Discrete and continuous data are two of the main data types you will encounter in LSS. They are both important for different ...

In the world of data analysis and statistics, continuous and discrete data play fundamental roles. These two types of quantitative data serve different purposes as people use them to draw valuable ...

Discrete distributions contrast with continuous distributions, where outcomes can fall anywhere on a continuum. Common examples of discrete distributions include the binomial, Poisson, and ...

Then there is qualitative and quantitative data. And finally, there are discrete vs. continuous data, which is the fundamentals for every person working with businesses.

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