Please note: there may be some adjustments to the teaching arrangements published in the course catalogue for 2020-21. Given current circumstances related to the Covid-19 pandemic it is anticipated that some usual arrangements for teaching on campus will be modified to ensure the safety and wellbeing of students and staff on campus; further adjustments may also be necessary, or beneficial, during the course of the academic year as national requirements relating to management of the pandemic are revised.

Introductory Statistics for Economists ECON1013

  • Academic Session: 2021-22
  • School: Adam Smith Business School
  • Credits: 10
  • Level: Level 1 (SCQF level 7)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

The course introduces students to the fundamental concepts of statistics, provides a basic understanding of sampling and statistical inference, and covers topics leading up to regression analysis.

Timetable

Interactive Lectures: Two 1-hour lectures x 7 weeks

Tutorials: One 1-hour tutorials x 4 weeks

Computer Labs: One 1- hour lab x 3 weeks 

Please refer to MyCampus for details.

Requirements of Entry

None

Excluded Courses

Stats 1002 and 1003

SPS 1001 and 2001

Geography 1 and Geography 2

Psychology 1 and Psychology 2

Q-step 1 and Q-step 2

Co-requisites

None

Assessment

ILO

Main Assessment In: April/May

Course Aims

The course aims to:

■ Provide an introduction to the fundamental concepts in statistics.

■ Develop the ability to compute various statistics and provide appropriate interpretation.

■ Develop the skills to use basic tools of economic data analysis effectively.

Intended Learning Outcomes of Course

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

1. Explain the fundamental concepts of statistics.

2. Apply statistical concepts and methods to economic issues.

3. Use software to conduct basic statistical analysis.

4. Effectively present and explain the results of statistical analysis.

5. Effectively collaborate with team members

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.