Undergraduate Course: Statistical Methods for Economics (ECNM08016)
Course Outline
| 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 |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| 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. |
| 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.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Economics 1 (ECNM08013)
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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-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? |
Yes |
Course Delivery Information
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| Academic year 2021/22, Available to all students (SV1)
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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 )
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| Assessment (Further Info) |
Written Exam
75 %,
Coursework
25 %,
Practical Exam
0 %
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| 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 |
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| 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:
- 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.
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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. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Colin Roberts
Tel: (0131 6)50 8353
Email: C.J.Roberts@ed.ac.uk |
Course secretary | Ms Supawadee Jitpatanakun
Tel: (0131 6)51 5936
Email: sue.jitpatanakun@ed.ac.uk |
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