Continuous data can be calculated from other types of data. For example, if you have a set of discrete values that represent ...

Measures of time, height, temperature, and thickness are all examples of continuous data. Discrete data is data such as ...

But when it comes to discrete vs. continuous data, what exactly are the key differences? Read on for explanations and examples of how both data types help people interpret numerical data, as well as ...

Discrete data consists of whole numbers that are counted rather than measured. For example, when you track items sold, the data is considered discrete -- you don't normally sell half an item.

A dripping tap shows discrete data, because each individual drop can be counted. The data collected will simply show the number of drops. A gushing tap is an example of continuous data.

Common examples of discrete distributions include ... distributions are generally represented by bars because the data is discrete. Continuous probability distributions generally appear as a ...

For example this could be the average cumulative ... the annualised equivalent. Discrete data meanwhile shows the return in each individual period separately, typically each individual year ...

In many cases, discrete data can be prefixed with “the number of”. For example: The number of students who have attended the class; The number of customers who have bought different products ...