School of Management, Unit Catalogue 2006/07

MN10077 Quantitative methods

Credits: 6

Level: Certificate

Semester: 2

Assessment: CW 50%, EX 50%

Requisites:

Before taking this unit you must take MN10004 and in taking this unit you cannot take MA10095

Aims: To introduce students to the principles of data analysis with particular reference to business applications.
Learning Outcomes:
Students should be able to search for and download data from the web; convert raw data into index numbers or percentages; classify data by level (nominal, ordinal, interval, ratio); identify dependent and independent variables; and carry out parametric statistical tests. They should also be able to carry out elementary project appraisal techniques such as simple Decision Trees and Discounted Cash Flow analysis.
Skills:

* Intellectual: identify the correct technique required to solve data analysis problems. Taught and assessed.
* Professional: apply statistical techniques to business problems. Taught and assessed.
* Key skills: use and understanding of numerical data. Taught and assessed.
Content:
Collection and presentation of data; descriptive statistics; inferential statistics including correlation and regression; index numbers; time series; elementary probability; decision trees.

University | Catalogues for 2006/07