In statistics, a variable has two defining characteristics: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.For example,
Bevans, R. (2023, June 21). Types of Variables in Research & Statistics | Examples. Scribbr. Retrieved June 5, 2025, from https://www.scribbr.com/methodology/types-of-variables/ Cite this articleIs this article helpful? 1876 306 Rebecca Bevans Rebecca is working on her PhD in soil ec...
Types of variables in statisticsThe types of variables in statistics that are commonly used are quantitative variables, qualitative variables, independent variables and dependent variables. Quantitative variablesAny variables that can be expressed numerically are called quantitative variables. Some examples of...
The Qualitative variable definition in statistics is one that falls into descriptive categories, things that are not measured. Color, taste, smell, style, mood, and satisfaction are examples of qualitative variables. These variables are not measured with numbers but rather describe the quality of som...
Learn about confounding variables in statistics. See the causes, how to define confounding in statistics, and learn about the impact of the placebo...
There are other ways of classifying variables that are common in statistics. One is qualitative vs. quantitative. Qualitative variables are descriptive/categorical. Many statistics, such as mean and standard deviation, do not make sense to compute with qualitative variables. Quantitative variables have ...
Summary This chapter contains sections titled: Introduction Background Preliminaries for a Multivariable Analysis Aims of Multivariable Models Prediction: Summary Statistics and Comparisons Procedures for Selecting Variables Comparison of Selection Strategies in Examples Selection and Shrinkage Discussiondoi:10.1002...
Continuous Variable in Statistics | Definition & Examples from Chapter 25 / Lesson 5 186K What is a continuous variable in statistics? Learn what constitutes a continuous variable by looking at the definition, seeing examples, and comparing it to discrete and quantitative variables. Related...
The normal distribution has multiple characteristics, from its symmetry to its bell shape, even the type of variables that it accepts are important characteristics of this distribution. There are two important groups of variables in statistics. ...
You must ensure that only those in the treatment (and not control) group receive the treatment Other interesting articles If you want to know more aboutstatistics,methodology, orresearch bias, make sure to check out some of our other articles with explanations and examples. ...