What type of data do closed questions yield?

Closed questions typically yield quantitative data. This type of data refers to information that can be measured and expressed numerically. Closed questions are structured in a way that provides respondents with specific options, often in the form of "yes" or "no," or using multiple-choice answers. This allows for easier data analysis because the responses can be easily counted and statistically analyzed.

For example, if a survey asks, "Do you own a car? (Yes/No)," the results can be quantified (e.g., 70% answered 'Yes' and 30% answered 'No'). This numerical data is valuable for researchers and analysts who want to identify trends, make comparisons, or draw conclusions based on the responses.

In contrast, qualitative data refers to information that is descriptive and often subjective, while exploratory data focuses on gathering insights and ideas without specific numerical value. Descriptive data generally pertains to detailed information that outlines characteristics but doesn’t fit neatly into a numeric framework. Therefore, the correct choice aligning with the nature of closed questions is quantitative data.