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Module Catalogue

IB9BA-15 Quantitative Methods for Business

Department
Warwick Business School
Level
Taught Postgraduate Level
Module leader
Jerker Denrell
Credit value
15
Module duration
9 weeks
Assessment
20% coursework, 80% exam
Study location
University of Warwick main campus, Coventry

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Introductory description

This module will enable you to better understand and use quantitative methods in business practice.

Module web page

Module aims

To provide an introduction to quantitative methods to students from non-numerical backgrounds. The module will equip students with an understanding of descriptive statistics and data presentation and enable them to apply the major tools needed for MSc level study and for the use of data analysis in the workplace.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Data presentation and description
Probability and frequency distributions
Theory of sampling; Central limit theorem
Confidence intervals; z tests; t-tests
The correlation coefficient
Simple and Multiple regression
Interactions in regression
Non-parametric statistics
Logistic regression

Learning outcomes

By the end of the module, students should be able to:

  • Demonstrate the ability to think quantitatively about data and determine what data can tell us, and what it cannot.
  • Describe a data set in a way that highlights what is important, by drawing the client directly to relevant comparisons.
  • Choose which statistical method is most appropriate for each kind of data, and each kind of research question

Indicative reading list

Wisniewski, M. (2009). Quantitative methods for decision makers. FT Prentice Hall. (Background)
Judd, C. M., & McClelland, G. H. (1989). Data analysis: A model comparison approach. San Diego, CA: Harcourt, Brace, Jovanovich.
Pampel, F. C. (2000). Logistic Regression: A primer. Sage.

Subject specific skills

Conduct basic inferential statistical tests, such as t-tests and Chi-square tests.
Conduct and interpret a multiple regression analysis.
Conduct and interpret a logistic regression analysis.

Transferable skills

Develop facility with spreadsheets and statistical analysis packages.

Study time

Type Required
Lectures 9 sessions of 1 hour (6%)
Practical classes 9 sessions of 2 hours (12%)
Private study 51 hours (34%)
Assessment 72 hours (48%)
Total 150 hours

Private study description

Pre-reading, extra reading, preparing for assessment and group working (as determined by the module leader)

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group D5
Weighting Study time Eligible for self-certification
End of Term Test 20% 14 hours No
In-person Examination 80% 58 hours No
  • Answers provided on Question Paper. No Answerbook required
  • Students may use a calculator
Feedback on assessment

Feedback via My.WBS

Past exam papers for IB9BA

Courses

This module is Core for:

  • Year 1 of TIBS-N120 Postgraduate International Business
  • Year 1 of TIBS-N1C2 Postgraduate Taught Business (Accounting & Finance)
  • Year 1 of TIBS-N1B0 Postgraduate Taught Business (Marketing)