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: 2022-23
  • 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

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: Two 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

Students will normally have completed ECON1012 Introductory Mathematics for Economists, and should note that progression to Honours study requires D3 or above in both ECON1012 Introductory Mathematics and ECON1013 Introductory Statistics (or equivalent courses).

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:

■ 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:

1. Summarize and describe data to support decisions.

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

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

4. Test hypothesis of interests using appropriate statistical tests.

5. 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.