Referencing Styles : Oxford This is an individual assignment, which requires you to analyse a given data set, interpret and draw conclusions from your analysis, and then convey your conclusions in a written report to a person with little or no knowledge of Business Analytics. Percentage of final grade 40% Due date Monday 25th May 2015 11.59pm The assignment must be submitted by the due date electronically in CloudDeakin. When submitting electronically, you must check that you have submitted the work correctly by following the instructions provided in CloudDeakin. Please note that we will NOT accept any hard copies or part of the assignment submitted after the deadline or via Email. No extensions will be considered unless a written request is submitted and negotiated with Dr Ali Tamaddoni prior to Friday 22nd May 2015, 5pm. Please note that assignment extensions will only be considered if you attach your draft assignment with your request for an extension. The assignment uses the file HyperStar2.xlsx which can be downloaded from CloudDeakin. Analysis of the data requires the use of techniques predominately studied in Module 2 (but will also require a degree of knowledge from Module 1). Descriptive Analytics and Visualisation Assignment two – Trimester 1, 2015 Page 2 Assurance of Learning This assignment assesses following Graduate Learning Outcomes and related Unit Learning Outcomes: Graduate Learning Outcome (GLO) Unit Learning Outcome (ULO) GLO1: Discipline-specific knowledge and capabilities: appropriate to the level of study related to a discipline or profession. GLO5: Problem Solving: creating solutions to authentic (real world and ill define) problems. ULO1: Create solutions by applying data analysis and statistical techniques and skills to practical business, economic and personal decision-making and research. ULO2: Use computer software to analyse data and understand the limitations of such software. ULO3: Deduce clear and unambiguous solutions in a form that they useful for decision making and research purposes and for communication to the wider public. ULO4: Appraise the accuracy, sources and relevance of statistical data and models. ULO5: Create and appraise solutions, reports and arguments based on statistical data and models.

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