What type of data is considered quantitative?

Quantitative data is characterized by being numerical and measurable, which allows for statistical analysis and mathematical computations. This type of data can be expressed in terms of quantity, enabling comparisons and the drawing of conclusions based on numerical relationships. Examples of quantitative data include measurements like height, weight, temperature, and test scores.

The other options presented refer to qualitative data, which encompasses non-numerical information. Textual descriptions involve words and details that convey meaning but do not provide measurable quantities. Images and videos are visual content that can convey information but cannot be quantitatively measured in the same way numerical data can. Lastly, sentimental opinions expressed in reviews reflect subjective experiences and thoughts, rather than objective measurements, making them qualitative as well. Thus, numerical data that can be measured is what defines quantitative data, making it the correct choice.