Nominal level

Okay kiddo, imagine you have a bunch of toys. Now, you want to organize them based on their color. Green toys go with green toys, blue toys go with blue toys, and so on. That's what we call "nominal level," which means we are grouping things based on their names or categories.

Let's say you have two green toys, a green dinosaur and a green truck. You can group them together because they are both green, but they are different types of toys. We don't really care about their size, shape, or any other characteristics while doing this grouping. We only focus on the named categories - green toys with green toys.

Nominal level is used in many fields, not just with toys. In statistics, it helps organize data into categories based on their names or labels. This allows us to count how many times something appears in a category or group. Like how many green toys do you have, or how many boys and girls are in a class.

So, that's what "nominal level" means. It's just a fancy way of saying we group things together based on their names or categories, and don't care about any other characteristics they might have.