What term describes data that can be analyzed quantitatively?

The term that describes data which can be analyzed quantitatively is "quantitative data." This type of data is characterized by its ability to be measured and expressed numerically, allowing for statistical analysis and the application of mathematical models. Quantitative data often comes from structured methods such as surveys and experiments, where measurements can be taken in the form of numbers.

In this context, the focus is on how quantitative data enables researchers to perform various analyses to draw conclusions, identify patterns, relationships, and make predictions based on numerical evidence. Such data might include parameters like age, height, weight, scores, and categorical counts. This control over measurement enhances the reliability and validity of research findings.

Other types of data, such as qualitative data, refer to descriptive characteristics that are harder to measure precisely and are often analyzed through themes and patterns rather than numerical values. Choices related to dependent data typically refer to factors being measured in an experiment, and numerical data could refer to any data represented in numbers, but it doesn't specify the analysis focus on quantifying for statistical evaluation as clearly as quantitative data does.