We can estimate the true standard deviation of the population with our sampling standard deviation, which was 0.5, 0.5 divided by 10. Our best estimate of the standard deviation of the sampling distribution of the sample mean is 0.05. Now, we can say, and I'll switch colors, the probability that the parameter p, the proportion of the population saying one, is within two times, remember, our best estimate of this right here is 0.05, of a sample mean that we take is equal to 95.4%. And so, we could say the probability that p is within two times 0.05 is going to be equal to, 2.0 is going to be 0.10, of our mean is equal to 95. And actually, let me be a little careful here. I can't say the equal now, because over here, if we knew this, if we knew this parameter of the sampling distribution of the sample mean, we could say that it is 95.4%. We don't know it.