Which type of data involves numerical measurements such as height or weight?

Quantitative data is characterized by numerical measurements that can be expressed in terms of magnitude or quantity. This type of data includes values such as height, weight, temperature, and age. These measurements allow for mathematical calculations, comparisons, and statistical analyses, making quantitative data fundamental for many engineering and scientific applications.

In contrast, qualitative data consists of non-numerical characteristics or attributes, such as colors, names, or descriptive categories that do not have a measurable value. Descriptive data refers more generally to data that describes attributes or properties, which may include both qualitative aspects as well as the quantitative measurements used to summarize and interpret data. Statistical data is a broader term that encompasses data that can be analyzed statistically but does not specify the type of data being numerical or categorical.

Thus, the confusion with classifications such as qualitative or descriptive data highlights the importance of clearly distinguishing between types of data, particularly when dealing with measurements that provide essential information for analysis in engineering contexts.