And that would be that the true population proportion of people who want to buy coffee is 30%. And that her alternative hypothesis is that no, the true population proportion, the true population parameter there, is greater than, is greater than 30%. And so if we're talking about what would result in the highest power for her test. So a high power, a high power means the lowest probability of making a type two error. And in other videos, we've talked about it. It looks like she's dealing with the sample size and what is the true proportion of customers that would buy coffee. And the sample size is under her control.