Understanding Categorical Variables in Student Majors

categorical variable, types of data6. The classification of student major (accounting, economics, management, marketing, other) is anexample of. a) a categorical variable.. b) a discrete variable.. c) a continuous variable.. d) a table of random numbers.

The classification of student major (accounting, economics, management, marketing, other) is an example of a categorical variable

The classification of student major (accounting, economics, management, marketing, other) is an example of a categorical variable.

A categorical variable is a type of variable that takes on values that are in categories or groups. In this case, the different majors – accounting, economics, management, marketing, and other – represent distinct categories or groups, making it a categorical variable.

A discrete variable, on the other hand, is a variable with a countable number of possible values. For example, if we were counting the number of students in each major, that would be a discrete variable because it can only take on whole number values.

A continuous variable is a variable that can take on any value within a range, typically with decimal places. An example of a continuous variable would be the height or weight of the students.

Lastly, a table of random numbers is not related to the question at hand and is therefore not applicable in this context.

So the correct answer is a) a categorical variable.

More Answers:

Understanding Math: Identifying Continuous Variables and Their Characteristics in Real-Life Scenarios
Understanding the Difference: Discrete vs. Continuous Variables in Mathematics
Understanding Student Class Designations: Categorical Variables Explained

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