A researcher looks at several classrooms, and counts the number of people with brown eyes in each class. Is this qualitative, quantitative-discrete, or quantitative-continuous data

Since you cannot have fractions of persons (unless there is a rare condition in which some persons have one brown and one blue eye), it is discrete. Since you are not considering degrees of brownness of the eyes, it is quantitive.

To determine whether the data collected by the researcher is qualitative, quantitative-discrete, or quantitative-continuous, we need to understand the nature of the data being collected.

Qualitative data refers to information that is descriptive in nature and cannot be expressed in numerical form. It typically includes categories, labels, or characteristics, such as colors, types, or preferences.

Quantitative data, on the other hand, represents data that can be measured or expressed using numbers. It is further divided into two subcategories: discrete and continuous.

Discrete quantitative data refers to data that can be counted and takes on whole numbers, usually representing individual items or categories. Examples include the number of books on a shelf, the number of students in a classroom, or the number of brown-eyed individuals in each class.

Continuous quantitative data represents measurements that can take on any value within a given range. This type of data is often collected using instruments, and can include measurements like height, weight, temperature, or time.

In the given scenario, the researcher is counting the number of people with brown eyes in each class. Since the data being collected involves counting and takes on whole numbers, it falls under the category of quantitative-discrete data.