore, data at the nominal level of measurement are classified as qualitative, not quantitative.