Module leader: Eddie Shoesmith
eddie.shoesmith@buckingham.ac.uk
One term (15 units)
This module focuses on basic inferential methods in statistics that have applications in business, economics and finance. By taking and participating in this module, students will develop an understanding of the logical arguments underlying statistical inference and gain knowledge of the contexts and types of problem for which inferential methods can be used. They will also get experience of applying the techniques using the Excel spreadsheet program, with ‘real-world’ data sets, and of interpreting the results.
This module covers the following topic areas:
- Sampling distributions and their relevance to statistical inference
- Interval estimation and the construction of confidence intervals
- The principles of statistical hypothesis testing
- Statistical inference for 2-sample problems
- Comparison of means, independent samples
- Comparison of means, matched samples
- Comparison of variances
- Simple linear regression
- Multiple linear regression
The module is assessed by four in-class tests (best three to count, weighting 25%), and an open-book examination (75%).
The key text for the module is :
- Sweeney, D.J.. T.A. Williams, D.R. Anderson, J. Freeman & E. Shoesmith, Statistics for business and economics (1st international edition, London: Thomson, 2007). ISBN: 978-1-84480-313-2.
Before purchasing any key texts, we recommend that you check for the latest edition with the Business School.
