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Course Description

This course makes a comprehensive examination of both multiple regression and analysis of variance, the most commonly used statistics tools used in business, emphasizing model appropriateness for given business problem and followed by a critical analysis of any assumptions and an assessment of the model accuracy. A real-life project is used to demonstrate the practical use of the techniques. The course is supported by appropriate statistical software.

Notes

The prerequisites may be waived if the student has specific professional experience. Registered certificate program students without the course prerequisites who wish to take this course, may contact the Program Coordinator, Melissa Johnson, at m1johnso@torontomu.ca for more information.

Supplies to be purchased by the student: Software and calculator specifications will be announced at the first session.

 

This course is fully online and asynchronous, meaning you typically will not have to be online at specific times. You will engage in course-related activities through online tools such as announcements, discussions, and email. Your course learning will be based on weekly module content and activities that you can go through independently. Note: there are still deadlines for assignment submissions, and you may be expected to participate in discussion board interactions with your peers on a regular basis.
 
Your instructor may also include occasional scheduled sessions for Q&As and other discussion activities, using web conferencing tools such as Zoom and Google Meet. More details will be included in your course outline available on the first day of class.

Requisites

Prerequisite: CQMS 202 or QMS 210 or QMS 230 or  Direct Entry

Relevant Programs

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Course Sections
Class Number
1575
Type
LEC
Dates
May 06, 2024 to Aug 02, 2024
Delivery Options
Online  
Fees
Domestic Fee non-credit $582.11 Click here to get more information
Domestic Out of Province Fee non-credit $0.00 Click here to get more information
International Fee non-credit $0.00 Click here to get more information