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This course focuses on the appropriate use of commonly used multivariate statistical techniques to analyse data to inform management. Multiple regression analysis is covered at some length. Other topics include correlation, analysis of variance, discriminant analysis and data mining. Students use a commercial statistical package, SPSS, throughout the course. Interpretation, reporting and critical reflection of the results for management are emphasized. The contribution of each analysis to understanding a business situation is identified. The concept of a statistical model is introduced. This is a required course for majors in Marketing and Management Science and Operations Management and is a prerequisite for all honours degrees offered by the Department of Management.
The student will be able to:1. Be aware of the steps involved in positivist enquiry.2. Show an awareness of the contribution that statistical analysis can make to organisations; be aware of the limitations.3. Identify business situations where statistical analysis may be applied; formulate research questions.4. Select an appropriate analysis to undertake an investigation to achieve given aims.5. Perform analyses using SPSS for basic statistics and a range of commonly used multivariate statistical analyses. 6. Show an awareness of the assumptions under which it is valid to use these techniques.7. Show an awareness of the concept of statistical modelling using multivariate techniques, and assess and develop basic models using the techniques covered.8. Report and interpret results for management.9. Critically assess results of analysis.10. Critically assess data.
(1) MSCI110 or 15 points STAT (2) 15 points of MSCI or MGMT or MKTG or MATH
MSCI210, MSCI280, MKTG280
MSCI280, MKTG280
Terri Green
Siegel, Andrew F; Practical business statistics ; 6th ed; Academic Press, 2012 (Note: 5th or 6th edition may be used).
Course material will be placed on Learn.
Departmental Academic Policies The Department assumes that you have read this document.You should also read the General Course and Examination Regulations Dishonest PracticeThe University of Canterbury considers cheating and plagiarism to be serious acts of dishonesty. All assessed work must be your own individual work unless specifically stated otherwise in the assessment guidelines. Material quoted from any other source must be clearly acknowledged. You must not copy the work of another person (student or published work) in any assessment including examinations, tests and assignments. Any person, who is found to have copied someone else's work, or to have allowed their work to be copied, will receive a fail grade for that piece of assessment and may face disciplinary action which may lead to a fine, community service or exclusion from the university.IMPORTANT: Where there are concerns regarding the authorship of written course work, a student can be required to provide a formal, oral explanation of the content of their work.Coversheets - Group and Individual
Domestic fee $655.00
International fee $2,888.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Management, Marketing and Tourism .