What kind of data is characterized by being in the form of numbers that can be measured?

Quantitative data is characterized by being in the form of numbers that can be measured. This type of data allows for the expression of quantities and enables statistical analysis, making it useful for various fields such as science, economics, and social research. Quantitative data can represent anything from counts and measurements (like height, weight, and temperature) to more complex numerical values in datasets.

In contrast, qualitative data describes qualities or characteristics and is often non-numerical, focusing on attributes and descriptions rather than measurement. Measured data is not a standard classification in data types; instead, it typically falls under quantitative data when referring to numeric measurements. Statistical data usually refers to data that has been collected and summarized, which can include both qualitative and quantitative data but is not exclusively determined by numerical measurement. Therefore, quantitative data is the most accurate choice for the type of data represented by measurable numbers.