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.

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 ...

Not many off-the-shelf ADCs use continuous-time delta-sigma technology. So to get a clearer understanding of the technology, we'll compare it to discrete-time delta-sigma. The major difference ...

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.