Spring 2020 - STAT 100 D100

Chance and Data Analysis (3)

Class Number: 3966

Delivery Method: In Person


  • Course Times + Location:

    Mo 2:30 PM – 4:20 PM
    SSCC 9001, Burnaby

  • Exam Times + Location:

    Apr 20, 2020
    8:30 AM – 11:30 AM
    SSCB 9201, Burnaby

    Apr 20, 2020
    8:30 AM – 11:30 AM
    SSCB 9200, Burnaby



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 course has weekly Labs that start the first week of classes. Students are required to attend the Lab that they are registered in.


  1. Introduction
  2. Study Designs
  3. Representing Data
  4. Using Variability to Understand Probability
  5. Answering questions about populations
  6. Looking for relationships
  7. Models for unknown reality

This will be a concept-oriented course.




  • Participation: in-class participation and performance via i>clicker and in-class activity worksheets 2%
  • Online Quizzes (8-10) – via Canvas 5%
  • Lab Assignments (8) - in-class 8%
  • Midterm Exams (4) – in-class (two-stage) 40%
  • Final Comprehensive** Exam (two-stage) (**you must pass the final exam to pass the course) 45%


There will be no make-up midterms.

This course has weekly Labs that start the first week of classes. Students are required to attend the Lab that they are registered in.

Homework assignments will be assigned but not scored for marks.
Above grading is subject to change



i-Clickers will be used in this course and are available through the SFU Bookstore.


Required Textbook:

Statistics: Concepts and Controversies (9th ed.)
by David S. Moore and William I. Notz. Publisher: W.H. Freeman

Loose-leaf ISBN: 9781319124779 (available at SFU Bookstore)
Students can also access the e-text - 9781464192975 and other options through the Macmillian Learning website.

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 csdo@sfu.ca

Tutor Requests:
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.

Registrar Notes:

SFU’s Academic Integrity web site 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