Probability and statistics II

MATH-236 / 4 credits

Teacher: Goldstein Darlene

Language: English

Summary

Linear statistical methods, analysis of experiments, logistic regression.

Content

  • Simple linear regression, least squares estimation
  • t-tests, confidence intervals
  • Multiple regression
  • Model selection
  • Experimental designs
  • One-way, two-way ANOVA
  • Chi-square test
  • Logistic regression

Learning Outcomes

By the end of the course, the student must be able to:

  • Demonstrate understanding of course material
  • Apply understanding to exercise/real life scenarios

Transversal skills

  • Use a work methodology appropriate to the task.

Teaching methods

Lectures and group exercises

Expected student activities

Students should be prepared to participate in their learning by participating during lecture, asking questions, and contributing to exercise sessions

Assessment methods

Written

Supervision

Office hours Yes
Assistants Yes
Forum Yes

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

Introduction à la statistique / Morgenthaler; possibly additional works (to be announced).

Pre-recorded lectures (videos) will also be provided.

Ressources en bibliothèque

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Probability and statistics II
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Probability and statistics II
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 2 Hour(s) per week x 14 weeks
  • Type: mandatory

Reference week

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