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â—„Faculty of Economics and Administrationâ–ş
ESGC6123 STATISTICAL DATA ANALYSIS
Learning Outcomes At the end of the course, students are able to:
(1) Analyse quantitatively the structure in a set of data;
(2) Apply the appropriate statistical techniques given the
aim of analysis;
(3) Analyze a set of data using appropriate statistical
techniques;
(4) Evaluate objectively the results arising from the
application of these techniques to data in various
fields; and
(5) Communicate these findings effectively.
Synopsis of Course This course exposes students to the analysis of univariate
Contents and multivariate data. Students learn to examine variation
in data; assess the need for transformation; evaluate
patterns; summarize the information; and apply various
statistical techniques of analysis. Statistical software is
used to teach the application of regression analysis,
discriminant analysis, principal components analysis, factor
analysis and cluster analysis to data from various fields.
Assessment Continuous Assessment: 50%
Final Examination: 50%
Main Reference (1) Hair, J.F, Anderson, R.E., Tatham, R.L. & Black, W.C.
(1995): Multivariate data Analysis with Readings, 4
th
Edt., Prentice Hall.
(2) Hair, Black, Babin, Anderson, Tatham (2006):
th
Multivariate data Analysis, 6 Edt., Prentice Hall.
(3) Klienbaum, D.G., Kupper, L.L. and Muller, K.E. (1988):
Applied Regression Analysis and Other Multivariate
Methods. Boston: PWS-Kent.
(4) Berenson, M.L & Levine, D.M.: (2006): International
Edition Basic Business Statistics, Concepts &
th
Applications,10 Edt., Prentice Hall.
ESGC6113 COMPUTER INFORMATION SYSTEMS
Learning Outcomes At the end of the course, students are able to:
(1) Analyse developmental and managerial issues in
computer hardware, software, telecommunication
networks and data resource management
technologies;
(2) Relate the use of the Internet, intranets, extranets and
other information technologies in e-business;
(3) Develop and implement e-business strategies and
systems using several strategic planning and
application development approaches; and
(4) Communicate the findings effectively.
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