MGMT280-15S2 (C) Semester Two 2015

Statistical Methods for Management

15 points

Details:
Start Date: Monday, 13 July 2015
End Date: Sunday, 15 November 2015
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 26 July 2015
  • Without academic penalty (including no fee refund): Sunday, 11 October 2015

Description

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 and discriminant analysis. 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.

This course focuses on the appropriate use of common multivariate statistical techniques to analyse data to inform management decisions. Linear and multiple regression analysis are covered at length. Other topics include t-test, correlation, and analysis of variance. Students will 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.

Relationship to Other Courses
This course is a required course for students majoring in Marketing, Management Science, or Operations Management. It is a prerequisite for some BCom Honours degrees offered by the Department of Management, Marketing, and Entrepreneurship. Students majoring in MGMT or ACIS would also find this paper useful.

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. The textbook contains a comprehensive introduction to the software and will form the basis of the tutorial activities. SPSS is very comprehensive; you will use only a subset of its facilities.

Online Resources
Lecture notes, assignment details, announcements relating to the course, and marks for assessment items will be available via UC Learn.
Check the MGMT/MKTG/MSCI280 Learn site regularly for notices and updates.

The course coordinator may choose not to respond to emails asking questions that can be easily answered by consulting this course outline or the Learn site.

Workload
The total workload for this course is about 150 hours in total. This is made up approximately as follows:
Lectures 24 hours
Laboratory sessions 10 hours
Tests and examinations 5 hours
Test and exam preparation 47 hours
Lab preparation/follow-up 10 hours
Individual Assignment 30 hours
Lecture preparation and follow-up 24 hours
Total 150 hours

Learning Outcomes

The student will be able to:
1 Show an awareness of the steps involved in positivist enquiry;
2 Show an awareness of the contribution that statistical analysis can make to organisations;
3    Show an awareness of the limitations of statistical analysis;
4 Identify business situations where statistical analysis may be applied; formulate research questions;
5 Select an appropriate analysis to undertake an investigation to achieve given aims;
6 Perform analyses using SPSS for basic statistics and a range of commonly used multivariate statistical analyses;
7 Show an awareness of the assumptions under which it is valid to use these techniques;
8 Report and interpret results for management;
9 Critically assess data and the results of analysis.

BCom Learning Goals
Goal 1: Graduates can demonstrate advanced knowledge of their selected subject
major, informed by the broader context of Commerce;
Goal 2: Graduates are able to use analytical thinking and problem-solving skills to
address specific problems;
Goal 3: Graduates can understand issues from a range of ethical, global and
multicultural perspectives;
Goal 4: Graduates are able to communicate effectively both orally and in written
form.

Prerequisites

(1) MSCI110 or 15 points STAT; and (2) 15 points of MGMT or MKTG or MSCI or MATH

Restrictions

MSCI210, MSCI280, MKTG280

Equivalent Courses

Timetable Note

Class Etiquette
All students are expected to attend all scheduled course sessions and tutorials, actively engage with course content, actively participate in all course activities, and complete all required tasks by the due dates. THE LECTURES ARE NOT RECORDED.

Course Coordinator / Lecturer

Girish Prayag

Assessment

Assessment Due Date Percentage  Description
Test 03 Aug 2015 15% Test
Tutorial Work 10% Tutorial Work
SPSS Test 15% SPSS Test
Assignment 12 Oct 2015 20% Assignment
Final Examination 40% Final Examination


Grading
50% is the pass mark for this course. You will not be required to have at least 50% in the final exam to pass the course. Assignments received after the deadline will have 10% deducted from the available grade, per day. For example, an assignment that is one day late will lose 10% of the available grade (i.e. a 78% becomes a 68%), 2 days late 20% (i.e. a 78% becomes 58%) etc.

Textbooks / Resources

Required Texts

Field, Andy P; Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll ; 4th ed; Sage, 2013.

This text is essential. It will form the basis of the lectures, the computer laboratories and the assessment activities.

Notes

Class Representative
A class representative may be asked to volunteer in the first few weeks of class. Any problems with the course can be raised with the class rep. Their email can be found at UCSA. The class representative will take up any issues raised by class members with the lecturer concerned as they occur.

Departmental Academic Policies
The Department assumes that you have read this document.

You should also read the 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 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

Indicative Fees

Domestic fee $737.00

International fee $3,125.00

* 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 MGMT280 Occurrences

  • MGMT280-15S2 (C) Semester Two 2015