Simon Fraser University
Engaging the World

Course Outlines

Spring 2026 - STAT 475 D100

Applied Discrete Data Analysis (3)

Class Number: 4614

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 5 – Apr 10, 2026: Tue, 12:30–2:20 p.m.
    Burnaby

    Jan 5 – Apr 10, 2026: Fri, 12:30–1:20 p.m.
    Burnaby

  • Prerequisites:

    STAT 260 and one of STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C-.

Description

CALENDAR DESCRIPTION:

Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-way contingency tables, logistic regression, and loglinear (Poisson) regression. Students with credit for the former STAT 402 or 602 may not take this course for further credit. Quantitative.

COURSE DETAILS:

Course Outline:

This course introduces students to the most important methods for analyzing categorical data. The focus of the course is twofold: classical methods in categorical data analysis, such as chi-squared tests, and logistic and loglinear (Poisson) regression techniques.

  1. Introduction and review: likelihood methods and R
  2. Analysis with binary variables 
  3. Analysis with multicategory variables 
  4. Analysis with count response 
  5. Model selection and evaluation
  6. Further topics

Grading

  • Assignments 10%
  • Midterms 50%
  • Final Exam 40%

NOTES:

Above grading is subject to change.

Materials

REQUIRED READING:

Required Text:

Analysis of Categorical Data with R., 2nd edition by: Christopher R. Bilder and Thomas M. Loughin. Publisher: CRC 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 caladmin@sfu.ca.  


Tutor Requests:
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.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.

To learn more about the academic disciplinary process and relevant academic supports, visit: 


RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.