Single variable data is usually called univariate data. This is a type of data that consists of observations on only a single characteristic or attribute. Single-variable data can be used in a descriptive study to see how each characteristic or attribute varies before including that variable in a study with two or more variables.
Millions of flashcards designed to help you ace your studies
Sign up for free
Achieve better grades quicker with Premium
Geld-zurück-Garantie, wenn du durch die Prüfung fällst
Review generated flashcards
Start learning or create your own AI flashcards
Team Single Variable Data Teachers
Sign up for free to gain access to all our flashcards.
What is the difference between variable data and attribute data?
Variable means the measured values can be varied anywhere along a given scale, whilst attribute data is something that can be measured in terms of numbers or can be described as either yes or no for recording and analysis.
What is a single variable example?
The ages of students in a class.
What is the difference between single-variable data and two-variable data?
Single variable data gives measures of only one attribute whilst two-variable data gives measures of two attributes describing a subject.
What is single-variable data?
Single variable data is used to describe a type of data that consists of observations on only a single characteristic or attribute.
At StudySmarter, we have created a learning platform that serves millions of students. Meet the people who work hard to deliver fact based content as well as making sure it is verified.
Lily Hulatt is a Digital Content Specialist with over three years of experience in content strategy and curriculum design. She gained her PhD in English Literature from Durham University in 2022, taught in Durham University’s English Studies Department, and has contributed to a number of publications. Lily specialises in English Literature, English Language, History, and Philosophy.
Get to know Lily
Gabriel Freitas is an AI Engineer with a solid experience in software development, machine learning algorithms, and generative AI, including large language models’ (LLMs) applications. Graduated in Electrical Engineering at the University of São Paulo, he is currently pursuing an MSc in Computer Engineering at the University of Campinas, specializing in machine learning topics. Gabriel has a strong background in software engineering and has worked on projects involving computer vision, embedded AI, and LLM applications.
Get to know Gabriel