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1. Decide upon the issue you wish to research. It may be related to business or the social sciences (i.e. the changes in unemployment statistics over time, the fluctuations in GDP in developing countries, exam success rates in single sex schools compared to mixed schools, etc.) Anything But don’t talk about the price inflation of coal and oil in the USA.
2. You are required to collect some secondary data, from academic journals, relating to your subject area. (You must include a copy of the data you use in your appendices.) The data you select is up to you, but you must collect sufficient data to allow you to research your subject in enough depth.
3. Use a range of appropriate statistical techniques to display and process this data. (i.e. scatter diagrams, histograms, pie charts, cumulative frequency curves, measures of average, etc.). This must be done through Microsoft Excel or another similar software package.
4. Analyse what your data shows, and wherever possible, consider the impact of any extraneous variables. You may also wish to consider any criticisms of the data you have used at this point.
5. Consider if you could make any improvements to your method of data collection.
6. Based upon your ideas in part 5 design your own primary data collection sheet.
7. Explain why you think your method of collection would improve the quality of the data.
Marking Criteria – Marks for this research project are awarded according to the following criteria:
a) the extent to which your calculations, presentation of data, and your writing, are accurate
b) the quality and depth of critical analysis (not just description!)
c) the extent to which the work is coherently structured.
d) the accurate referencing of the texts and data sources used in your analysis.
e) You must ensure that all assignments you submit are your own work. Any ideas
or theories based on the work of other writers must be fully acknowledged and
correctly referenced both within the text and the bibliography. It is unacceptable to quote major sections of text, even if this has been fully referenced.
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