And the variance is what you calculate before you calculate the standard deviation. So that's interesting. And then this top right here, this could be written as e to the minus 1 half times, and if we were to just take this, both of these things here are squared, so we could just say x minus the mean over sigma squared. And this kind of clarifies a little bit what's going on here a little bit better. Because what's this? x minus sigma is the distance between whatever point we want to find, let's say we're here, x minus mu, mu is the mean, so that's here, so that's this distance. And this is the standard deviation, which is this distance.