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Coursebooks
Probabilities and statistics II
MATH-236
Lecturer(s) :
Goldstein DarleneLanguage:
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
Resources
Bibliography
Introduction à la statistique / Morgenthaler
Ressources en bibliothèque
In the programs
- SemesterSpring
- Exam formWritten
- Credits
4 - Subject examined
Probabilities and statistics II - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
- SemesterSpring
- Exam formWritten
- Credits
4 - Subject examined
Probabilities and statistics II - Lecture
2 Hour(s) per week x 14 weeks - Exercises
2 Hour(s) per week x 14 weeks
- Semester
Reference week
Mo | Tu | We | Th | Fr | |
---|---|---|---|---|---|
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | CM1 | ||||
14-15 | |||||
15-16 | CM1 | ||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Lecture
Exercise, TP
Project, other
legend
- Autumn semester
- Winter sessions
- Spring semester
- Summer sessions
- Lecture in French
- Lecture in English
- Lecture in German