This is one minus 0.1, which is 0.9. Well, 10 times 0.1 is one, so that's not greater than or equal to 10, so just off of that, we don't meet the normal condition, but even the second one, 10 times 0.9 is nine. That's also not greater than or equal to 10, so we don't meet this normal condition. We can't feel good that the sampling distribution is roughly normal, which we normally assume when we're trying to make this type of calculation. And then last but not least, independence. Independence is to feel good that each of the data points in your sample are independent. The results of whether they are a success or a failure is independent of each other.