Let's draw its distribution. And let me draw the parameters for that distribution. So it has some true mean, some population mean for the random variable Y. And it has some variance right over here. So it has some variance to this distribution. And I've drawn it roughly normal. Once again, we don't have to assume that it's normal, because we're going to assume when we go to the next level that when we take the samples, we're taking enough samples that the central limit theorem will actually apply.