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

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.

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 ...

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Build foundational knowledge of data science with this introduction ...

This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

However, the application to a broader range of data problems has been largely overlooked. The purpose of this article is to show how Bayesian graphical models unify and simplify many standard discrete ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 6, No. 3 (Sep., 2001), pp. 340-355 (16 pages) Measurements of both continuous and discrete outcomes are encountered in many ...

Description: A first course in probability, intended to serve as a background for statistics and other applications. Sample spaces and axioms of probability, discrete and continuous random variables, ...