What type of data is characterized as being measurable and manipulable through numerical analysis?

Quantitative data is characterized by its ability to be measured and manipulated through numerical analysis. This type of data is typically represented in numerical forms, such as counts, measurements, or statistics, making it suitable for mathematical computations and statistical analysis. Quantitative data allows for the assessment of relationships, comparisons, and trends, providing a clear framework for understanding and decision-making.

In contrast, qualitative data refers to non-numerical information that can describe characteristics or qualities but cannot be easily measured in numerical terms. Descriptive data encompasses information that provides details about a dataset but does not inherently possess the capability for numerical analysis. Inferential data pertains to conclusions drawn from sample data to make generalizations about a larger population, which relies on quantitative data to perform statistical inferences. Thus, quantitative data stands out for its measurable and manipulable nature, facilitating detailed numerical analysis.