Spring 2022 - STAT 100 D100
Chance and Data Analysis (3)
Class Number: 6694
Delivery Method: In Person
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 Coordinators: Marie Loughin/Harsha Perera
This course will run in-person. I am trying to arrange for audio recording. I will be using Canvas and posting the slides used in class both before and after each lecture. I do not expect to be using zoom. The exams will be in-person and quizzes will be short 10 or 15 minute items conducted in the last few minutes of a class.
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 Homework 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. Publisher MacMillan Learning
*Online learning platform Achieve recommended, but NOT required.
Book is available through the SFU Bookstore
Department Undergraduate Notes:
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.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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
TEACHING AT SFU IN SPRING 2022
Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place. Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware 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 may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (firstname.lastname@example.org or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.