A common example is to provide information about an individual’s Body Mass Index by stating whether the individual is underweight, normal, overweight, or obese.

This categorized BMI is an example of an ordinal categorical variable.

## Is BMI a data ratio?

Data Quality & Definition

It is defined as the weight in kilograms divided by the square of the height in metres (kg/m2). Measured BMI values are used to define whether an individual is considered to be underweight, healthy, overweight or obese.

## What are the four types of variables?

Four Types of Variables

That is the reason why the terms “nominal”, “ordinal”, “interval”, and “ratio” are often referred to as levels of measure. Now let’s look at the differences so that you can tell them apart.

## What type of data is continuous?

Continuous Data

Continuous Data represents measurements and therefore their values can’t be counted but they can be measured . An example would be the height of a person, which you can describe by using intervals on the real number line. Interval values represent ordered units that have the same difference.

## Is BMI qualitative or quantitative?

Typically, a variable can describe either a quantitative or qualitative characteristic of an individual. Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status.