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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 CoursesThis 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 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. 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 ResourcesLecture notes, assignment details, announcements relating to the course, and marks for assessment items will be available via UC LEARN2.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.WorkloadThe total workload for this course is about 150 hours in total. This is made up approximately as follows:Lectures 24 hoursLaboratory sessions 10 hoursTests and examinations 5 hoursTest and exam preparation 47 hoursLab preparation/follow-up 10 hoursAssessment 30 hoursLecture preparation and follow-up 24 hoursTotal 150 hours
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.
(1) MSCI110 or 15 points STAT (2) 15 points of MSCI or MGMT or MATH or MKTG
MSCI210, MGMT280, MKTG280
MGMT280, MKTG280
Girish Prayag
Grading50% 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.
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.
MKTG/MGMT/MSCI280S2 Course Outline LEARN
Class RepresentativeA class representative will be asked to volunteer in the first few weeks of class. Any problems with the course can be raised with the class rep. The class representative will take up any issues raised by class members with the course coordinator or 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 PracticeThe 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
Domestic fee $709.00
International fee $3,063.00
* 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.
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