Spring 2027 - STAT 604 G100
Analysis of Experimental and Observational Data (3)
Class Number: 2073
Delivery Method: In Person
Overview
-
Course Times + Location:
Jan 5 – Apr 12, 2027: Mon, 2:30–3:20 p.m.
BurnabyJan 5 – Apr 12, 2027: Thu, 2:30–4:20 p.m.
Burnaby
-
Instructor:
Joan Hu
joanh@sfu.ca
1 778 782-6714
-
Prerequisites:
Any course in Statistics. Open only to students in departments other than Statistics and Actuarial Science.
Description
CALENDAR DESCRIPTION:
The standard techniques of multiple regression analysis, analysis of variance, and analysis of covariance, and their role in experimental research. Students with credit for STAT 302 may not take this course for further credit.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.
To learn more about the academic disciplinary process and relevant academic supports, visit:
- SFU’s Academic Integrity Policy: S10-01 Policy
- SFU’s Academic Integrity website, which includes helpful videos and tips in plain language: Academic Integrity at SFU
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.