# Discuss Numeric Data Subtypes in Statistics?

Numerical data can take 2 different forms, namely; discrete data, which represents countable items and continuous data, which represents data measurement. The continuous type of numerical data is further subdivided into discrete, continuous interval and ratio data, which is known to be used for measuring items.

• Discrete Data: Discrete Data represents countable items and can take both numerical and categorical forms, depending on usage. It takes on values that can be grouped into a list, where finite or infinite. Whether finite or infinite, discrete data take on counting numbers like 1 to 10 or 1 to infinity, with these groups of numbers being countably finite and countably infinite separately.
• Continuous Data: This is a type of numerical data which represents measurementsâ€”their values are described as intervals on a real number line, rather than take counting numbers.
• Interval Data: This is a data type measured along a scale, in which each point is placed at an equal distance from one another. Interval data takes numerical values that can only take the addition and subtraction operations.
• Ratio Data: Ratio data is a continuous data type similar to interval data but has a zero point. In other words, ratio data is interval data with zero points.