But if you round to the nearest 10th of a percent, you see that they are close. So I think most people would say, all right, if your sample is 3 10,000th of the population, that you'd feel pretty good treating this column without replacement as being pretty close to being a binomial variable. And most people would say, all right, this first scenario where your sample size is 15% of your population, you wouldn't feel so good treating this without replacement column as a binomial random variable. But where do you draw the line? And as we alluded to earlier in the video, the line is typically drawn at 10%. That if your sample size is less than or equal to 10% of your population, it's not unreasonable to treat your random variable, even though it's not officially binomial, to say, okay, maybe it is, maybe I can functionally treat it as binomial, and then from there I can make all of the powerful inferences that we tend to do in statistics. With that said, the lower the percentage the sample is of the population, the better.