Fall 2022 - STAT 100 D100
Chance and Data Analysis (3)
Class Number: 4645
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
This is a concept-oriented course. Below is a summary of the main topics:
1. Study Designs: sample surveys, observational studies and experiments
2. Representing Data: numerical and graphical summaries.
3. Variability in data.
4. Answering questions about populations
5. Looking for relationships
6. Introductions to probability, confidence intervals, and hypothesis tests.
This course will be run in-person.
- Written Homework Assignments 15%
- Quizzes : Sept 19, Oct 17, Nov 14 15%
- Midterm 1 : Oct 3 15%
- Midterm 2 : Oct 31 15%
- Final Comprehensive Exam 40%
Above grading is subject to change.
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 email@example.com.
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