The next condition here, it looks all mathematical, but this is really the normal condition. And the idea behind the normal condition is that in order to construct these confidence intervals, we're assuming that the sampling distribution of the sample proportions is roughly normal. And it is not skewed to the right or skewed to the left like this. And so right here it says, look, the sample size times our sample proportion has to be greater than or equal to 10. Or our sample size times one minus our sample proportion has to be greater than or equal to 10. Well, another way to think about this is our successes, our successes in our sample need to be greater than or equal to 10. And our failures need to be greater than or equal to 10.