Let me define a new random variable, q, that is equal to you essentially sampling from this standard normal distribution, and then squaring whatever number you got. So it is equal to this random variable X squared. The distribution for this random variable right here is going to be an example of the chi-squared distribution. Actually, what we're going to see in this video is that the chi-squared distribution is actually a set of distributions, depending on how many sums you have. Right now, we only have one random variable that we're squaring. So this is just one of the examples, and we'll talk more about them in a second. So this right here, we could write that q is a chi-squared distributed random variable, or that we could use this notation right here.