Postgraduate Course: Business Statistics (CMSE11206)
Course Outline
| School | Business School | 
College | College of Humanities and Social Science | 
 
| Course type | Standard | 
Availability | Available to all students | 
 
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) | 
Credits | 15 | 
 
| Home subject area | Common Courses (Management School) | 
Other subject area | None | 
   
| Course website | 
None | 
Taught in Gaelic? | No | 
 
| Course description | This course introduces students to basic business statistics and aspects of decision-making. It examines aspects of business and marketing with regards to basic statistical analysis. | 
 
 
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites | 
 | 
Co-requisites |  | 
 
| Prohibited Combinations |  | 
Other requirements |  None | 
 
| Additional Costs |  None | 
 
 
Information for Visiting Students 
| Pre-requisites | None | 
 
| Displayed in Visiting Students Prospectus? | No | 
 
 
Course Delivery Information
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| Delivery period: 2014/15  Semester 1, Available to all students (SV1) 
  
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Learn enabled:  Yes | 
Quota:  None | 
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Web Timetable  | 
	
Web Timetable | 
 
| Course Start Date | 
15/09/2014 | 
 
| Breakdown of Learning and Teaching activities (Further Info) | 
 
 Total Hours:
150
(
 Lecture Hours 20,
 Summative Assessment Hours 2,
 Other Study Hours 125,
 Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
0 )
 | 
 
| Additional Notes | 
Directed Learning and Independent Learning Hours 125
 | 
 
| Breakdown of Assessment Methods (Further Info) | 
 
  Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
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| Exam Information | 
 
    | Exam Diet | 
    Paper Name | 
    Hours & Minutes | 
    
	 | 
  
| Main Exam Diet S1 (December) |  | 2:00 |  |  
 
Summary of Intended Learning Outcomes 
A. Knowledge and understanding of  
* the key terminology, concepts and tools used in business statistical analysis; 
* the range of business statistics used; 
* the underlying assumptions of analysis tools;  
* the issues surrounding sampling and significance; 
* the uses and limitations of statistical analysis;  
* the capabilities of computer software for statistical analysis. 
 
B. Intellectual skills  
Students will develop analytical skills such as: 
* the ability to recognise statistical techniques appropriate to the analysis of particular business problems or situations; 
* the ability to select appropriate statistical techniques and evaluate their relative merits and costs; 
* the ability to calculate and interpret business statistics.  
 
C. Professional/subject specific/practical skills 
Students will gain:  
* the experience of working with data sets and applying business statistics; 
* the experience of using computer software packages in statistical analysis; 
* the ability to access and interpret existing business statistics information. 
 
D. Transferable skills  
By the end of the course students will be expected to:  
* be able to use computer software packages in the analysis of business operations; 
* be able to work individually and as a team in the construct and interpretation of business statistical analysis reports; 
* be able to present the results of business analysis techniques. | 
 
 
Assessment Information 
An exam (weighted 70%)  
Individual assignment (weighted 30%).  
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Special Arrangements 
| None |   
 
Additional Information 
| Academic description | 
Not entered | 
 
| Syllabus | 
Not entered | 
 
| Transferable skills | 
Not entered | 
 
| Reading list | 
Anderson, D.R., Sweeney, D.J., Williams, T.A., Freeman, J. and Shoesmith, E. (2007) Statistics for Businesses and Economics (European ed.) Thomson Learning:UK. | 
 
| Study Abroad | 
Not entered | 
 
| Study Pattern | 
Not entered | 
 
| Keywords | Not entered | 
 
 
Contacts 
| Course organiser | Dr Galina Andreeva 
Tel: (0131 6)51 3293 
Email: Galina.Andreeva@ed.ac.uk | 
Course secretary | Miss Malgorzata Litwinska 
Tel: (0131 6)51 3028 
Email: Maggie.Litwinska@ed.ac.uk | 
   
 
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© Copyright 2014 The University of Edinburgh -  29 August 2014 3:41 am 
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