Statistical Methods in OR: Descriptive Stats, Sampling & Regression                            

This course offers a set of frameworks and methods based on behavioural science to support Operational Research (OR) Practice. The course can be useful for developing behavioural OR models, understanding behavioural issues with the implementation of OR models and the behavioural aspects of interventions.         

Description

  • Enhance your analytical skills using sampling and regression statistical techniques. 
  • Improve your data analysis with a better understanding of how to interpret the results of applying statistics to ‘real world’ data. 
  • Increase your confidence in using the Normal Distribution to describe a dataset, and to interpret sample results. 
  • Build your knowledge towards more advanced statistical methods. 
  • Understand when and how to utilise these techniques with other analytical methods such as forecasting and simulation.

Learning objectives

  • Apply the Normal Distribution to ‘real world’ problem situations and interpret the results. 
  • Describe some of the key characteristics of a dataset that may affect the results. 
  • Apply correlation and regression analysis to ‘real world’ problem situations and interpret the results. 
  • Address common questions that arise in practice when working with sample data. 
  • Understand the assumptions behind basic sampling theory. 
  • Learn when to use these different statistical techniques.

Topics

  • Normal Distribution sampling 
  • Correlation analysis 
  • Regression analysis

Audience

Ideal for anyone starting their career in operational research or wanting to improve their confidence in working with statistics.

Course format

  • PowerPoint presentation to introduce the topics including illustrative examples from different sectors
  • Case studies based on ‘real world’ problems
  • Use the analysis tool pack in Excel to apply the techniques
  • Group discussion/work to explore the topics in more detail
  • Bring questions from your own work to embed your learning
  • Supporting resource pack available to use following the course

Related courses

  • Statistical Methods in OR: Multivariate Models 
  • Statistical Methods in OR: Forecasting 
  • Simulation Techniques for Decision Making in OR

Want to run this course in-house? Enquire about running this course in-house

Meet the tutor

Maureen Meadows

Maureen Meadows is Professor of Strategic Management in the Centre for Business in Society at Coventry University. Her prior posts include: a senior lectureship and Head of Department at the Department for Strategy and Marketing at the Open University Business School; a lectureship in Operational Research at Warwick Business School; and roles in operational research and marketing strategy (including market segmentation and delivery strategy) at National Westminster Bank. She holds a B. A. (Hons) in Mathematics from the University of Oxford, an MSc Management Science and Operational Research (Distinction) from the University of Warwick and a PhD from the Open University Business School. Her research interests include market segmentation and relationship marketing in the personal financial services sector, and the use of methods and tools such as visioning and scenario planning to support strategy development.

Maureen is a member of the Fellows College and the Peer Review College of the British Academy of Management