Undergraduate Course: Statistical Methods for Economics (ECNM08016)
|School||School of Economics
||College||College of Arts, Humanities and Social Sciences
|Credit level (Normal year taken)||SCQF Level 8 (Year 2 Undergraduate)
||Availability||Available to all students
|Summary||The 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.
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)
|| Students MUST have passed:
Economics 1 (ECNM08013)
||Other requirements|| If the pre-requisite is not met, the permission of the course organiser is required.
Information for Visiting Students
|Pre-requisites||In 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?
Course Delivery Information
|Academic year 2022/23, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 20,
Seminar/Tutorial Hours 18,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|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.
||Hours & Minutes
|Main Exam Diet S2 (April/May)||2:00|
|Resit Exam Diet (August)||2:00|
On completion of this course, the student will be able to:
- A knowledge and understanding of probability and statistical methods with applications to economic and social issues.
- Research and investigative skills such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
- Communication skills in order to critique, create and communicate understanding and to collaborate with and relate to others.
- 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.
- Practical/technical skills such as, modelling skills (abstraction, logic, succinctness), qualitative and quantitative analysis, and general IT literacy.
|Newbold, Carlson, Thorne "Statistics for Business and Economics: Global Edition"|
|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.
|Course organiser||Dr Steven Dieterle
Tel: (0131 6)51 5127
|Course secretary||Miss Lisa Jones
Tel: (0131 6)51 5958