Times whatever value we're trying to get minus the mean of our distribution divided by the standard deviation of our distribution squared. And so if you think about it, actually, this is a good thing to just notice right now. This is how far I'm from the mean, and we're dividing that by the standard deviation of whatever our distribution is. And this is a preview of actually a normal distribution that I've plotted. The purple line right here is the normal distribution. And just so you know, the whole exercise here, I know I jump around a little bit, is to show you that the normal distribution is a good approximation for the binomial distribution and vice versa. If the binomial distribution, if you take enough trials in your binomial distribution, we'll touch on that in a second, but the intuition of this term right here I think is interesting.