Patients recovering from an appendix operation normally spend an average of 6.3 days in the hospital. The distribution of recovery times is normal with a ? = 2.0 days. The hospital is trying a new recovery program designed to lessen the time patients spend in the hospital. The first 16 appendix patients in this new program were released from the hospital in an average of 5.3 days. On the basis of these data, can the hospital conclude that the new program has a significant reduction of recovery time. Test at the .05 level of significance. Q1: The appropriate statistical procedure for this example would be a A. t-test B. z-test Q2: Is this a one-tailed or a two-tailed test? A. one-tailed B. two-tailed Q3: The most appropriate null hypothesis (in words) would be A. There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B. There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C. The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D. The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. Q4: The most appropriate null hypothesis (in symbols) would be A. ?new program = 6.3 B. ?new program = 5.3 C. ?new program (less than or equal to) 6.3 D. ?new program (greater than or equal to) 6.3 Q5: Set up the criteria for making a decision. That is, find the critical value using an alpha = .05. (Make sure you are sign specific: + ; - ; or plus/minus ) (Use your tables) _________