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◄Faculty of Economics and Administration►

COURSE PRO FORMA

ESGC6120 STATISTICAL METHODS
Learning Outcomes At the end of the course, students are able to:

(1) Apply the concepts of probability and inferential
statistics;
(2) Relate sampling distributions to estimation and
hypothesis testing;
(3) Formulate hypothesis tests;
(4) Apply appropriate statistical techniques for solving
problems, drawing inference and making decisions in
business, economics, finance and social science; and
(5) Communicate the findings effectively.

Synopsis of Course The course deals with the fundamentals of statistics with
Contents emphasis on applications in business, economics, finance
and social science. The course begins with the concepts of
probability, and this is followed by distributions of random
variables, including joint, marginal and conditional
distributions. Statistical distributions common for applications
are discussed, leading into the introduction of sampling
distributions. These topics are taught to set the foundation for
inferential statistics. Attention is devoted to the conceptual
and quantitative tools in the topics of estimation and
hypothesis testing, including non-parametric methods.
Assessment Continuous Assessment: 50%
Final Examination: 50%
Main Reference (1) D.D. Wackerly, W. Mendenhall, R.L. Scheaffer.
`Mathematical statistics with Applications', 6 ed.
th
Duxbury, 2002.
(2) W.L. Carlson and B Thorne. ‘Applied Statistical Methods
for Business, Economics and the Social Sciences,
Prentice Hall, 1997.

ESGC6121 SURVEY TECHNIQUES AND SAMPLING DESIGN
Learning Outcomes At the end of the course, students are able to:

(1) Apply different sampling designs and data collection
methods;
(2) Design appropriate sampling schemes;
(3) Plan and operationalize a survey;
(4) Analyze survey data and draw conclusion; and
(5) Communicate the survey findings effectively.
Synopsis of Course The first part of the course deals with various aspects of
Contents conducting a survey, including research design,
questionnaire design, interviewer training; and data
collection, processing and analysis.

The second part covers various sampling techniques,
determination of sample size, sample selection and

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