ASSIGNMENT
The project is a practical exercise in data analysis in a managerial context. It assumes that the various course materials have been studied and understood by you. 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 analytical questions concerning real-world data. Further details will be provided during lesson.
The purpose of this project is to allow you to show your ability to apply the theory and approaches developed in the course to formulation and solution of realistic problems amenable to attack by the techniques of Data Analysis. Thus, it facilitates students' development of particular cognitive skills and competencies, such as teamwork, problem analysis and solution using recognised techniques, applying spread sheet software to present data and implements statistical tests, interpreting solutions and reporting, and is aligned with the module learning outcomes (detailed in the module outline).
Effective written communication is very important in today's business world. Therefore, take time to discuss with your team on agreed expectation, mode of working/meetings, and analysis/preparation of the report.
In your report, you need to explain:
• the meaning of concepts, notation, etc.;
• all assumptions made regarding data and population parameters;
• the theoretical basis for tests;
• thinking behind your choices of probability distributions as models;
• your interpretation of the solution in the business context, including any conclusions/recommendations you would make to the decision maker.
In particular, include enough detail of workings in your reports (not in appendices) 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. You are also encouraged to research and explore statistical techniques beyond the syllabus of this module.
For this assignment, the key standards expected include:
• Understanding of key concepts and application of appropriate statistical analysis methods.
• Explanation and interpretation of statistical findings.
• Analysis and level of argument.
• Structure and presentation of the submission, graphs, writing style, etc.