This article covers meaning & overview of Quantitative Variable from statistical perspective.
A quantitative variable is a variable which can have some numerical value i.e. it can be represented in numbers. Also, arithmetic operations can be performed on these variables i.e. even after performing operations like addition, subtraction, multiplication or division, we get some number as the result.
These variables can also be compared with each other to obtain meaningful results. Quantitative variables can be of two types – discrete and continuous. Discrete variables have whole numbers as their values whereas continuous variables can even have values in between the whole numbers.
In the above number line, ‘x’ is a discrete variable and ‘a’ is continuous variable.
Eg- There are 4 apples in the basket. Here, the number of apples is a discrete variable
Temperature is 35.5 degree C. Here, temperature is a continuous variable.
In statistics, frequency of an observation is used as a quantitative variable. Frequency will always be represented by numbers.
This article has been researched & authored by the Business Concepts Team which comprises of MBA students, management professionals, and industry experts. It has been reviewed & published by the MBA Skool Team. The content on MBA Skool has been created for educational & academic purpose only.
Browse the definition and meaning of more similar terms. The Management Dictionary covers over 1800 business concepts from 5 categories.
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