Which type of data is characterized as numeric data?

The correct choice is quantitative data, which is defined by its use of numbers to represent measurable quantities. This type of data can be counted or measured and is often expressed in terms such as height, weight, age, scores, or any other numeric values that can be subjected to statistical analysis.

Quantitative data is valuable in many fields, as it allows for a range of mathematical operations, thereby providing a basis for comparison, trend analysis, and predictive modeling.

In contrast, qualitative data refers to descriptive information that cannot be easily measured or expressed numerically, such as opinions, feelings, or characteristics. Subjective data involves personal interpretations and perspectives, while objective data is based on observable phenomena that can be measured without personal bias. Understanding these distinctions is crucial in data analysis and in determining the appropriate methods to collect and interpret information.