| Write a report that presents a collection of statements, each supported by a clear rationale, and an appropriate analysis of the relevant student survey data that is then used to either confirm or reject each statement. You should then draw conclusions and, if appropriate, suggest recommendations for each statement based on your results. There is not a fixed number of statements that you should investigate. You are only limited by the maximum word length for the report. A good report will include a variety of statistical analyses and thus you should try to avoid using multiple statements that require the same type of analysis to be applied. The data is presented in SurveyResponses1920.xlsx. Produce Web pages that present three of your statements, rationales, analyses and conclusions/recommendations from your report. The Web pages should be written using valid HTML and CSS and should include an introduction page that has links to the pages that present the three statements with their rationales, analyses and conclusions/recommendations. The Web pages must be uploaded to your space on kunet. You must submit a single Word document using the digital dropbox by 9:00 on Friday, 6 March 2020. The document should include: the report which should be no longer than 3000 words in length (excluding appendices).The report should include the URL of the first page of your Web pages; |
Assignment Briefing
| Module Name | Business Information Analysis |
| Module Code | BB4401 |
| Assignment Title | Statistical Analysis |
| Type of Submission | Individual Report and Web Pages |
| Weighting of the assignment in the overall module grade | 50% |
| Word Count/Time allocation (for presentations) | 3000 words (excluding HTML code) |
| Issue Date | |
| Submission Date | |
| Date of Feedback to Students | |
| Where feedback can be found | In the “Comments” box on Turnitin including a breakdown of the allocation of marks. |
| • the HTML and CSS code for the Web pages which should be presented in the appendices. The report must include: a title page.• a contents page.• an introduction that introduces the content of the report and its structure. (Note that this should be written once the other sections of the report have been completed.)• a statements section which includes a collection of subsections each of which focuses on one of the statements. This section should be presented as follows: 2. Statements2.1 …Put you first statement here…2.1.1 Rationale2.1.2 Analysis2.1.3 Conclusions/Recommendations2.2 …Put your second statement here…2.2.1 Rationale2.2.2 Analysis2.2.3 Conclusions / Recommendations…• a collection of appropriate charts. These must be correctly referenced and titled and be presented within the margins of the text.• appendices which include the HTML and CSS code for your Web pages. | |
| In developing the report you should make use of Excel and its functionality, and appropriate descriptive statistics. Your analyses should be well thought through, with a clear explanation of:• why you have undertaken a particular analysis• the conclusion(s) you may draw from its results You are encouraged to write clear statements some of which may require the analysis of single data sets such as the age of students and others that highlight differences between various categories of data such as the proportion of students of different ages intending to do a placement. Here are some example statements:• Financial Accounting is the most popular module• Students who live in halls of residence attend the university more frequently than those who don’t live in halls of residence For each statement you should:• provide a clear rationale for its inclusion in the report. That is, describe why you believe it to be true before undertaking the analysis and why it is useful information to know apply the appropriate descriptive statistics• report on the results• confirm or reject the statement based on the results of the analysis derive relevant conclusions and recommendations from the analysis. You are encouraged to develop new statements based on the analysis and conclusions of an existing statement. For example, in analysing the statement Students who live in halls of residence attend the university more frequently than those who don’t live in halls of residence you may discover that the distance from the university is an additional factor. This may lead to an analysis based on the following statement Students who live in halls of residence at Kingston Hill attend the university more frequently than those who don’t live in halls of residence at Kingston Hill. |
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