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

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 ...

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. Data can be presented in a ...

Can discretely sampled financial data help us decide which continuous-time models are sensible? Diffusion processes are characterized by the continuity of their sample paths. This cannot be verified ...