Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It involves techniques that allow us to use a small amount of data to make generalizations about a larger population. 1. The department for which each employee works in a company: This is an example of nominal data. Nominal data is a type of data that is used to name variables without providing any numerical value. It is the simplest form of data. In this case, the names of the departments (like HR, Finance, Marketing, etc.) are used to categorize employees, but these names do not have any inherent numerical value or order. 2. The quality control of a production line classified as: very efficient, efficient, little efficient, and not at all efficient: This is an example of ordinal data. Ordinal data is a type of data that allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still doesn't allow for relative degree of difference between them. Here, the efficiency levels are ranked from "not at all efficient" to "very efficient", but we can't quantify the exact difference between these levels. 3. The net income of