Welcome to the Management Data Analysis.
The module is designed to introduce students to the basic concepts of probability and statistical analysis which will prove to be an essential support to their other modules. It will allow them to work on realistic problems, using case materials where relevant, and extensive use of Excel to analyse management data. Students will apply concepts and processes outlined in lectures.
Intended Module Learning Outcomes
The intended learning outcomes are that on completion of this module the student should be able to:
Apply basic probability and statistical techniques
Formulate, test and interpret statistical hypotheses using significance tests to analyse realistic management problems
Recognise the scope and range of modern statistics packages, to facilitate data analysis and enable more efficient statistical report writing
Method of Assessment (normally assessed as follows)
The intended learning outcomes will be assessed as an end-of-course assignment (100%) where you will write an individual report.
Students undertake a small survey, formulate, test and interpret statistical hypotheses using significance tests in Excel and SPSS, and report on the results. The surveys can be prepared in groups if they are designed so that the data analysis can be performed by separately individuals.
Berenson M., D. Levine, T. Krehbiel (2012), Basic Business Statistics, 12th edition, Prentice Hall
Lind D. (2010), Basic Statistics for Business and Economics, McGraw: Hill
Render, Stair, Hanna, R. (2009), Quantative Analysis for Management, New Jersey: Pearson Prentice Hall
Oakshott, L. (2010) Essential Quantative Methods, Palgrave
Steinberg WJ. (2008), Statistics Alive!, Thosand Oaks, California: Sage Publications
Price, M. (2007) Office 2007 in Easy Steps, In Easy Steps (ISBN: 978-1-84078-344-5)
Students must have access to the internet and bring a scientific calculator to each class.
PHStat (an add-on to Excel that comes with the textbook and is available from its webpage)