Writing Statistical Assignment

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Experience Level: Expert
Assignment: Quantitative Methods

The Assignment must be typed and in a ‘Management Report’ style. Brief and relevant appendices may be attached to the report.

The assignment must be based on raw data you have collected personally or have obtained from some primary source. Make sure you briefly discuss the origin of your data set (when, where, how, and by whom was it collected). And include the raw data set as an appendix.

Include brief explanations of your analysis that would help a non-specialist manager. From the sample data:

1. Produce a summary of the most important characteristics of the data, using descriptive statistics and graphical representations. Provide brief comments on your findings.

2. Either:
a) make a number of inferences (at least three) about the relevant population. This will normally take the form of hypothesis testing. You are free to decide which statistical inferences you undertake, but certainly include a test that involves the One-way ANOVA procedure. For each test indicate any assumptions that are required to make your conclusions valid.

b) develop a regression model using two or more variables, explaining fully the selection process of the variables. Diagnose any problems associated with your model and indicate any assumptions that are required to make your conclusions valid.

Preparing the management report requires at least three things:

1. Run a relevant statistical software programme (SPSS).
2. Interpret and explain the computer output.
3. Highlight the main points with appropriate summary tables and diagnostic statistics from the computer output. Do not include irrelevant and unnecessary information in your report.

Word count

The length of the report should be no more than 2000 words excluding appendices.

Marking Criteria

Understanding of the task and use of appropriate data
Correct use of statistical theory
Interpretation of results/Diagnostics
Quality of presentation and language

Marking Criteria are shown in attached Table, but you should also include:

• A clear and logical document structure, emphasising business benefits
• A critical rather than descriptive stance
• Justification for statements made e.g. logical reasoning rather than unsupported statements, such as ‘this will be a good thing’
• Professional standards of presentation e.g. page numbering, spell checking, correct grammatical sentence construction, proof reading, clear list of references and neat page layout, with appropriate use of figures and tables. You should not use the first person in preparing the report.


Information Systems Evaluation: Reading List

(** = Strongly recommended)

DeLone, W. H., and McLean, E. R. (2003) The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of MIS. 19. 4. 9-30. **

Skok, W., and Kalmanovitch, C. (2005) Evaluating the Role and Effectiveness of an Intranet in facilitating Knowledge Management. Information & Management. 42. 5. 731-744.

Skok, W., and Legge, M. (2002) Evaluating Enterprise Resource Planning (ERP) Systems using an Interpretive Approach. Knowledge and Process Management. 9. 2. 72-82.

Skok, W., Kophamel, A., and Richardson, I. (2001) Diagnosing Information Systems Success: Importance-Performance Maps in the Health Club Industry. Information and Management. 38. 7. 409-419.

Ward, J., and Daniel, E. (2006) Benefits Management: Delivering Value from IS and IT Investments. Wiley. Chichester. **

Willcocks, L. P., and Lester, S. (eds) (1999) Beyond the IT Productivity Paradox. Wiley. Chichester **

Web sites

[See: ‘Research’]

[See: Microsoft REJ (Rapid Economic Justification)].

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