Question 2 What is true about nominal data?

Nominal data is a type of categorical data that is used to label variables without any quantitative value. Here are some key characteristics of nominal data: 1. **Categorical Nature**: Nominal data consists of categories or groups that do not have a specific order or ranking. Examples include gender, race, or types of fruit. 2. **No Mathematical Operations**: Since nominal data represents categories, you cannot perform mathematical operations like addition or subtraction on it. You can only count the frequency of each category. 3. **Mutually Exclusive**: The categories in nominal data are mutually exclusive, meaning that an observation can belong to only one category at a time. 4. **No Intrinsic Value**: The categories do not have any intrinsic value or meaning beyond their labels. For example, the category "red" does not imply anything about the category "blue." 5. **Data Representation**: Nominal data can be represented using various methods, such as bar charts or pie charts, to show the distribution of categories. 6. **Examples**: Common examples of nominal data include marital status (single, married, divorced), types of pets (dog, cat, bird), and colors (red, blue, green). In summary, nominal data is characterized by its categorical nature, lack of order, and inability to perform mathematical operations, making it distinct from ordinal, interval, and ratio data types.