Question 2 What type of data represents a category?

To answer this question, we need to understand the different types of data and their characteristics. Data can be broadly categorized into two types: quantitative and qualitative. 1. Quantitative data: This type of data represents numerical values and can be further divided into two subtypes: - Discrete data: This includes whole numbers and can only take specific values. For example, the number of students in a class or the number of cars in a parking lot. - Continuous data: This includes any value within a range and can be measured on a scale. For example, the height of a person or the temperature of a room. 2. Qualitative data: This type of data represents categories, attributes, or qualities. It cannot be measured numerically and is often expressed in words or symbols. Qualitative data can be further divided into two subtypes: - Nominal data: This represents categories that do not have any inherent order or ranking. For example, the colors of the rainbow or the types of cars. - Ordinal data: This represents categories that have a natural order or ranking. For example, the levels of education (elementary, middle, high school, college) or the ratings of a movie (1-star, 2-star, 3-star, 4-star, 5-star). The type of data that represents a category is **qualitative data**, specifically **nominal data** when the categories do not have any inherent order or ranking.