For the Survey of 2007 Business Graduates specified on the previous page:
a
• What are the variables?
• Classify each variable as either Measured or Attribute, explaining the reason for you classification.
• What do you think the response variable is, and why do you think it is the response variable?
• What are the Explanatory Variables?
b
• What initial analysis do you think is appropriate for each variable?
• What operational steps are required to investigate any possible relationship between a measured response variable and a measured explanatory variable?
(Marks 20)
Q2. Using the data contained in the file ‘survey 2014.mtw’ investigate any possible relationship between:
a. ‘Salary at 1st April 2013’ and ‘Starting salary on first employment’
b. ‘Salary at 1st April 2013’ and ‘Number of job changes until 1st April 2013’
Giving a careful description of the methodology employed and a clear explanation of the final conclusion for each explanatory variable considered.
(Marks 30)
Q3. Explain what is meant by a statistical distribution. Hence discuss the underlying statistical ideas that enable the data analyst to investigate the connection between a measured response and an attribute explanatory variable with 2 levels?
(Marks 20)
Q4. Using the data contained in the ‘survey 2014.mtw’. Investigate any possible relationship between:
a. ‘Salary at 1st April 2013’ and ‘Gender’
b. ‘Salary at 1st April 2013’ and ‘Was your degree a sandwich course?’
Giving a careful description of the methodology employed and a clear explanation of the final conclusion for each explanatory variable considered.
(Marks 30)
Marking criteria:
In marking your work credit will be given for the correct use of methodology, to provide an appropriate analysis to support a reasoned business argument.
The answer should be presented in a concise word-processed document, possibly containing a statistical appendix providing this is properly cross-referenced.
All quotations should be fully referenced. Any references should be in Harvard style.
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