Description
:Topics include the estimation (using confidence intervals) and hypothesis testing (including non-parametric methods); correlation and the simple linear regression model (with extensions to multiple regression); and chi-square tests on qualitative data. Emphasis on understanding when and how to use (and not misuse) various methods. Hands-on experience with statistical software tools. (The lab is optional.)
Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time Professor
Date Posted (YYYY/MM/DD):
2026/05/01
Applications must be received BEFORE (YYYY/MM/DD):
2026/06/01
Expected Enrolment:
90
Approval date:
2026/05/01
Number of credits:
3
Work Hours:
39
Hourly Rate:
Enseignement / Teaching: $239.47 (2024-2025)
The academic year starts on September 1 and ends on August 31.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Course type:
C
Posting type:
Régulier / Regular
Language of instruction:
Anglais | English
Competence in second language:
Passive
Course Schedule:
Mardi | Tuesday 16:00-17:30 Jeudi | Thursday 14:30-16:00 -
Requirements:
Must have a Master's degree (PhD preferred) in statistics or in a field of study where statistical methods were applied extensively. Must also demonstrate recent professional experience directly related to the use of statistical methods in business. Must also have teaching experience, preferably in the area of the course.
Teaching mode:
Please note that the teaching method will be delivered in person.
Teaching method might incur changes due to health measures or other reasons.
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.