Quantitative methods in business

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Aims and scope: 

This course aims to provide sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in actual business practice. Extensive use of business examples, cases, and hands-on exercises present the latest statistical data and business information with unwavering accuracy. Topics cater for the needs of future business decision-makers, including coverage of popular commercial statistical software programs like Excel 2013, along with leading statistical add-ins.


1. Hypothesis Tests. 2. Inference about Means and Proportions with Two Populations. 3. Inferences about Population Variances. 4. Comparing Multiple Proportions, Test of Independence and Goodness of Fit. 5. Experimental Design and Analysis of Variance. 6. Simple Linear Regression. 7. Multiple Regression. 8. Regression Analysis: Model Building. 9. Time Series Analysis and Forecasting. 10. Nonparametric Methods. 11. Statistical Methods for Quality Control. 12. Index Numbers. 13. Decision Analysis (online). 14. Sample Survey (online).

Indicative reading: 

Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2016). Statistics for business and economics. Nelson Education.

Teaching modules: