Postgraduate Course: Business Statistics (CMSE11206)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | This course introduces students to principles of business statistics and aspects of decision-making. It examines aspects of business and marketing with regards to fundamentals of statistical analysis. |
| Course description |
The aim of the course is to help students develop an understanding of the core quantitative techniques from statistics. A particular emphasis is placed on developing the ability to interpret the numerical information that forms the basis of decision-making in business. Most of the examples are drawn from a variety of business applications.
This course introduces core business statistics and fundamental aspects of decision-making. It examines aspects of business and marketing with regards to principles of statistical analysis. Students will be provided with the theoretical concepts, tools and methods of statistics as well as the opportunity to work through example problems.
Syllabus:
- Descriptive and summary statistics
- Probability, sampling
- Statistical inference
- Hypothesis formulation and testing
- Correlation and regression
- Multivariate analysis
- Non-parametric techniques
Student Learning Experience:
Students will have to read the textbooks stated below in the Required Texts section. Weekly lectures will explore the key concepts of business statistics. During lectures students will be asked to be active, and to raise any issues that present difficulties. Example problems will be distributed after the lecture.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | Students MUST also take:
Marketing Research (CMSE11119)
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| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2022/23, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
150
(
Lecture Hours 1,
Seminar/Tutorial Hours 13,
Programme Level Learning and Teaching Hours 3,
Directed Learning and Independent Learning Hours
133 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
50% coursework (individual) - assesses all course Learning Outcomes
50% coursework (group) - assesses all course Learning Outcomes
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| Feedback |
Formative: TBC
Summative: TBC |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Describe and discuss the key terminology, concepts tools and techniques used in business statistical analysis.
- Critically evaluate the underlying assumptions of analysis tools.
- Understand and critically discuss the issues surrounding sampling and significance.
- Discuss critically the uses and limitations of statistical analysis.
- Solve a range of problems using the techniques covered.
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Reading List
Core text:
Anderson/Sweeney/Williams/Camm/Cochran/Freeman/Shoesmith. Statistics for Business and Economics. Cengage Learning; 2020.
Michael Barrow. Statistics for Economics, Accounting and Business Studies. Sixth edition.. Pearson; 2013.
Recommended:
Naresh K. Malhotra. Marketing Research: an Applied Approach. Fourth edition.. (David F. Birks, Peter Wills 1949-, eds.). Harlow, England: Pearson; 2012.
Advanced reading (beyond the scope of the course):
- Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. (2014) Multivariate data analysis..Harlow, Essex : Pearson
- Tabachnick, B.G. , Fidell, L.S. (2014) Using multivariate statistics. Harlow, Essex: Pearson.
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Additional Information
| Graduate Attributes and Skills |
Autonomy, Accountability and Working with Others
After completing this course, students should be able to:
Act with integrity, honesty and trust in all business stakeholder relationships, and apply ethical reasoning to effective decision making, problem solving and change management.
Understand oneself and others, through critical reflection, diversity awareness and empathic development, in order to maximise individual and collective resilience, and personal and professional potential.
Communication, ICT, and Numeracy Skills
After completing this course, students should be able to:
Critically evaluate and present digital and other sources, research methods, data and information; discern their limitations, accuracy, validity, reliability and suitability; and apply responsibly in a wide variety of organisational contexts.
Knowledge and Understanding
After completing this course, students should be able to:
Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines; comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary and secondary research and sources of evidence in order to make, and present, well informed and transparent organisation-related decisions, which have a positive global impact.
Identify, define and analyse theoretical and applied business and management problems, and develop approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore and solve them responsibly. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Zexun Chen
Tel: (0131 6)50 8074
Email: Zexun.Chen@ed.ac.uk |
Course secretary | Mr Sean Reddie
Tel: (0131 6)50 8074
Email: Sean.Reddie@ed.ac.uk |
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