The type of scientific data that involves numeric values is referred to as quantitative data. This type of data is essential for conducting statistical analyses and experiments, allowing researchers to make objective conclusions based on measurements. Examples of quantitative data include height, weight, and temperature, usually represented in numerical form. In contrast, qualitative data describes characteristics or qualities that are not easily measured. Together, these data types help scientists understand patterns, test hypotheses, and draw meaningful insights from their research.