Final answer:
The data collected for Gender in a study is qualitative, which is descriptive and categorizes attributes of a population. It is distinct from quantitative data, which is numerical and can further be classified as discrete or continuous.
Step-by-step explanation:
In a study, when data you collect is Gender, this data is considered qualitative. Qualitative data refers to categorizing or describing attributes of a population, which are not numerical but descriptive. Examples of qualitative data include characteristics such as hair color, blood type, and ethnic group. Since gender data expresses a category and not a numerical value, it does not lend itself to mathematical operations such as finding averages.
When analyzing different types of data, understanding whether the data is qualitative or quantitative is crucial for appropriate analysis. Quantitative data can be further classified into quantitative discrete or quantitative continuous. An example of quantitative discrete data would be the number of times per week something happens, as it represents countable occurrences. In contrast, an example of quantitative continuous data would be duration (amount of time), as it can take on any value within a range and is measurable.