Summer 2020 - STAT 100 D100

Chance and Data Analysis (3)

Class Number: 2859

Delivery Method: In Person


  • Course Times + Location:

    Tu 2:30 PM – 4:20 PM

  • Exam Times + Location:

    Aug 12, 2020
    8:30 AM – 11:30 AM
    Location: TBA

  • Instructor:

    Gaitri Yapa
    Office: SC-P9317



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.




  • Written Assignments (4) – via Crowdmark - Usually due on Friday afternoon 16%
  • WeBWorK Assignments (4) - Usually due on Tue before class 16%
  • Quizzes (4) – during class time (remote) - Tue June 02 (Practice Quiz), Tue June 16, Tue June 30, Tue July 14, Tue July 28 18%
  • Midterm Exam – during class time (remote) - Tue June 23, 2:30-4:20 pm 20%
  • Final Comprehensive** Exam (remote) (**you must pass the final exam to pass the course) - Wed Aug 12, 8:30-11:30 am 30%


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.
Above grading is subject to change


Student participation in this course will require  computer equipment and a reliable internet connection. You may be requested to turn on audio and/or video during certain instructional activities, that may include tests and examinations, though exceptions will be accommodated. If you request such an exception for personal reasons, you must do so in writing to the course instructor by May 20.



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

Tutor Requests:
Students looking for a Tutor should visit We accept no responsibility for the consequences of any actions taken related to tutors.

Registrar Notes:


SFU’s Academic Integrity web site 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.


Please note that all teaching at SFU in summer term 2020 will be conducted through remote methods. Enrollment in this course acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning ( or 778-782-3112) as soon as possible to ensure that they are eligible and that approved accommodations and services are implemented in a timely fashion.