The statistical variable is a characteristic or quality that an individual in a population possesses statistics and that it is prone to acquire certain values, which can be measured and are, for example, age, height, weight, etc.

## Types of statistical variables

There are different types of statistical variables that are classified according to the characteristics by which they are defined. We distinguish two fundamental groups: qualitative statistical variables and quantitative statistical variables.

### Qualitative statistical variable

Qualitative variables are those that have characteristics or qualities that are not represented by numbers but are made with words. We found three subtypes of qualitative variables:

- Qualitative nominal. It is a type of variables whose characteristics or values do not have a logical order. Example: Names of people, animals, colors, etc.
- Qualitative ordinal. In this case, if there is an order or a certain hierarchy. Example: Socioeconomic level, level of studies, etc.
- Qualitative binary. Some statistics place as qualitative those variables that can be two. Example: yes / no answers are the most common.

### Quantitative statistical variable

Quantitative variables, for their part, are those whose characteristics or qualities can be represented, expressed or measured by numbers. We also find a subdivision into two main types of quantitative variables:

- Discrete quantitative. That variable that uses integers and not finite numbers to express its result as an answer. Example: People who make up a family household, age of the respondent, etc.
- Continuous quantitative. For its part, this type of variable uses finite and objective values, as well as decimal numbers. That is, it represents all numbers in general. Example: Weight of a person, height in meters of a person, etc.