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EC122 - Statistical Techniques A

  • Module code: EC122
  • Module name: Statistical Techniques A
  • Department: Economics
  • Credit: 12, 15

Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

To provide an introduction to statistical ideas in economic and social studies, probability theory and techniques of statistical inference. The module provides a foundation in statistics necessary for core and optional modules in economics for PPE and EPAIS degree courses. It does not satisfy the requirement for EC226 Econometrics 1.

Principal learning outcomes

By the end of this module you will have an awareness of the key ideas of probability and statistical significance, and associated analytical techniques. It will also include basic tools of descriptive statistics.

Timetabled teaching activities

Two lectures per week in the Spring term and weekly seminars. Attendance at examples seminars is compulsory and monitored

Departmental link

Module assessment

Assessment group Assessment name Percentage
12 CATS (Module code: EC122-12)
D (Assessed/examined work) Assessed Course Work 12.5%
Assessed Course Work 12.5%
Examination - Main Summer Exam Period (weeks 4-9) 75%
Assessed Course Work 100%
15 CATS (Module code: EC122-15)
D (Assessed/examined work) Assessed Course Work 10%
Assessed Course Work 10%
Assessed Course Work 10%
Examination - Main Summer Exam Period (weeks 4-9) 70%

Module availability

This module is available on the following courses:



Optional Core
  • Undergraduate Economic Studies and Global Sustainable Development (L1L8) - Year 1
  • Undergraduate Philosophy, Politics and Economics (V7ML) - Year 1
  • Undergraduate Economics, Politics and International Studies (LM1D) - Year 1