So the first condition is to make sure that your sample is truly random, and they tell us that it's a simple random sample, so we'll take their word for it. The next condition is to assume that your sampling distribution of the sample proportions is approximately normal, and there, you wanna be confident, or you wanna see that in your sample, you have at least 10 successes and at least 10 failures. Well, here, we have 20 successes, which means, well, 50 minus 20, we have 30 failures. So both of those are more than 10, and so meets that condition. And then the last condition is, sometimes it'll called the independence test or the independence rule or the 10% rule. If you were doing this sample with replacement, so if she were to look at one song, test whether it's a female or not, and then put it back in her pile and then look at another song, then each of those observations would truly be independent. But we don't know that.