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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Statistical Methods for Economics (ECNM08016)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThe course is intended as an introduction to probability theory and statistics for economists and other social science students. It is a required course for students intending to proceed to an Honours degree involving Economics.
Course description The topics covered will include:
Basic concepts, sample spaces, events, probabilities; Conditioning and independence, Bayes' formula; Discrete random variables, expectation, variance, mean, independence; Continuous random variables, distributions and densities; Covariance, correlation, central limit theorem; Summary statistics; Sampling distributions; Hypothesis testing; Interval estimation; simple linear regression, and multiple regression.
The use of Stata for statistical analysis will be supported.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Economics 1 (ECNM08013)
Co-requisites
Prohibited Combinations Other requirements If the pre-requisite is not met, the permission of the course organiser is required.
Information for Visiting Students
Pre-requisitesIn order to take this course, students must have completed at least one course in Economics and one course in Calculus (with grades of B or above), or have obtained written permission of the course organiser.
High Demand Course? Yes
Course Delivery Information
Academic year 2022/23, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 20, Seminar/Tutorial Hours 18, Summative Assessment Hours 3, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 155 )
Assessment (Further Info) Written Exam 75 %, Coursework 25 %, Practical Exam 0 %
Additional Information (Assessment) Weekly Homework: 10%
Essay Project (either individual or in groups): 15%
Final Exam: 75%
Projects: Bonus Marks

A passing course mark is an overall mark of 40% or higher. However, candidates must also pass the final examination with a mark of 40% or above in order to pass the course. Failure to do so will result in a forced fail (FF) regardless of the candidate's coursework mark.

Resit Exam: 100% (August Diet).

Final mark for visiting students as above.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Resit Exam Diet (August)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. A knowledge and understanding of probability and statistical methods with applications to economic and social issues.
  2. Research and investigative skills such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
  3. Communication skills in order to critique, create and communicate understanding and to collaborate with and relate to others.
  4. Personal effectiveness through task-management, time-management, teamwork and group interaction, dealing with uncertainty and adapting to new situations, personal and intellectual autonomy through independent learning.
  5. Practical/technical skills such as, modelling skills (abstraction, logic, succinctness), qualitative and quantitative analysis, and general IT literacy.
Reading List
Newbold, Carlson, Thorne "Statistics for Business and Economics: Global Edition"
Additional Information
Graduate Attributes and Skills See Learning Outcomes
Additional Class Delivery Information One lecture per week each lasting 2 hours, one weekly 2 hour tutorial to be arranged in addition.
KeywordsNot entered
Contacts
Course organiserDr Steven Dieterle
Tel: (0131 6)51 5127
Email: Steven.Dieterle@ed.ac.uk
Course secretaryMs Wenjing Sheng
Tel: (0131 6)50 8361
Email: wenjing.sheng@ed.ac.uk
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