But now, and that's when we had sample size of 10. But what if we have a sample size of 50 every time? Well, notice, now it looks like a much tighter distribution. This isn't even going all the way to one yet, but it is a much tighter distribution. And the reason why that made sense, the standard deviation of your sample proportion, it is inversely proportional to the square root of n. And so that makes sense. So hopefully you have a good intuition now for the sample proportion, its distribution, the sampling distribution of the sample proportion, that you can calculate its mean and its standard deviation. And you feel good about it because we saw it in a simulation.