Spring 2019 - STAT 100 D100
Chance and Data Analysis (3)
Class Number: 3420
Delivery Method: In Person
Course Times + Location:
Mo 2:30 PM – 4:20 PM
SSCC 9001, Burnaby
We 2:30 PM – 3:20 PM
SSCC 9001, Burnaby
Exam Times + Location:
Apr 18, 2019
12:00 PM – 3:00 PM
GYM CENTRAL, Burnaby
Office: P9317 (Inside P9309)
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
Lab Instructor: Marie Loughin
- Study Designs
- Representing Data
- Using Variability to Understand Probability
- Answering questions about populations
- Looking for relationships
- Models for unknown reality
This will be a concept-oriented course.
COURSE-LEVEL EDUCATIONAL GOALS:
- Participation 5%
- Quizzes 5%
- Assignments 10%
- Midterm 1 20%
- Midterm 2 20%
- *Final Exam 40%
Above grading is subject to change
Statistics: Concepts and Controversies (9th ed.), by David S. Moore and William I. Notz. Publisher: W.H. Freeman
Loose-leaf ISBN: 978-1-4641-9300-2 (available at SFU Bookstore)
Other options are available through the Macmillian Learning website.
i-Clickers will be used in this course and are available through the SFU Bookstore.
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 email@example.com
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.
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
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS