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ADVANCED STATISTICS

EIE3001 ADVANCED STATISTICS
3 Credits

Pre-requisite EIA1006 Statistics II

Learning At the end of this course, the students are able to:
Outcomes
1. use the probabilistic methods to evaluate the probabilities of numerical events;
2. use probabilistic models for making inferences about a population based on
information contained in a sample;
3. apply statistical theory in solving practical problems in the real world

Synopsis This course is designed to introduce the student to the theory of statistics. Topics
include the concept of random variables, joint, marginal and conditional probability
distributions, moments, moment-generating functions, distribution functions of
random variables, order statistics, methods of estimation and properties of an
estimator.

References 1. Wackerly D. D, Mendenhall W & Scheaffer, R. L. 2007. Mathematical Statistics
th
with Applications. (7 ed.) Duxbury.
2. Miller, I. & Miller M. 2003. John E. Freund’s Mathematical Statistics. (5 ed.)
th
Pearson.
3. Larsen, R. J. & Marx, M. L. 2010. An introduction to Mathematical Statistics
and Its Applications. (5 ed.) Pearson.
nd
4. Doane, D. P. & Seward, L. E. 2008. Applied Statistics in Business and
nd
Economics. (2 ed.). McGraw-Hill Higher Education.

Soft Skills CS1, CS2
CT5

Assessment Continuous Assessment : 40%
Final Examination : 60%

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