A large university wants to determine if they should build another cafeteria. They plan to survey a sample of their students to verify the claim that the overall 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: H0: p ≤ 0.40; Ha: p > 0.40 What would be the consequence of a Type II Error in this context? Select one: They don't consider building a new cafeteria when they shouldn't. They consider building a new cafeteria when they should. They consider building a new cafeteria when they shouldn't. They don't consider building a new cafeteria when they should.