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

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.

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 ...

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

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

The possible results of rolling a die provide an example of a discrete uniform ... in probable outcomes and the data is discrete, rather than continuous. Its shape resembles a rectangle, rather ...

But in an investigation into eye colour, the number of people is the dependent variable and the data is discrete. Independent variables can be categoric or continuous. An example of categoric data ...

Both discrete and continuous data are valuable for all sorts of data-driven decisions. Valuable research and insights are made by combining both sets of data. Here are some examples where discrete ...