A nominal scale partitions data into categories that are mutually exclusive and collectively exhaustive.

Name: A nominal scale partitions data into categories that are mutually exclusive and collectively exhaustive.
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Nominal scales are used to categorize data into non-overlapping groups, where each group is unique and exhaustive, meaning that there are no categories left out. Examples of nominal scales include gender, race, and occupation.

A Nominal Scale Partitions Data into Categories That Are Mutually