|
 Academic Year:
| 2013/4 |
| Owning Department/School:
| School of Management |
| Credits:
| 6 |
| Level:
| Certificate (FHEQ level 4) |
| Period: |
Semester 1 |
| Assessment:
| CW 25%, EX 75% |
| Supplementary Assessment: |
Like-for-like reassessment (where allowed by programme regulations) |
| Requisites:
| In taking this unit you cannot take MA10213 or take MA10214 or take MN10004 This unit is not available to visiting/exchange students. |
| Description:
| Aims: To introduce students to the principles of data analysis with particular reference to business applications. Learning Outcomes: Students who pass the unit will be able to: * convert raw data into comparable formats, e.g. index numbers or z-scores; * classify data by level (nominal, ordinal, interval, ratio); identify dependent and independent variables; * carry out parametric statistical tests. * carry out elementary project appraisal techniques such as simple Decision Trees and Discounted Cash Flow analysis. * use relevant software applications: e.g. spreadsheets, at a "power user" level. 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, facilitated and assessed. * use of Information Technology: Taught, facilitated and assessed. Content: * Collection and presentation of data; * Discrete distributions and continuous distributions; * Descriptive statistics; * Inferential statistics including correlation and regression; * Index numbers; * Elementary probability; * Management applications of quantitative methods in finance, project management and decision-making. * Computer applications which are useful for data analysis in a business and academic context. |
| Programme availability: |
MN10077 is Compulsory on the following programmes:Department of Politics, Languages and International Studies
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