Introductory Statistics for Economists ECON1013

  • Academic Session: 2024-25
  • School: Adam Smith Business School
  • Credits: 10
  • Level: Level 1 (SCQF level 7)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Collaborative Online International Learning: No

Short Description

This course provides an elementary introduction to statistics. Topics include descriptive statistics, sampling, estimation, and hypothesis testing. The course is designed for students planning for honours in economics.

Timetable

Interactive Lectures: One 2-hour lectures x 7 weeks

Tutorials: One 1-hour tutorials x 4 weeks

Computer Labs: One 1-hour lab x 3 weeks 

Requirements of Entry

Continuing University of Glasgow students must normally have completed the course(s) and achieved the grades listed below or higher to permit enrolment in this course. 

■ ECON1001: Economics 1A - grade D3 or above

■ ECON1002: Economics 2A  - grade D3 or above

Direct entry students will be guided by the relevant College on entry requirements. 

Excluded Courses

■ STATS1002 and STATS1003

■ SPS1001 and SPS2001

■ GEOG1001

■ PSYCH1001 and PSYCH1002

Co-requisites

None.

Assessment

ILO

Main Assessment In: April/May

Course Aims

The course aims to:

■ Introduce graphical and numerical descriptive statistics.

■ Introduce the basic principles of statistical inference.

■ Build a starter statistical toolbox to describe data and perform basic statistical inference.

■ Familiarise with statistical software.

Prepare for more advanced quantitative courses.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ Summarize and describe data to support decisions.

■ Describe the sampling distribution of statistics of interest and appreciate the importance of the law of large number and the central limit theorem.

■ Construct and interpret point and interval estimate and describe their statistical properties.

■ Test hypothesis of interests using appropriate statistical tests.

■ Use a statistical software to produce descriptive statistics and conduct inference.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.