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CHL5201H Position Description

Introduction to statistical techniques and reasoning; descriptive and graphical methods, estimation, tests of hypotheses, applied to both means and proportions, in both paired and independent samples; simple linear regression, introduction to analysis of variance.

Course profile

Instructor: Kevin Thorpe

Qualifications:

PhD student with a strong academic background in statistics. Experience in applied data analysis using R. Familiarity with the course materials and previous TA experience is preferred.

Duties:

a) Assist in grading assignments; b) holds tutorials; c) other duties as assigned.

Relevant Criterion:

The need to acquire experience is the more relevant criterion than previous experience in respect of this posted position

Estimated Course Enrolment: 250

Positions Available: 3

Estimated Hours: 60

Tutorials/Labs: Tut 1: Tues. 10-11:30am | Tut 2: Tues. 12-1:30pm | Tut 3: Tues. 2-3:30pm | Tut 4: Wed. 10-11:30am | Tut 5: Wed. 12-1:30pm | Tut 6: Wed. 2-3:30pm | Tut 7: Thurs. 10-11:30am | Tut 8: Thurs. 2-3:30am

Application deadline: Monday, July 18, 2022