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. So less variability, and you could measure that as by variance or standard deviation of your underlying data set, that would increase your power. Another thing that would increase the power is if the true parameter is further away than what the null hypothesis is saying. So if you say true parameter far from null hypothesis, what it's saying, that also will increase the power.