MSCI210-09S1 (C) Semester One 2009

Statistical Methods for Management

11 points

Details:
Start Date: Monday, 23 February 2009
End Date: Sunday, 28 June 2009
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 8 March 2009
  • Without academic penalty (including no fee refund): Sunday, 24 May 2009

Description

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.

Learning Outcomes

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.

Prerequisites

(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.

Restrictions

MSCI202

Timetable Note

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.

Course Coordinator

Terri Green

Lecturer

Peter Heffernan

Assessment

Assessment Due Date Percentage  Description
Test 29 Apr 2009 30% Test
Final Examination 70% Final Examination

Notes

Relationship to Other Courses
This 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 Knowledge
Students 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 Software
This 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 Computations
This 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 mean

Grading
It 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

Indicative Fees

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 .

All MSCI210 Occurrences

  • MSCI210-09S1 (C) Semester One 2009