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Multivariate methods including multiple regression modelling using SPSS. General statistical concepts. An essential course for MS/OR, Operations Management or Marketing majors; and students contemplating Honours in MGMT or MSCI.
The course focuses on appropriate use of multivariate statistical techniques to analyse data to inform management. Multiple regression analysis is covered at some length. Other topics include correlation, analysis of variance, and contingency tables. Students use a commercial statistical package, SPSS, throughout the course. Interpretation of results for management is emphasized. The contribution of each analysis to understanding a business situation is identified. The concept of a statistical model is considered.
Upon completion of this course you should be able to:-understand the importance of statistical analysis to management-understand how to use statistical analysis to undertake an investigation to achieve given aims-perform statistical analyses, using SPSS for basic statistics, estimation and hypothesis testing for a single variable, chi-squared tests, correlation, multiple regression and analysis of variance-understand the assumptions under which it is valid to use these techniques-understand which of these analyses to undertake in order to achieve specified aims in business situations-understand the concept of statistical modelling using multivariate techniques and assess and develop basic models using the techniques covered-report results statistically-report and interpret results for management*** It is not enough to do the analysis! Interpretation and reporting are required.
(1) MSCI110 or 18 points of STAT; (2) 9 points from MSCI or MGMT or MATH104 or MATH105 or MATH106 or MATH107 or MATH108 or MATH109 or MATH116 or MATH127 or MATH171.
MSCI202
Tutorials for one hour per week begin in the second week. Some of these are held in computer labs. Students are automatically allocated to a tutorial time and can view and amend it on UCstudent, AFTER their enrolment on the course has been processed. However there might not be space left in all tutorials. If there are still problems contact Peter Heffernan. Venues and schedules will be posted on Blackboard.
Terri Green
Peter Heffernan
Relationship to Other CoursesThis course is a good choice for students majoring in Marketing or Management Science (both Operations Research (OR) and Operations Management (OM)). It is a prerequisite for MSCI 310, MSCI 311, MSCI312 and MGMT312, and is required for entry into BCom. Hons. in both Management Science and Management.Prior KnowledgeStudents will have completed MSCI110, STAT111 or equivalent. This course builds on that material. In particular students should have knowledge and understanding of the Normal distribution, hypothesis testing and confidence intervals.Statistical SoftwareThis course uses SPSS (Statistical Package for the Social Sciences). Supervised computer lab sessions are offered during tutorial times in some weeks. A handout is provided. SPSS is very comprehensive; you will use only a subset of its facilities.Manual ComputationsThis course relies heavily on SPSS, but you should be prepared to:- Use statistical tables and a calculator to carry out statistical calculations- Look at algebraic formulas to get an understanding of what they meanGradingIt is departmental practice that all raw scores may be standardised prior to assigning final course grades. This usually implies that a standardised mark of 50 is a pass. You must achieve a weighted scaled average of over 45% in invigilated work in order to be eligible to gain a passing grade (C or higher).Departmental Academic Policies If you want a hard copy of this document, please ask the course co-ordinator. The Department assumes that you have read this document. You should also read the “Information related to courses and assessment” on page 372 of the Enrolment Handbook 2009 (also in UC Calendar under “General Course and Examination Regulations”).Dishonest Practice:The 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 present as your own the work of another person (student’s work 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, is liable to receive a fail grade for that piece of assessment and might face disciplinary action which might lead to a fine, community service or exclusion from the University.Coversheets - Group and Individual
Domestic fee $414.00
International fee $1,742.00
* 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 .