Fall 2018 - STAT 302 C100
Analysis of Experimental and Observational Data (3)
Class Number: 6627
Delivery Method: Distance Education
Course Times + Location:
Exam Times + Location:
Dec 10, 2018
7:00 PM – 10:00 PM
SWH 10041, Burnaby
Prerequisites:Any STAT course (except STAT 100) or BUEC 232.
The standard techniques of multiple regression analysis, analysis of variance, and analysis of covariance, and their role in observational and experimental studies. This course may not be used to satisfy the upper division requirements of the Statistics major or honours program. Quantitative.
- Assignment 1 10%
- Assignment 2 10%
- Assignment 3 10%
- Final Exam 70%
Cannon, R., Cobb, G.W., Hartlaub, B.A. et al. (2013). STAT2: Building models for a world of data. New York: NY, Freeman. [PACKAGE w/ LaunchPad for STAT2]
There may be an e-version of the textbook available, please check the Canvas course for details.
Department Undergraduate Notes:
Students with Disabilites:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or firstname.lastname@example.org
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.
Centre for Online and Distance Education Notes:
All CODE Courses are delivered through Canvas unless noted otherwise on the course outline.
Required Readings listed on the course outlines are the responsibility of the student to purchase. Textbooks are available for purchase at the SFU Bookstore on the Burnaby campus or online through the Bookstore's website.
All CODE courses have an Additional Course Fee of $40
Exams are scheduled to be written on the SFU Burnaby campus at the noted time and date (unless noted as a take-home exam).
If your course has a take-home exam, please refer to Canvas for further details.
Students are responsible for following all Exam Policies and Procedures (e.g., missing an exam due to illness).
This course outline was accurate at the time of publication but is subject to change. Please check your course details in your online delivery method, such as Canvas.
*Important Note for U.S. citizens: Effective Summer 2016, as per the U.S. Department of Education, programs offered in whole or in part through telecommunications, otherwise known as distance education or correspondence are ineligible for Federal Direct Loans. This also includes scenarios where students who take distance education courses outside of their loan period and pay for them with their own funding, and attempt to apply for future Federal Direct Loans.
For more information about US Direct Loans please visit and to read our FAQ on distance education courses, please go here: http://www.sfu.ca/students/financialaid/international/us-loans/federal-direct-loan.html
SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS