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STATISTICS II

EIA1006 STATISTICS II
3 Credits

Pre-requisite EIA1005 Statistics I

Learning At the end of this course, the students are able to:
Outcomes
1. explain basic concepts of statistical inference;
2. apply statistical inference in various fields; and
3. evaluate the results of statistical inference.

Synopsis The first part of the course introduces the continuous probability and sampling
distributions which form the basic knowledge of statistical inference. The second
part focuses on statistical inference such as estimation and hypothesis testing.
The third part covers various non-parametric statistics.

References 1. Levine, D.M., Stephan, D., Krehbiel, T.C., and Berenson, M.L. (2011).
th
Statistics for Managers Using Microsoft Excel, 6 Edition, Prentice Hall,
Singapore
2. Keller, G. (2009). Statistics For Management and Economics, 8 th Edition,
South-Western, Cengage Learning.
3. Liaw, S.H. and Goh K.L. (2002). Statistik Asas: Konsep dan Amalan. McGraw
– Hill.
4. Lind, D. A., Marchal, W. G., and Wathen, S. A. (2005). Statistical Techniques
th
in Business and Economics, 12 Edition, McGraw – Hill.
th
5. Aczel, A. D., and Sounderpandian, J. (2005).Complete Business Statistics, 6
Edition, Mcgraw – Hill.

Soft Skills CS1, CS2, CS3
CT5

Assessment Continuous Assessment : 40%
Final Examination : 60%

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