Suppose that our multi-institutional arrangement serves a well-defined population and operates two clinics that serve two separate market or service areas. We believe that distance keeps people from seeking care and are concerned that, on average, the distance traveled from the patient's residence to Clinic A exceeds that of Clinic B. To assess the existence of a potential problem, suppose that we surveyed 25 individuals in each market and obtained information describing the miles to the clinic.
If we wish to be 95% certain of avoiding a Type I error, use these data to examine differences in the average distance traveled to the two clinics. Include the hypotheses (both null and alternate), alpha, test statistic (highlight where it is calculated on your.
A: 7, 10, 13, 21, 14, 1, 2, 6, 7, 1, 4, 2, 14, 18, 2, 3, 10, 2, 7, 11, 4, 6, 6, 3,4
B: 4, 1, 6, 7, 10, 3, 2, 5, 9, 11, 13, 2, 1, 4, 6, 8, 8, 9, 3, 2, 5, 1, 6, 7,4