Spring 2020 - STAT 475 D100
Applied Discrete Data Analysis (3)
Class Number: 4014
Delivery Method: In Person
Course Times + Location:
Tu 10:30 AM – 11:20 AM
AQ 3005, Burnaby
Th 9:30 AM – 11:20 AM
AQ 3005, Burnaby
Exam Times + Location:
Apr 18, 2020
12:00 PM – 3:00 PM
TAKE HOME-EXAM, Burnaby
Prerequisites:STAT 302 or STAT 305 or STAT 350 or BUEC 333 or equivalent.
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.
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.
- Introduction and review: likelihood methods and R
- Analysis with binary variables
- Analysis with multicategory variables
- Analysis with count response
- Model selection and evaluation
- Further topics
This course is accredited under the Canadian Institute of Actuaries (CIA) University Accreditation Program (UAP). Achievement of the minimum required grades in accredited courses may provide credit for preliminary exams. Please note that a combination of courses may be required to achieve exam credit. Details of required courses and grades at Simon Fraser University are available here (https://www.cia-ica.ca/membership/university-accreditation-program---home/accredited/simon).
In addition to the specific university’s internal policies on conduct, including academic misconduct, candidates pursuing credits for writing professional examinations shall also be subject to the Code of Conduct and Ethics for Candidates in the CIA Education System and the associated Policy on Conduct and Ethics for Candidates in the CIA Education System. For more information, please visit Obtaining UAP Credits (https://www.cia-ica.ca/membership/university-accreditation-program---home/information-for-candidates/obtaining-uap-credits) and the CIA FAQ (www.cia-ica.ca/docs/default-source/miscellaneous/uap/2018-uap-faq-and-career-brochure.pdf).
- Assignments 10%
- Midterms 40%
- Final Exam 50%
Above grading is subject to change.
Analysis of Categorical Data with R., by: Christopher R. Bilder and Thomas M. Loughin. Publisher: CRC Press
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.
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