Statistics I - ECO00012C

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

Related modules


Module will run

Occurrence Teaching period
A Spring Term 2022-23 to Summer Term 2022-23

Module aims

Statistics 1 introduces students to some basic ideas and techniques of statistical inference that are routinely used in Economics, Business, and other social sciences. In addition, students are introduced to the use of statistical inference in solving problems. Students will be provided with a foundation for intermediate econometric and statistical modules offered in Stages 2 & 3.

Module learning outcomes

After successful completion of the module students are able to:

  • Describe the concepts of populations, samples and sampling distributions
  • Describe and be able to apply procedures for estimating quantities of interest and testing claims about such quantities
  • Describe the role of correlation and simple regression in analysing the relationship between two variables, and be able to apply these tools and discuss empirical results.

Indicative assessment

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

Special assessment rules

None

Indicative reassessment

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

Module feedback

Information currently unavailable

Indicative reading

  • Thijssen, J.J.J. (2013), Foundations of Statistical Inference, made available through the VLE.

As an alternative text students can consult:

  • Miller, I. & Miller, M. (2004). John E. Freunds Mathematical Statistics with Applications. 7th ed. Pearson Prentice-Hall.