When three is a fairly large percentage of our population, in this case, it is 15%, the percent chance of getting three boys without replacement is 10.5%, which is reasonably different from 12 1⁄2%. It is 2% different, but 2% relative to 12 1⁄2%. So that's someplace in between 10 and 20% difference in terms of the probability. So this is a reasonably big difference. But as we increase the population size without increasing the sample size, we see that these numbers get closer and closer to each other, all the way so that if you have 10,000 people in your population and you're only doing three trials, that the numbers get very, very close. This is actually 12.49 something percent. But if you round to the nearest 10th of a percent, you see that they are close.