continuous quantitative variable

What are the 3 types of quantitative variables?
Let's consider different features of variables used in quantitative research studies.
Here we explore quantitative variables as being categorical, ordinal, or interval in nature.
These features have implications for both measurement and data analysis.
What are continuous quantitative data types?
Quantitative data is split into two types of data: discrete one, which represents countable items.
And continuous data, which outlines data measurement.
The continuous numerical data is further subdivided into interval and ratio data, known for measuring certain items.
What is an example of a continuous quantitative variable?
Examples of continuous variables are body mass, height, blood pressure and cholesterol.
A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation.
Therefore, at a macroscopic level, the mass, temperature, energy, speed, length, and so on are all examples of continuous variables.
Another example of a continuous variable is height.

On the other hand, quantitative continuous variables are variables for which the values are not countable and have an infinite number of possibilities. For example: Age. Weight. Height.

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PDF	Data Types Examples of continuous variables are body mass height

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