A variable is an attribute that describes a person, place, thing, or idea. The value of the variable can "vary" from one entity to another.

In statistics, a variable is a characteristic of interest that you measure, record, and analyze. Statisticians understand them by defining the type of information they record and their role in an experiment or study.

Sep 19, 2022 · In statistical research, a variable is defined as an attribute of an object of study. Choosing which variables to measure is central to good experimental design.

Oct 21, 2023 · Variables play a crucial role in data analysis. Data sets collected through research typically consist of multiple variables, and the analysis is driven by how these variables are related, …

Variables either are the primary quantities of interest or act as practical substitutes for the same. The importance of variables is that they help in operationalization of concepts for data collection.

Sep 22, 2021 · This guide provides an outline of different types of variables in the statistical analysis, along with examples. But before that, let us first describe a variable.

However, in statistics, you’ll come across dozens of types of variables. In most cases, the word still means that you’re dealing with something that’s unknown, but—unlike in algebra—that unknown isn’t …

Jan 9, 2026 · This page explains the concept of variables in datasets, categorizing them into two main types: categorical and numerical. Categorical variables are subdivided into nominal and ordinal, …

This guide provides all the information you require to understand the different types of variable that are used in statistics.

Variables are characteristics or qualities of a person, animal, or object that you can count or measure. As the term suggests, the value of the variable can vary, or change.