Probability I - ECO00011C

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  • Department: Economics and Related Studies
  • Module co-ordinator: Dr. Fabrizio Iacone
  • Credit value: 10 credits
  • Credit level: C
  • Academic year of delivery: 2018-19

Module will run

Occurrence Teaching cycle
A Autumn Term 2018-19

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

Assessment

Task Length % of module mark
University - closed examination
Probability I
1.5 hours 100

Special assessment rules

None

Reassessment

Task Length % of module mark
University - closed examination
Probability I
1.5 hours 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 is constantly exploring 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 by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.