DSC 410/510 - Multivariate Statistical Methods
Project 2
Task
Either individually or in a group of up to four, obtain
some data suitable for analysis using one of the following
multivariate techniques (your choice):
Cluster Analysis
Discriminant Analysis
Logistic Regression
Multidimensional Scaling
Correspondence Analysis
The data can come from anywhere: from a job you have (had), published
in a journal or on the Internet, collected from a sample survey, even
results from the first project. You can look at previous year's
projects to get some ideas for a topic and also to see the data
sources people have used previously. Use SAS to carry out your
analysis and write up your study as a report recommending a certain
course of action.
Due date
Tuesday December 7 at 8:00am.
Grading
Each project will be graded taking into account the following
criteria:
Technique: Have you used appropriate statistical
techniques and checked assumptions underlying inferences?
Clarity: Have you explained clearly and concisely what
you have done and why, and what your conclusions are?
Focus: Have you met the goals of the project fully and
without superfluous analyses or discussion?
Overall presentation: Is the report presented neatly and
in a professional manner?
Projects done in groups will be held to a higher standard than those
done individually.
A suggested layout for the report (which must be typed using
a computer, not handwritten) is as follows:
Introduction: Briefly state the goals of your analysis and
the data used.
Analysis: Describe the statistical techniques applied and
the assumptions underlying any inferences.
Results: Summarize the results of the analysis, including
any relevant plots.
Conclusions: Describe how the results accomplish the
goals of the analysis.
Length: Your report must be no more than 8 pages (using
a font size no smaller than 10-point). Anything beyond 8 pages will
be ignored in grading. You may include a cover-page and an
appendix that are not included in the page limit, but make sure that
all the important material goes in the main body of the report.
© 2004, Iain Pardoe, Lundquist College of Business,
University of Oregon
Last updated November 11, 2004