What defines quantitative data?

Quantitative data is characterized by its ability to be measured and used for calculations, making numerical representation a key aspect. This type of data includes values that can be expressed in numbers, which allows for statistical analysis and comparisons. Examples of quantitative data include measurements such as height, weight, temperature, and scores, all of which can be manipulated mathematically to derive further insights, such as averages or variances.

In contrast, the other options refer to different kinds of data. Subjective opinions fall under qualitative data, which captures personal insights and perceptions rather than numerical measurements. Non-numerical data that categorizes information pertains to categorical data, which organizes information into discrete groups without any inherent numerical value. Lastly, data based on observations and descriptions also aligns with qualitative data, focusing on characteristics that cannot be easily quantified. Thus, the defining feature of quantitative data lies in its numerical nature, suitable for analysis and computation.