Fall 2022 - STAT 100 D900

Chance and Data Analysis (3)

Class Number: 4801

Delivery Method: In Person


  • Course Times + Location:

    Mo 10:30 AM – 11:20 AM
    SRYC 5280, Surrey

    Th 10:30 AM – 12:20 PM
    SRYC 5280, Surrey



Chance phenomena and data analysis are studied through simulation and examination of real world contexts including sports, investment, lotteries and environmental issues. Intended to be particularly accessible to students who are not specializing in Statistics. Students may not obtain credit for STAT 100 if they already have credit for - or are taking concurrently - any upper division STAT course. Quantitative/Breadth-Science.


This course may be applied to the Certificate in Liberal Arts

STAT Workshop Coordinator: Marie Loughin


This is a concept-oriented course. Below is a summary of the main topics:

1. Producing data: Where do data come from?
2. Summarizing data: Graphs and numbers
3. Normal distributions: Why are they important?
4. Looking for relationships
5. Chance and probability
6. Statistical inference

This course will be run in-person.


  • Written Assignments 25%
  • Quizzes 15%
  • Midterm 1 15%
  • Midterm 2 15%
  • Final Comprehensive Exam 30%


Above grading is subject to change.



Statistics: Concepts and Controversies, Tenth Edition| ©2020 David S. Moore; WIlliam I Notz

*Online learning platform Achieve recommended, but NOT required.

Book is available through the SFU Bookstore.

Department Undergraduate Notes:

Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or caladmin@sfu.ca.  

Tutor Requests:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.

Registrar Notes:


SFU’s Academic Integrity website http://www.sfu.ca/students/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