MIS3008S Data Analysis for Decision Making
Data Analysis Report: Continuous Assessment (CA) component, 40%
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This is a teamwork piece of assessment which requires each team to submit a Data Analysis Report using the Descriptive Statistics concepts covered in the course. This piece of assessment requires you to demonstrate your understanding of descriptive statistics as well as your abilities to analyse and interpret data. For this assignment, the rationale is to apply the techniques of the module to more complex and realistic examples than are dealt with in the lecture sessions. You are required to prepare a report which examines, analyses, models and solves a number of practical business data analysis problems and presents and visualises the outcomes in an appropriate effective way. The problems being addressed should form a coherent theme. Each team must have a minimum of two participants and a maximum of three participants. All students in the assignment team must engage in the exercise.
Presentation is very important: include an executive summary for the decision-maker (see below). Explain your work, including:
• the thinking and assumptions behind your approach and model;
• the meaning of variables, notation, etc.;
• your interpretation of the solution in the business context, including any conclusions/recommendations you would make to the decision maker.
In particular, include any Excel or other spreadsheet used and enough detail of workings to verify your understanding of the technique(s) used. If you explain your thinking, you will be given credit for any good ideas you had, even if you have made a mistake somewhere in the formulation of the ideas.
Sources of data to use
Use freely and publicly available secondary data (i.e., data that have been already collected by other agencies, not involving humans, and that these agencies allow you to use – so always check the terms of use). You are not allowed to collect data yourself: this is not advisable for an assignment and, most importantly, you will need ethical approval from the University. Hence, just look for reliable secondary data sources. Good reports are published by government agencies where there should be a sufficient amount of data in the public domain: this shall constitute a good basis for a report. Examples include the Singapore Department of Statistics (DOS) (https://www.singstat.gov.sg), the website of the Central Statistics Office of Ireland (https://www.cso.ie/en/), the website of the Office for National Statistics in the UK (https://www.ons.gov.uk/) and the European Statistics website (https://ec.europa.eu/eurostat).
Topics to consider
Select data on a topic that you find interesting (researching and writing on something you like is usually easier). However, it must be related to business, economics or society (in a broader sense). Moreover, the topic must be focused (e.g., macroeconomic themes, such as those related to GDP, are too broad). Examples of good topics are those investigating crime (e.g., types of crime across different zones of a city), the environment (e.g., CO2 emissions), tourism (e.g., Brexit and travelling), Covid-19 and similar. You will need at least two numerical attributes for each data item, so that you can carry out correlation analysis, as well as investigation of measures of centrality and variation.
Structure of the report
The report must have an accurate title and include at least the following sections:
· Abstract/Executive Summary: a short summary (approximately 250-300 words) of the contents of the report (e.g., topic, analyses carried out, main findings)
· Introduction: background details on the topic (why this topic, what is its relevance?) and on the data
· Statistical analysis: this is the most important section of the report and must include at least one application of a histogram (along with its analysis and interpretation). You are expected to find descriptive statistics measures and use graphical tools (such as boxplots). Moreover, you must choose two numerical variables and carry out correlation analysis on them. Round your answers to 2 or 4 decimal places, as appropriate.
· Conclusions: summary of the findings and their significance (you may also give recommendations)
· References: at least one reference must be present: your data source. Extensive reading into the topic will be rewarded with a higher mark
Use a font size of between 10 and 12 points, and appropriate page margins of between 2.5 and 3.5cm.
Other considerations for your work:
· Tools: you may use Excel for statistical measures, or open-source formats such as Open Office. Do not use cloud-based tools such as Google Sheets, as we cannot verify that these did not change since the submission date and so cannot give marks for them.
· Word limit: The length of your submission must not exceed 3000 words and may be less. Exceeding this limit may result in a grade penalty. Computer output must be included: it and any figures you produce should be put in an appendix; this appendix and the cover page(s) do not count towards the word limit. Any Excel workings must be uploaded as an Excel Workbook file.
· Report submission: electronic submission on Brightspace by the due date. You must submit two files: the report (either in PDF or .docx format) and the corresponding spreadsheet (in .xlsx format or open-source formats). Zip files cannot be accepted and will be graded 0. Only one member of the team must submit both report and spreadsheet. The report must contain an assignment cover sheet giving title of this module (MIS3008S – Data Analysis for Decision Makers) and the full name and student number of each member of the team. In addition, each team member must submit a signed plagiarism declaration and an individual paper recording his/her contribution to the group project. These individual papers should also include reflections and experiences of working on the project within the group context. Reflections should include such elements as how the project contributed to the student’s overall learning on the module, how the group worked together, limitations within the activity, etc. Include these individual papers as appendices to the submitted document: these appendices do not count towards the word limit. If any dispute arises on your contribution to the group work, the cover sheet and individual papers will be used as evidence of contribution. All team members are assumed to have read with and agree with all content in the report before signing and submitting it. You should also complete the Team Agreement Form which can be found in the Orientation folder on the Programme Area on Brightspace. You must also enter the full name and student number of each team member on the Brightspace page where you upload the report.
Plagiarism policy
Students are reminded of the University’s policies on plagiarism: this applies to this assessment. You shall produce your own piece of work and be careful with referencing and in-text citations. Plagiarism and any subversion of the assessment process can lead to severe penalties up to and including expulsion from the University. Further details are available:
http://www.ucd.ie/governance/resources/policypage-plagiarismpolicy/
Grading criteria
The report will be graded according to three main macro-criteria:
· Reading and topic appreciation (20%): this measures the knowledge of the topic you have chosen to investigate
· Analysis and discussion (60%): this measures your understanding of descriptive statistics as well as your ability to analyse and interpret data
· Presentation and structure (20%): this measures the effort you put into providing a “neat” report (i.e., clearly titled sections; graphs and tables numbered, and captioned); good level of English (i.e., checked for spelling, typographical and grammatical errors); correct referencing (adhere to Harvard style: https://libguides.ucd.ie/academicintegrity/harvardstyle) and standard of Excel or other spreadsheet (i.e., clear and well-organised with questions correctly labelled).
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