Accessibility statement

Probability I - ECO00011C

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  • Department: Economics and Related Studies
  • Credit value: 10 credits
  • Credit level: C
  • Academic year of delivery: 2022-23

Module will run

Occurrence Teaching period
A Autumn Term 2022-23

Module aims

Probability I introduces students to some basic ideas in probability and applications in economics

Module learning outcomes

On completion of Probability I, students will be provided with a foundation framework for inferential statistics, studied in Statistics I
Students will be familiar with:

  • The basic tools required to develop and understand Probability ideas and problems
  • Conditional probability
  • Some examples of how the probabilistic framework is relevant for economics and finance

Indicative assessment

Task % of module mark
Online Exam - 24 hrs (Centrally scheduled) 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Online Exam - 24 hrs (Centrally scheduled) 100

Module feedback

Information currently unavailable

Indicative reading

Miller, I. & Miller, M. (2013). John E. Freunds Mathematical Statistics with Applications. 8th ed. Pearson Prentice-Hall.
Spiegel, M R., Srinivasan, A. and Schiller, J J. (2000). Schaums Outline of Theory and Problems of Probability and Statistics. 2nd ed. McGraw-Hill. ISBN 00 71350047.


The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.