Well, if you increase your sample size, then both of these distributions will, these sampling distributions are going to get narrower. And so if these sampling distributions, if both of these sampling distributions get narrower, then that situation where you are not rejecting your null hypothesis, even though you should, is going to have a lot less area. There's gonna be, one way to think about it, there's going to be a lot less overlap between these two sampling distributions. And so let me write that down. So another way is to, if you increase n, your sample size, that's going to increase your power. And this, in general, is always a good thing if you can do it. Now other things that may or may not be under your control is, well, the less variability there is in the data set, that would also make these sampling distributions narrower, and that would also increase the power.