What is the primary distinction between qualitative and quantitative data?

Quantitative data is characterized by its ability to be measured and expressed numerically. This type of data provides information that can be quantified, meaning it can be analyzed statistically to draw conclusions or identify trends. For instance, measurements such as height, weight, and temperature are all examples of quantitative data because they can be precisely calculated and compared numerically. The focus on measurable values is what sets quantitative data apart from qualitative data, which typically encompasses descriptive attributes that do not have inherent numerical value.

By understanding that quantitative data focuses on numerical measurements, one can appreciate its role in analysis, allowing for various statistical methods to be employed in interpreting results. This foundational concept is crucial for conducting research and making data-driven decisions across multiple fields, from social sciences to natural sciences.