MIS771 Descriptive Analytics and Visualisations Page 1 of 8 MIS771 Descriptive Analytics and Visualisation DEPARTMENT OF INFORMATION SYSTEMS AND BUSINESS ANALYTICS DEAKIN BUSINESS SCHOOL FACULTY OF...

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MIS771 Descriptive Analytics and Visualisations Page 1 of 8 MIS771 Descriptive Analytics and Visualisation DEPARTMENT OF INFORMATION SYSTEMS AND BUSINESS ANALYTICS DEAKIN BUSINESS SCHOOL FACULTY OF BUSINESS AND LAW, DEAKIN UNIVERSITY Assignment One Background This is an individual assignment. You need to analyse a given data set, and then interpret and draw conclusions from your analysis. You then need to convey your conclusions in a written report to a Business professional with very little or no knowledge of Business Analytics. Percentage of the final grade 30% The Due Date and Time 8pm Thursday 20th August 2020 Submission instructions 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 paper or email copies, or part of the assignment submitted after the deadline. Information for students seeking an extension BEFORE the due date If you wish to seek an extension for this assignment prior to the due date, you need to apply directly to the Unit Chair by completing the Assignment and Online Test Extension Application Form (PDF, 188.6KB). Please make sure you attach all supporting documentation and a draft of your assignment. This needs to occur as soon as you become aware that you will have difficulty in meeting the due date. Please note: Unit Chairs can only grant extensions up to two weeks beyond the original due date. If you require more than two weeks, or have already been provided an extension by the Unit Chair and require additional time, you must apply for Special Consideration via StudentConnect within 3 business days of the due date. Conditions under which an extension will normally be considered include: • Medical – to cover medical conditions of a serious nature, e.g. hospitalisation, serious injury or chronic illness. Note: temporary minor ailments such as headaches, colds and minor gastric upsets are not serious medical conditions and are unlikely to be accepted. However, serious cases of these may be considered. • Compassionate – e.g. death of a close family member, significant family and relationship problems. • Hardship/Trauma – e.g. sudden loss or gain of employment, severe disruption to domestic arrangements, victim of crime. Note: misreading the due date, assignment anxiety or returning home will not be accepted as grounds for consideration. https://www.deakin.edu.au/__data/assets/pdf_file/0006/2055552/BL_AssignmentExtensionForm_Feb2020.pdf MIS771 Descriptive Analytics and Visualisations Page 2 of 8 Information for students seeking an extension AFTER the due date If the due date has passed, you require more than two weeks extension, or you have already been provided with an extension and require additional time, you must apply for Special Consideration via StudentConnect. Please be aware that applications are governed by University procedures and must be submitted within three business days of the due date or extension due date. Please be aware that in most instances the maximum amount of time that can be granted for an assignment extension is three weeks after the due date, as Unit Chairs are required to have all assignment submitted before results/feedback can be released back to students. Penalties for late submission The following marking penalties will apply if you submit an assessment task after the due date without an approved extension: • 5% will be deducted from available marks for each day, or part thereof, up to five days. • Work that is submitted more than five days after the due date will not be marked; you will receive 0% for the task. Note: 'Day' means calendar day. The Unit Chair may refuse to accept a late submission where it is unreasonable or impracticable to assess the task after the due date. Additional information: For advice regarding academic misconduct, special consideration, extensions, and assessment feedback, please refer to the document “Rights and responsibilities as a student” in the “Unit Guide and Information” folder under the “Content” section in the MIS771 CloudDeakin site. The assignment uses the dataset file Insurance.xlsx, which can be downloaded from CloudDeakin. Analysis of the data requires the use of techniques studied in Module-1. Assurance of Learning This assignment assesses the 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. GLO2: Communication - using oral, written and interpersonal communication to inform, motivate and effect change GLO5: Problem Solving - creating solutions to authentic (real world and ill-defined) problems. GLO6: Self-Management - working and learning independently, and taking responsibility for personal actions ULO 1: Apply quantitative reasoning skills to solve complex problems. ULO 2: Plan, monitor, and evaluate own learning as a data analyst. ULO 3: Deduce clear and unambiguous solutions in a form that they useful for decision making and research purposes and for communication to the wider public. Feedback before submission You can seek assistance from the teaching staff to ascertain whether the assignment conforms to submission guidelines. Feedback after submission An overall mark together with feedback, will be released via CloudDeakin, usually within 15 working days. You are expected to refer and compare your answers to the feedback to understand any areas of improvement. MIS771 Descriptive Analytics and Visualisations Page 3 of 8 The Case Study The United States has one of the highest healthcare costs in the world, spending trillions of dollars on healthcare, which typically exceeds $10,000 per individual. Studies report that healthcare costs have gone up from 5% of gross domestic product (GDP) to 18% during the period 1960 to 2018. Moreover, a number of articles have suggested that predisposing personal characteristics, such as income, age, state, job etc. could possibly be related to the cost of health services. “The Americans dying because they can't afford medical care - A December 2019 poll conducted by Gallup found 25% of Americans say they or a family member have delayed medical treatment for a serious illness due to the costs of care.” Illustration: Mikyung Lee/The Guardian 2018-02-21 “Millions of Americans – as many as 25% of the population – are delaying getting medical help because of skyrocketing costs” Michael Sainato Tue 7 Jan 2020 20.00 AEDT Last modified on Wed 8 Jan 2020 22.13 AEDT “Young people, who are expected to benefit from lower premiums should the GOP repeal-and-replace efforts succeed, already pay the least. But even their costs can be considerable, depending on where they live. In 2016, the financial data site ValuePenguin found that the average costs for coverage for a 21-year-old go from $180 a month in Utah, plus a $2,160 deductible (potentially $4,320 a year, total), to $426 a month in Alaska, with a $5,112 deductible (potentially $10,224 a year, total).” Published Fri, Jun 23 201710:52 AM EDT Updated Mon, Oct 14 2019 11:55 AM EDT “Average annual costs per person hit $10,345 in 2016. In 1960, the average cost per person was only $146 — and, adjusting for inflation, that means costs are nine times higher now than they were then.” Published Fri, Jun 23 201710:52 AM EDT Updated Mon, Oct 14 201911:55 AM EDT “Americans pay a lot for healthcare. Depending on where they live, typical workers shelled out between $4,500 and $8,300 for healthcare in 2017. But the US government pays even more.” Tanza Loudenback Mar 8, 2019, 12:25 AM The UnitedHealth Group: America’s most prominent health insurance provider aims to identify the characteristics of the population to improve their understanding of the potential influence of these characteristics on their high medical costs billed by an insurance provider. They have access to a sample of US Health Insurance data containing 1338 insured personnel with their Age, Sex, Body Mass Index, Number of Children, Smoking status, Region and Insurance charges. You are a Data Analyst working for UnitedHealth Group. Your Manager – Edmond Kendrick has asked you to conduct a preliminary analysis. In particular, you are expected to apply a series of statistical techniques and produce a report based on your findings. Edmond’s email is reproduced on the next page. https://www.theguardian.com/us-news/2020/jan/07/americans-healthcare-medical-costs#img-1 https://www.theguardian.com/us-news/2020/jan/07/americans-healthcare-medical-costs#img-1 https://www.theguardian.com/us-news/2020/jan/07/americans-healthcare-medical-costs#img-1 https://www.theguardian.com/us-news/2020/jan/07/americans-healthcare-medical-costs#img-1 https://www.theguardian.com/us-news/2020/jan/07/americans-healthcare-medical-costs#img-1 https://www.theguardian.com/us-news/2020/jan/07/americans-healthcare-medical-costs#img-1 MIS771 Descriptive Analytics and Visualisations Page 4 of 8 Email from Edmond Kendrick To: > From: Edmond Kendrick Subject: Analysis of US Health Insurance data Hi, As per our conversation, I have spoken with our reporting team and we have following questions relating to the US health insurance data. Please complete the following analysis for me. Your responses will assist them in writing the feature section of our next issue. 1. Provide your insights on how the specific attributes of the whole insured population is affecting their insurance premiums based upon our sample data: (a) An estimate of the difference in medical costs for a female versus a male (b) An estimate of the difference in medical costs for a single person versus someone with a family (c) Males with no dependents have claimed that they have, on average, been charged more than their female counterparts. Can you check whether this claim is possibly true? (d) We would also like to know if there is gender bias in smoking behaviours. Specifically, is there a greater proportion of males who are smokers compared to females? Can you check whether this claim can also be substantiated? Briefly advise the findings in regard to the proportion of males and females who are smokers. 2. Can you further analyse to see whether the beneficiary's residential area/region in the US affect how health insurance provider bill their medical costs? 3. We believe that individual medical costs billed by health insurance differs significantly across age group of primary beneficiary (young adults: 18 to 35 years; middle age: 36 to 55 years; and older adulthood:
Aug 03, 2021MIS771Deakin University
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