Quantitative Techniques


Course Outline

It is applied course in statistics that is designed to provide you with the concepts and methods of statistical analysis for decision making under uncertainties. This course is a combination of lectures and computer-based practice, joining theory firmly with practice. It introduces techniques for summarizing and presenting data, estimation, confidence intervals, hypothesis testing, modeling relationships and some multivariate techniques. The lectures focuses more on understanding of key concepts and statistical thinking, and less on formulas and calculations, which can now be done on statistical software.


Assignment 1

Assignment 2

Assignment 3

Assignment 4

Case Studies

Employee Database

Customer Database

breaks Database

Credit Cards

Comparing Groups

Bank Loan


Job Satisfaction


Employee Satisfaction Survey


  • David. S. Moore and George P. McCabe (2003), Basics of Practice Statistics, Freeman Publishers.
  • Landau, Sabine. (2004) “A handbook of statistical analyses using SPSS”, Chapman & Hall/CRC Press LLC
  • Vijay G. (2002), Statistical Analysis with Excel, VJ Books.
  • Wayne L. Winston (2007), Data Analysis and Business Modeling, Microsoft Press