Undergraduate Course: Statistical Methods for Economics (ECNM08016)
|School||School of Economics
||College||College of Humanities and Social Science
|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.
Information for Visiting Students
|Pre-requisites||A knowledge of calculus and an Economics course taken previously, or permission of the course organiser.
|High Demand Course?
Course Delivery Information
|Academic year 2017/18, 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%
Class Exam: 10% (2 class exams worth 10% each, lowest mark is dropped)
Final Exam: 70%
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, 8e"|
|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 Nicholas Myers
Tel: (0131 6)51 5189
|Course secretary||Ms Dawn Mcmanus
Tel: (0131 6)50 6946