Which data classifications are generally considered qualitative?

Which data classifications are generally considered qualitative?

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

Answer: (A)

Qualitative data describe categories or labels rather than numeric quantities. Nominal data are categories with no natural order, such as art medium or diagnostic group. Ordinal data have a meaningful sequence but the intervals between categories aren’t assumed equal, like levels of agreement or a pain/satisfaction rating. Because they convey type and order without precise measurements, these are considered qualitative. By contrast, interval and ratio data are numerical and support arithmetic; interval data have equal intervals but no true zero (e.g., temperature in Celsius), while ratio data have a true zero (e.g., counts, weight). So nominal and ordinal are the qualitative classifications.

Qualitative data describe categories or labels rather than numeric quantities. Nominal data are categories with no natural order, such as art medium or diagnostic group. Ordinal data have a meaningful sequence but the intervals between categories aren’t assumed equal, like levels of agreement or a pain/satisfaction rating. Because they convey type and order without precise measurements, these are considered qualitative. By contrast, interval and ratio data are numerical and support arithmetic; interval data have equal intervals but no true zero (e.g., temperature in Celsius), while ratio data have a true zero (e.g., counts, weight). So nominal and ordinal are the qualitative classifications.