Fall 2022 - STAT 285 D100
Intermediate Probability and Statistics (3)
Class Number: 4637
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 2:20 PM
AQ 3003, Burnaby
We 12:30 PM – 1:20 PM
AQ 3003, Burnaby
Exam Times + Location:
Dec 7, 2022
8:30 AM – 11:30 AM
SSCK 9500, Burnaby
Prerequisites:STAT 270 and one of MATH 152, MATH 155, or MATH 158, all with a minimum grade of C-.
This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference using survey results and experimental data. Statistical model building. Elementary design of experiments. Regression methods. Introduction to categorical data analysis. Quantitative.
- Review of STAT 270 Material on Probability and Distributions
- Parameter Estimation - Method of Moments and Likelihood Estimation
- Hypothesis Testing
- Introduction to Analysis of Variance
- Introduction to Regression Analysis
- Selected Topics, such as Categorical Analysis, Nonparametric Inference, and Quality Control
- Assignments 10%
- Midterms 40%
- Final Exam 50%
Above grading is subject to change.
Probability and Statistics for Engineering and the Sciences (9th ed.) by Jay L. Devore. Publisher: Duxbury Press
Book is available through the SFU Bookstore.
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
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 firstname.lastname@example.org.
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 website 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