And so this is also a good indicator that this is going to be a reasonably unbiased estimator. Now let's think about the standard deviation for our sample proportion. Well, we can just view that as our standard deviation of our binomial random variable X divided by N. So this is going to be equal to the square root of N times P times one minus P, all of that over N, which is the same thing as if we put this, if we divide by N inside the radical, it'd be the same thing as the square root of N, P times one minus P over N squared. Divide the numerator and denominator by N, you will get the square root of P times one minus P, all of that over N. And so in this particular situation where our parameter is 0.6, where our population parameter is 0.6, so it's going to be 0.6, that's the true proportion for our population. And then what would our standard deviation be for our sample proportion? Well, it's going to be equal to the square root of 0.6 times 0.4, all of that over 10. And we can get a calculator out to calculate that.