Gender, hair color, and eye color are examples of what type of data?

The correct choice is nominal data, which refers to a type of categorical data that serves to label variables without any quantitative value. In the context of gender, hair color, and eye color, each of these attributes consists of distinct categories.

For instance, gender categories can include male, female, and non-binary, while hair color may be categorized as blonde, brown, black, red, etc., and eye color can range from blue to brown to green. These categories do not have a specific order or ranking; they merely represent different groups.

Nominal data contrasts with ordinal data, which does involve order but does not necessarily equate to measurable distances between categories. Interval data, on the other hand, involves numeric scales where the difference between values is meaningful, but there is no true zero point (like temperature in Celsius). Ratio data includes both order and meaningful intervals, but also has a true zero point (such as height or weight). Therefore, gender, hair color, and eye color are best classified as nominal data because they do not imply any form of ranking or measurement.