What type of data consists of numerical values that stand for magnitude?

Get ready for the CertNexus Certified Data Science Practitioner Test. Practice with flashcards and multiple choice questions, each question has hints and explanations. Excel in your exam!

Quantitative data is characterized by numerical values that represent a measurable quantity or magnitude. This type of data can be used in various mathematical calculations and statistical analyses. For instance, it encompasses information such as height, weight, temperature, and age, which can all be expressed as numbers with meaningful magnitude.

Quantitative data is further divided into two categories: continuous and discrete. Continuous data includes numbers that can take on any value within a range, such as weight or height, while discrete data consists of integers or counts that are distinct and separate, such as the number of students in a classroom or the number of cars in a parking lot.

Understanding that quantitative data is focused on numerical expression helps differentiate it from qualitative data, which describes characteristics or qualities instead of measurable quantities.

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