Which data type would you classify customer satisfaction as?

Which data type would you classify customer satisfaction as?

• A. Non-numeric, Descriptive Data
• B. Numeric, Measurable Data
• C. Frequency Data
• D. Ordinal Data

Answer: (A)

This question is about how we classify data by type. Customer satisfaction is often captured as descriptions or categories expressed in words (for example, “very satisfied,” “satisfied,” or general comments) rather than as numerical measurements. Those kinds of responses are qualitative and non-numeric, which is why they fit non-numeric, descriptive data. If satisfaction were collected with a numeric rating on a scale, that would move into numeric data, and depending on the scale, it could be considered ordinal data because you can rank the ratings but the intervals aren’t guaranteed to be equal. Frequency data would involve counting how many responses fall into each category, which is a different type of data altogether.

This question is about how we classify data by type. Customer satisfaction is often captured as descriptions or categories expressed in words (for example, “very satisfied,” “satisfied,” or general comments) rather than as numerical measurements. Those kinds of responses are qualitative and non-numeric, which is why they fit non-numeric, descriptive data. If satisfaction were collected with a numeric rating on a scale, that would move into numeric data, and depending on the scale, it could be considered ordinal data because you can rank the ratings but the intervals aren’t guaranteed to be equal. Frequency data would involve counting how many responses fall into each category, which is a different type of data altogether.