So mu sub P2 with a bar over it, so the mean of the sampling distribution for this sample proportion for the women, which is going to be the same thing as the mean of the population, which we already saw is going to be equal to P2. And then the variance for this distribution, for this sampling distribution over here, is going to be P2, is going to be this variance, this variance over here, divided by our sample size. So P2 times 1 minus P2, all of that over N. Now, our whole goal is to get a 95% confidence interval for that. And so what we're going to do is we're going to think about the sampling distribution not for this, and not the sampling distribution for this, but we're going to think about the sampling distribution for the difference of this sample, this sample proportion, and this sample proportion. We've seen it already. This is really, you know, we're talking about proportions, but it's really the same exact ideas that we did when we just compared sample means generally. So let's look at that.