So you could view this as a sample mean or as a sample proportion. And if you do the same thing for the women, the sample proportion is going to be 0.591, or you could even just view this as the sample mean of the sample of 1,000 women. We're the ones voting for it, there's 1, the rest are 0. And just to visualize it properly, let me draw the sampling distribution for the sample proportion. So the sampling distribution, we have a large sample size. We have a large sample size here, and especially because the proportions that we're dealing with aren't close to 1 or 0, and we have a large sample size, the sampling distribution will be approximately normal. So this sampling distribution, let me write this, the sampling distribution of the sample proportion, so it's going to have some mean over here, so the mean of the sampling distribution of the sample proportion, and we've seen it multiple times.