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Statistical Methods for Business Research


  • Credit value: 15 credits at Level 7
  • Convenor and tutor: Grace Peng
  • Assessment: final project (100%)

Module description

This is a hands-on module: we will be using the Stata program on real data every week, and assessment will be based entirely on your analysis of real data. The module is compulsory for MPhil and PhD students in the Department of Management. It is based on the application of essential of statistics through lecture-lab sessions and you will become more familiar with the theoretical framework (statistical and econometric theory) beyond the lecture-lab meetings. We will encourage (and, in the assessed work, require) good research practice in the use of Stata: every step you take in Stata should be documented - written down as an annotated (commented) Stata program (a 'do file' in Stata terminology).

Indicative module content

  • Application of principles of statistical inference and regressions
  • Practical experience of STATA
  • Documentation of statistical work for efficiency, collaboration and replicability

Learning objectives

By the end of this module, you will know how to use Stata for:

  • descriptive statistics
  • analysis of variance and correlation
  • simple ordinary least squares (OLS) regression
  • multiple OLS regression, regression using dummy variables, interaction terms
  • testing a model’s assumptions
  • presentation of results
  • reporting your work in the form of a simple program (a Stata 'do-file').