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. q is, we could write it like this. So this isn't an X anymore, this is the Greek letter chi, although it looks a lot like a curvy X. So it's a member of chi-squared, and since we're only taking one sum over here, we're only taking the sum of one independent, standard normally distributed variable, we say that this only has one degree of freedom.