Types of Data

There are two types of data mentioned in the text, which are:

1. Quantitative Data:
Quantitative data refers to numerical information that can be measured or counted. It is based on quantities or amounts and can be expressed in terms of numbers. This type of data can be further divided into two subcategories:

- Discrete Data: Discrete data consists of whole numbers or integers that have a clear separation between values. For example, the number of siblings a person has or the number of pets in a household.

- Continuous Data: Continuous data includes measurements that can take on any value within a certain range. It is often represented by real numbers and can be measured with great precision. Examples of continuous data include height, weight, temperature, and time.

2. Qualitative Data:
Qualitative data, also known as categorical data, describes qualities or characteristics that cannot be measured numerically. It is based on qualities, attributes, or properties and is often expressed in descriptive terms. Qualitative data can be further classified into two subcategories:

- Nominal Data: Nominal data consists of categories or labels that have no inherent order or ranking. It is used to classify data into distinct groups. Examples of nominal data include gender, eye color, and favorite color.

- Ordinal Data: Ordinal data represents categories that have a natural order or ranking. It allows for a relative comparison between values. Examples of ordinal data include ratings, rankings, and satisfaction levels.

Summary:
In summary, the text mentions two types of data: quantitative data and qualitative data. Quantitative data involves numerical measurements and can be further classified as discrete or continuous. On the other hand, qualitative data describes qualities or characteristics and can be categorized as nominal or ordinal.