Question

you are working with a team of vascular surgeons who seeks to compare the 2. Assu me that patient outcome of ruptured aneurysm their patient that, on average, 6% of patients with he previous five year's data, you determine that 4 of the team's aneurysm patients ruptured out of 15 a. Calçulate and report the binomial distribution. in their clinic with national averages. You determine t demographics are similar to several similar studies in the literature who showed aneurysms rupture within a 5 year period. In reviewing Are aneurysms more or less common at the team's clinic than the national average? (5 points) what is the probability that resultat least this extreme would be observed? (3 points) For the previous problem, assume that you are working with a hospital that has experienced 245 aneurysm ruptures out of 2300 patients in the past five years a. 3. e a null and alternative hypothesis for determining whether this hospital has a similar rate of aneurysm rupture to the national average listed in problem 3 (3 points). distribution for this scenario? (3 points) normal approximation)( have a ruptured aneurysm from this hospital. (5 points) violation to the random sampling assumption. (3 points) b. Why might the normal distribution approximation be more appropriate than the binomial n extreme result simply by chance (using the d. Calculate the 95% confidence interval for the proportion of the entire set of patients who e. Describe (contrive) a hypothetical situation in this study that might be considered a f. What would be the consequences of Type 1 error in this study? (3 points)

Answer 1

Let χ bRtne 垓nwubun of patients 艹eh ational average- NDuld have been toauu's clini c numben of patieuts sith aneury s ns eupture is 4+ ow is cowmon thon average mor eDIAOA +haw national average o ) (0.06)(0.94) +--.. +バ = 0.0103 Note uing Binonial erobaki lly no pobaloi lato ph-o) (1S)(o.oe3 (1-0.06). =0. 39 s 3 ete.