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040178 UK Repetitorium to VO Statistics 1 (2015W)
Continuous assessment of course work
Labels
Detailed course description on homepage
http://homepage.univie.ac.at/erhard.reschenhofer/
http://homepage.univie.ac.at/erhard.reschenhofer/
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 14.09.2015 09:00 to Th 24.09.2015 14:00
- Deregistration possible until We 14.10.2015 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 08.10. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 15.10. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 22.10. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 29.10. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 05.11. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 12.11. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 19.11. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 26.11. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 03.12. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 10.12. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 17.12. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 07.01. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 14.01. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 21.01. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 28.01. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Quizzes and active participation in class
Minimum requirements and assessment criteria
Examination topics
Lecture notes on homepage
Reading list
R. J. Larsen and M. L. Marx: Introduction to Mathematical Statistics and its Applications. Pearson Prentice Hall
Association in the course directory
Last modified: Mo 07.09.2020 15:28
Events and their probabilities
Discrete random variables
Continuous random variables
Estimation
Testing
Linear regression