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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 the module the student should be able to demonstrate an awareness of statistical ideas and a foundation in statistics.

Timetabled teaching activities

20 Lecture hours and 9 Support and Feedback classes.

Departmental link

http://go.warwick.ac.uk/ec122

Module assessment

Assessment group Assessment name Percentage
12 CATS (Module code: EC122-12)
D (Assessed/examined work) Test 1 10%
  Test 2 10%
  1200 word Statistical Project 10%
  1.5-hour examination (Summer) 70%
15 CATS (Module code: EC122-15)
D (Assessed/examined work) Test 1 10%
  Test 2 10%
  1200 word Statistical Project 10%
  1.5-hour examination (Summer) 70%

Module availability

This module is available on the following courses:

Core

N/A

Optional Core
  • Undergraduate Economic Studies and Global Sustainable Development (L1L8) - Year 1
  • Undergraduate French Studies and Economics (4-year) (R1L1) - Year 1
  • Undergraduate French and Economics (4-year) (R1L4) - Year 1
  • Undergraduate German Studies and Economics (4-year) (R2L1) - Year 1
  • Undergraduate German and Economics (4-year) (R2L4) - Year 1
  • Undergraduate Italian and Economics (4-year) (R3L4) - Year 1
  • Undergraduate Hispanic Studies and Economics (4-year) (R4L1) - Year 1
  • Undergraduate Modern Languages and Economics (4-year) (R9L1) - Year 1
  • Undergraduate Philosophy, Politics and Economics (V7ML) - Year 1
Optional
  • Undergraduate Economics, Politics and International Studies (LM1D) - Year 1