Key Points Discrete data is qualitative data. Continuous data is quantitative data. Simply put, discrete values are finite, and continuous values are infinite. When it comes to Six Sigma, data is ...

Distinguishing between discrete vs. continuous data and situations that call for each data type is important in ensuring you get your desired results.

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.

Types of data include continuous, discrete and categoric. Classifying a variable as a particular type of data is important when considering how to present the data.

This paper proposes a unifying approach to such analysis for a variety of discrete and continuous outcomes. A class of generalized estimating equations (GEEs) for the regression parameters is proposed ...

In contrast — continuous data shows any value from a given range. Understanding the numerical data and the difference between discrete and continuous data might pose a challenge initially.