5123COMP - NHS Patients Case Study - Statistical Modelling - Statistics Assignment Help

Assignment Task

Learning Outcome to be assessed - 2 Apply appropriate statistical theory and derive meaningful solutions in a suitable programming language

Detail of the task

Discuss how to ensure that statistical analysis is undertaken in a thorough manner.

Discuss what k-means cluster analysis involves and how it works        

Discuss what criteria might be used for including variables in a k-means cluster analysis                        
Discuss why an organisation might typically wish to use cluster analysis                                
Outline how you would use k-means cluster analysis for the patient data analysis                        
Present the results of your k-means cluster analysis of the patient data using SPSS                 
Discuss how you could interpret the results of your k-means cluster analysis in healthcare terms for the researchers involved in the study            

Case Study Scenario

A set of NHS patients have agreed to take part in a new diet programme. The data relating to the patients that is available includes:

Body Mass Index (BMI)
(A BMI of less than 18.5 is considered underweight, a BMI of 18.5 to 24.9 is considered a healthy weight, a BMI of 25 to 29.9 is considered overweight, and a BMI of 30 or more is considered obese)
 
Age (the age of the patients ranges between 18 and 57)
 
Gender (Male / Female)

Alcohol consumption level (units per week)
(0 to 14 units per week is considered a low risk level of alcohol consumption, more than 14 units of alcohol per week is considered a higher risk level of alcohol consumption)
 
Use k-means cluster analysis to identify the different groups within the set of patients.

What you should hand in - Neatly produced word processed report as described in attached sheets to be submitted via the assignment handler in CANVAS for this module.
 

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