The metropolitan rail network in Melbourne is seeking to improve quality of service. To this end they have conducted an initial demographic analysis of its frequent customers. Upon applying Roy Morgan value segments™ on to their analysis findings, the following direct demographic mappings were uncovered. Rail line Value segment Northern suburbs Socially aware and Look at me Eastern suburbs Visible achievement South Eastern suburbs Conventional and Traditional family life Southern suburbs Real conservatism Western suburbs Young optimism and Fairer deal As the next phase of the project, they want to understand service expectations of this diverse clientele from different parts of Melbourne. You have been consulted to develop a data collection methodology for this phase. Task 02 Task 02 is an in-depth review of descriptive analytics techniques covered/mentioned in class. You are required to develop a taxonomy for descriptive analytics techniques, describing for each technique its purpose, functionality, assumptions, method of validation and sample use case. The sample use case must be from a business analytics scenario. An example is shown below. Technique: the mean Purpose: determine the mid-point or central tendency of a given set of numbers Functionality: sum up all given numbers and divide by the count of numbers Assumptions: the set of numbers are normally distributed Method of validation: Calculate the mean of another sample, plot the numbers in a histogram to check for normal distribution Sample use case: find the mean service time for customers in a retail bank teller queue. Present the high-level taxonomy in an intuitive and instructive manner. This may be a matrix, tree or other form of graph. You are free to use any of the tools covered in class, but this is not mandatory .