The methods and models presented here are not only natural generalizations of structural equation and path analysis methods for continuous varibles to include discrete variables but also provide a ...

A random variable is one whose value is unknown or a function that assigns values to each of an experiment’s outcomes. A random variable can be discrete or continuous.

The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. This article explores what the Kruskal–Wallis test is, what it tells us and when ...

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 ...

NICK LORD, Discrete random variables having equal mean and variance, The Mathematical Gazette, Vol. 98, No. 542 (July 2014), pp. 347-349 ...