Which type of data is not measured on a numerical scale?

Qualitative data is the type of data that is not measured on a numerical scale. It refers to non-numeric information that describes characteristics or qualities. Examples of qualitative data include categories like colors, names, labels, or types of animals. This type of data is often used to capture the essence of phenomena that cannot be quantified, allowing for a deeper understanding of behaviors, preferences, or attributes.

In contrast, quantitative data encompasses measurements that can be expressed numerically, such as age, height, weight, or test scores. This data can be further categorized into continuous data, which can take any value within a range (like height) and discrete data, which consists of distinct, separate values (like the number of students in a classroom). Thus, recognizing qualitative data as non-numeric is essential for distinguishing between different data types in analysis and processing.