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.

WBQ Digital literacy Comparing discrete and continuous data Different types of data can be used to create charts, graphs and tables.

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.

Key Points Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but that depends on the measurements set. It allows you to quantify things ...

A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.

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.