EC2203 Statistics for Economists

Academic year

2024 to 2025 Semester 2

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

20

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 8

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Planned timetable

12.00 noon Mon, Wed, Thu

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr V Saxena

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Vibhor Saxena

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

The module will provide an introduction to statistical methods and regression analysis. Basic probability theory is introduced in order to build up the framework of statistical inference. Statistical principles are then applied to simple regression analysis. Emphasis will be placed on techniques according to their relevance and application to economics. The module is designed for those planning honours economics.

Relationship to other modules

Pre-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS EC2002

Anti-requisites

YOU CANNOT TAKE THIS MODULE IF YOU TAKE MT2508

Co-requisites

YOU MUST ALSO TAKE EC1003 OR TAKE MT1002

Assessment pattern

2-hour Written Examination = 50%, Coursework (2 x 50-minute Class Tests) = 50%

Re-assessment

2-hour Written Examination = 100%

Learning and teaching methods and delivery

Weekly contact

28 lectures over 11 weeks, 6 x 1hr Practical Application Lectures, 10 x 1hr tutorials

Scheduled learning hours

44

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

157

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • Understand the basic idea of probability and statistics
  • Present and analyse data
  • Use of statistical software to conduct basic data analysis
  • Apply the methods to test the theories from wide range of fields
  • The module will enable students to read and understand the empirical literature in their economics honours modules
  • Student will learn long term skills to give a critical and knowledgeable assessment of policies and situations.