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.