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 : May 15, 2024
May 15, 2024
Closing Date : June 16, 2024
June 16, 2024
Note : Applications will be accepted until 11 : 59 PM on the day prior to the Posting End Date above
Expected Enrolment : Approval date :
Approval date : May 15, 2024
May 15, 2024
Number of credits : Work Hours :
Work Hours : Course type :
Course type : Posting type :
Posting type : Régulier / Regular
Régulier / Regular
Language of instruction :
Anglais English
Competence in second language :
Passive
Course Schedule :
Mardi Tuesday 19 : 00-22 : 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 :
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.
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