Quantitative Business Analysis Essay

The turn over Hospital puddle has 40 hospitals in various parts of the United States. In these hospitals erst a longanimous is discharged they are given a play along to determine if they are satisfied with the overall service. In this report we go away be showing dissatisfied uncomplainings and electric charges for the total of discharges to try and help the prudence staff try and improve perseverings overall experience. 1. The prospect of a patient responding Dissatisfied in each of the common chord different sections. In Sky Hospital Consortium there are three regions which are einsteinium, rudimentary and West. In the West Region there are 16 hospitals that had 63,791 patients control it last year. In that year there were 5,316 dissatisfied claims in the region. The probability of patients responding dissatisfied is 5,316/ 63,791=0.08333. In the Central Region they have 4 hospitals which were visited by 18,810 patients which 1,513 of them said they were dissatis fied by their visit.The probability of this happening is 1,513/18,810=.08044. In the East there are 20 hospitals that have been visited by 96,061 and had 6,955 dissatisfied patients. The probability of dissatisfied patients in the east region is 6,955/96,061= .07240 2. The probability of a patient filing a titular unsoundness in each of the three different regions. The West had over 942 patients file a complaint in that year. The probability of a patient filing a formal complaint is 942/63,791=.01477 For the Central they had over 199 patients filing a formal complaint. The probability of patients having a formal complaint is 199/18,810= .01058. The East had over 1,200 formal complaints.The probability of patients devising formal complaints in the East hospitals would be 1,200/96,061=.01249. 3. The probability of a patient filing a formal complaint given a patient response of Dissatisfied in eachof the three different regions. In the West hospitals the probability of a patient fil ling a formal complaint given a patient response of dissatisfied is 942/5,316=.17720. In the Central hospitals the probability is 199/1513=.13153. In the East the probability is 1,200/6,955= .17254. 4. The probability of a patient responding Dissatisfied for each hospital. The chart below shows the hospital per region individually where the patients are said to be dissatisfied with the service. The ranks of best to blister out of the 16 hospitals in the West are broken cut down here as well as the 4 hospitals of the Central hospitals and the 20 of the East hospitals.TotalAfter looking at all three regions we are competent to jut that the East by far had the virtually visits to its 20 hospitals it had the most patients by probability would be satisfied much often than the Central and West Region. For patients filing complaints we are able to see that the Central region has a less likely probability and then the East and West Regions. Looking closely though by the event of pa tients overall compared to the East and West Regions, the Central region was probably able to fix the issues sooner before they became filed complaints mostly because they had more time to fade individually.This also shows when you take the patients who were more probable to file a complaint who was dissatisfied in the Central region, which is the lowest, compared to the East and West which were much higher. general per hospital we are able to see the Central Region once more was thebest for Overall ranking between the three regions combined. This shows evidence that the hospitals were able to spend more time with their patients because of less patients being seen.ReferenceAnderson, Sweeney, Cam, Cochran, & Williams. (2013). Essentials of Statistics for line of descent and Econonmics (7e. ed.). Cengage Learning