The nominal level of measurement is the most basic level of measurement used in statistics. It involves categorizing data into distinct groups or categories that do not have any intrinsic order or ranking. Here are some key characteristics of nominal data: 1. **Categories**: Nominal data consist of categories that represent qualitative attributes. Examples include gender (male, female), colors (red, blue, green), or types of fruits (apple, banana, orange).
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