Numbers are the universal language of business. You'll go beyond just the statistics and discover how to use numbers to generate actionable insights and decisions. You’ll understand data sources, statistical analysis and inferential statistics. By developing advanced Excel skills, essential in today’s workplace you'll demonstrate a high-level of ability in data interpretation. Through applying these skills to real world business scenarios, you’ll become a better problem solver and decision maker, empowering you for business success in today’s data-driven world.
The module will be taught by lectures, computer terminal sessions and private study.
Total Contact Hours: 21
Private Study Hours: 129
The module is assessed 100% by coursework, divided as follows.
VLE: quiz (20%)
1 ´ online VLE quizzes (20%) testing technical aspects of the syllabus
In-course test (20%)
1 x 45 minute in-course test
Statistics Report (60%)
Students have to identify real examples of the use of quantitative information and statistics and produce a report including commentary and analysis and should be no more than 8 pages in length including tables and diagrams.
For reassessment, students will resubmit the statistics report as coursework
Keller, G. and Gaciu, N. (2015). Managerial Statistics (Europe, Middle East and Africa Edition), Andover: Cengage. Of particular relevance are Chapters 1–10 and 14.
Lind, D.A., Marchal, W.G. and Wathen, S.A. (2013) Basic Statistics for Business & Economics, (8th edn.), New York: McGraw-Hill
Seeley J, (2002), One Step Ahead: Writing Reports, Oxford: OUP.
See the library reading list for this module (Canterbury)
See the library reading list for this module (Medway)
The intended subject specific learning outcomes. On successfully completing the module students will be able to:
- Use graphical, numerical and statistical techniques to handle a variety of business problems
- Summarise and analyse data and present it effectively to others and use appropriate software, including spreadsheets
- Use statistical techniques to draw well founded inferences from quantitative data
- Understand the scope and limitations of quantitative methods
- Identify sources of published statistics, understand their context and report on their wider relevance
The intended generic learning outcomes. On successfully completing the module students will be able to:
- Demonstrate numeracy and quantitative skills including organising data, abstracting meaning from information and supporting written work by following the required academic conventions
- Demonstrate a reflective approach to learning and critical thinking skills essential for success in business
- Demonstrate effective writing skills at Level 4 as required to complete written assignments and business reports
- Work and study independently and utilise resources effectively
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