Describe type I and type II errors for a hypothesis test of the indicated claim. A lumber store claims that no more than 60% of its new customers will return to buy their next order of lumber. Describe the type I error. Choose the correct answer below. OA. A type I error will occur when the actual proportion of new customers who return to buy their next order of lumber is at least 0.60, but you reject Ho: p20.60. OB. A type I error will occur when the actual proportion of new customers who return to buy their next order of lumber is no more than 0.60, but you fail to reject Ho: p≤0.60. OC. A type I error will occur when the actual proportion of new customers who return to buy their next order of lumber is at least 0.60, but you fail to reject Ho: p20.60. OD. A type I error will occur when the actual proportion of new customers who return to buy their next order of lumber is no more than 0.60, but you reject Ho: p ≤ 0.60. Describe the type II error. Choose the correct answer below. OA. A type Il error will occur when the actual proportion of new customers who return to buy their next order of lumber is less than 0.60, but you fail to reject Ho: p ≤ 0.60. OB. A type Il error will occur when the actual proportion of new customers who return to buy their next order of lumber is less than 0.60, but you reject Ho: p20.60. OC. A type Il error will occur when the actual proportion of new customers who return to buy their next order of lumber is more than 0.60, but you fail to reject Ho: p ≤ 0.60. OD. A type Il error will occur when the actual proportion of new customers who return to buy their next order of lumber is more than 0.60, but you reject Ho: p20.60.