Urban - Rural Suicide Differences - Respiratory Disease - Statistics Assignment Help

Assignment Task :

Question 1 require you to analyse the unique assignment data set which was created for you. This is labelled ‘dataforxxxxxxxx.xlsx’ where xxxxxxxx represents your Student ID number. The description of this data set is provided below. Your Assessment 1 data set was emailed to your student email address.

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Question 1 
Data was extracted from 100 inpatients with diabetes who attended an Emergency department (ED) of a Sydney hospital between 2016 and 2018. The data included information on demography (stay number, age, age in category, gender), trauma severity, response time and month of admission.

a. Using row or column percentages describe the relationship between trauma severity by gender. 
b. What is the most common severity level of trauma in this cohort
c. what is the relative frequency (%) of males who attended the ED in April? 
d. Use appropriate statistics, to summarise the distribution of age and response time – write the answer in your own words) 
e. Use graph to describe the relationship between trauma severity by age group in category and write 3-4 sentences summarising the graph and implications for clinical practice with one recommendation. 

Question 2 
Local authorities in Mainland Tanzania are concerned about the health status of its community. A review of annual health statistics shows the following pattern of diseases.

1. What is the ratio of deaths from gastroenteritis to heart disease in the total population, and in the 0-9 and 70-79 age groups respectively? What do you notice? 
2. What proportion of total deaths in the community is due to respiratory disease? What is the proportion due to heart disease? 
3. What is the annual mortality rate in Mainland Tanzania for the total population, and for 20- 29 year olds and 80+ year olds respectively? What do you notice? 
4. What are the odds of dying for the 50-59-year-old age group? 

Question 3

1. What explanation can you offer for these urban-rural suicide differences? 
2. Does this information change your views on the reasons for urban-rural? If not, what explanation can you put forward for this finding within rural areas?
3. Why would an urban-rural suicide difference disappear with time?

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