MSCI210-07S1 (C) Semester One 2007

Statistical Methods for Management

11 points

Details:
Start Date: Monday, 26 February 2007
End Date: Sunday, 1 July 2007
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 11 March 2007
  • Without academic penalty (including no fee refund): Sunday, 27 May 2007

Description

Multivariate methods including multiple regression modelling using Minitab. General statistical concepts. An essential course for MS/OR, Operations Management or Marketing majors; and students contemplating Honours in MGMT or MSCI.

Knowledge of the Normal distribution and an understanding of hypothesis testing and confidence intervals are assumed. The concept of a statistical model is considered. The course focuses on appropriate use of multivariate statistical techniques to analyse data to inform management. Multiple regression analysis is covered in 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 are emphasized.

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) STAT111 or STAT112 or STAT131
(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.
At the discretion of the HOD, the statistics prerequisite may be replaced by a high level of achievement in Bursaries Mathematics with Statistics.

Restrictions

MSCI202

Timetable Note

Beginning week 2. (One hour per week). Some of these are held in the computer labs; A schedule will be provided; Students can enrol for tutorials on the web .  Tutorial enrolment is now open.

Lectures are not videoed or taped.

Course Coordinator

Don McNickle

Lecturer

Peter Heffernan

Assessment

Assessment Due Date Percentage  Description
Test 1 02 May 2007 30% Test 1
Final Examination 70% Final Examination

Textbooks / Resources

Recommended Reading

Coakes, Sheridan J. , Steed, Lyndall G; SPSS : analysis without anguish : version 11 for Windows ; 5th ed; John Wiley & Sons, 2003 (SPSS Analysis Without Anguish V11 is useful for further reference).

Dielman, Terry E; Applied regression analysis : a second course in business and economic statistics ; 4th ed; Duxbury, 2004 (The 3rd edition can also be used).

Course notes will be available for purchase at the Course Mart Room, Level 1, Central Library from Monday 26 February and after that they from the Library Copy Centre, Level 2, Central Library.

Notes

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 and look at algebraic formulas to get an understanding of what they represent.

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 MSCI310, MSCI311, MSCI312 and MGMT312, and is required for entry into BCom. Hons. in both Management Science and Management.

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 adjudicated 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 350 of the Enrolment Handbook 2007 (also in UC Calendar under “General Course and Examination Regulations”).

Indicative Fees

Domestic fee $382.00

International fee $1,559.00

* 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

  • MSCI210-07S1 (C) Semester One 2007
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