Parametric statistics

Parametric statistics is like playing with different colored blocks. Imagine you have a box with lots of blocks of different shapes and colors. Each shape corresponds to a different type of thing you might be measuring, like height or weight.

Parametric statistics uses a special set of rules to play with these blocks. It assumes that the measurements you make of these things (like height or weight) follow a certain set of rules, called a "distribution." It's like saying that every time you measure height, the results will be a certain shape, like a bell or a mountain.

Once we know what kind of distribution our measurements follow, we can do some cool math stuff with them. We can compare two groups of measurements to see if they're different or the same. We can also predict what future measurements might look like, based on the ones we've already seen.

So when we talk about parametric statistics, we're really just talking about a way to play with the blocks of data we measure. We organize them in certain ways to make math easier, and we make assumptions about what the data will look like so we can use these math rules to help us understand what's going on.