Which type of data is represented numerically?

Quantitative data refers to information that can be expressed numerically, allowing for precise measurement and analysis. This type of data is often collected in scientific experiments and research through counts, measurements, or similar numeric data. Examples include height, weight, temperature, and age, where numerical values allow for statistical analysis, comparisons, and a clearer understanding of trends and patterns.

In contrast, conceptual data involves ideas or theories that do not lend themselves to numeric representation, while qualitative data encompasses descriptive attributes that cannot be quantified, focusing instead on characteristics or qualities. Descriptive data serves to summarize characteristics of a dataset but may not be numerically distinct. Thus, quantitative data is the only type that inherently represents numerical values, making it a foundational element in scientific research and statistical interpretation.