MSCI210-06S1 (U) Semester One 2006 (University Campus)

Statistical Methods for Management

11 points

Details:
Start Date: Monday, 20 February 2006
End Date: Sunday, 2 July 2006
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2006
  • Without academic penalty (including no fee refund): Sunday, 28 May 2006

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 course focuses on appropriate use of multivariate statistical techniques to analyse data to inform management. Multiple regression analysis is covered in some depth. Other techniques include chi-squared, correlation, and analysis of variance. Students use a commercial statistical package, SPSS, throughout the course. Interpretation of results for management and an understanding of the contribution of each analysis are key features of this course. The concept of a statistical model is introduced.

Learning Outcomes

Upon completion of this course you should be able to:

- understand the importance of statistical analyses to management
- understand how to identify aims of an investigation
- perform statistical analyses using SPSS, including basic statistics, t tests, chi-squared test, 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, to describe and explain business situations consistent with specified aims
- understand the concept of statistical modelling using multivariate techniques and to assess and develop basic models using the techniques covered
- report results statistically
- interpret and report 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 / Lecturer

Terri Green

Assessment

Assessment Due Date Percentage 
Final Examination 70%
Test 30%


This course is a good choice for students majoring in MS/OR, OM, or Marketing.  It is a prerequisite for MSCI310, MSCI311 MSCI312 and MGMT312, and is required for entry into BCom. Hons. in both Management Science and Management.  The workload in terms of class preparation, review, assignments, readings, and examination preparation is about 8 hours per week.

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.

Textbooks / Resources

Course notes will be available for purchase at the Course Mart Room, Level 1, Central Library from Monday 13 February to Friday, 3 March. After that they will be available for purchase from the Copy Centre, Level 2, Central Library.

Notes

Relationship to Other Courses:
This course is a good choice for students majoring in MS/OR, OM, or Marketing. It is a prerequisite for MSCI 310, MSCI 311, MSCI312 and MGMT 312, and is required for entry into BCom. Hons. in both Management Science and Management. The workload in terms of class preparation, review, assignments, readings, and examination preparation is about 8 hours per week.

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 and Guidelines:
A summary of Departmental academic policies on course grading, aegrotat considerations, etc. is available under: http://www.mang.canterbury.ac.nz/courseinfo/acadpolicies.doc
If you require a hard copy of this document, please ask the course co-ordinator. The Department assumes that you have read this document.

Indicative Fees

Domestic fee $364.00

International fee $1,486.00

* 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

  • MSCI210-06S1 (U) Semester One 2006 (University Campus)