Quantitative data is best defined as

Quantitative data is best defined as data reported in numerical terms, which allows for measurement and statistical analysis. This type of data is often derived from experiments, surveys, or other structured methods that generate numerical outputs, enabling researchers to quantify variables and analyze relationships between them.

Quantitative data is essential in research because it provides a clear and objective basis for conclusions, allowing for comparisons and generalizations across different settings or populations. By using numerical measures, researchers can apply statistical tests to examine differences, correlations, or trends, thus supporting evidence-based decision-making in prevention and health interventions.

In contrast, other options focus on qualitative forms of data. For instance, narrative information and personal experiences represent qualitative data, which is more subjective and descriptive, capturing the richness of human experience rather than providing numerical insights. Therefore, while both quantitative and qualitative data have their place in research and analysis, the hallmark of quantitative data lies in its numerical presentation and the objective nature of its measurement.