Which of the following provides the best example of categorical data? A. Math scores of 8 th grade students for Q1 B. Waiking speed in miles per hour. Q. Number of siblings living at home. D. Preferred drink type at McDonalds.

Let’s talk about preferred drink types at McDonald's! This information can be categorized into groups like soda, milkshake, coffee, or water. Each drink type is a discrete category that doesn’t involve any numerical measurements, making it a quintessential example of categorical data: easy to classify and analyze based on preferences! When it comes to understanding categorical data, it’s essential to avoid mixing it up with numerical data, like math scores or walking speed. Always remember that categorical data is about qualities and groups, while numerical data involves measurable quantities. The magical world of data becomes a lot clearer when you keep these distinctions in mind!