And the rejecting something that is true, that's type one, and failing to reject something that is false, that is type two. And so with that in mind, let's do another example. A large university is curious if they should build another cafeteria. They plan to survey a sample of their students to see if there is strong evidence that the proportion interested in a meal plan is higher than 40%, in which case, they will consider building a new cafeteria. Let P represent the proportion of students interested in a meal plan. Here are the hypotheses they'll use. So the null hypothesis is that 40% or fewer of the students are interested in a meal plan, while the alternative hypothesis is that more than 40% are interested.