040132 UE Statistics 1 (2017W)
Continuous assessment of course work
Labels
Summary
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 Fr 08.09.2017 09:00 to Th 21.09.2017 12:00
- Deregistration possible until Sa 14.10.2017 23:59
Registration information is available for each group.
Groups
Group 2
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Monday 02.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 16.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 30.10. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 13.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 27.11. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 11.12. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 08.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Monday 22.01. 15:00 - 16:30 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
Assessment and permitted materials
3 schriftliche Tests, Tafelmeldungen, Kreuzerlliste
Minimum requirements and assessment criteria
Einführung in die grundlegenden Konzepte der Wahrscheinlichkeitstheorie,
der Schätz- und Testtheorie und der einfachen linearen Regression.
Verwendung von Statistiksoftware
der Schätz- und Testtheorie und der einfachen linearen Regression.
Verwendung von Statistiksoftware
Examination topics
Vorstellung der wichtigsten Begriffe, Übungen, Diskussion der vorgestellten Lösungsversuche in der Gruppe
Reading list
Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2015 (pdf-Downloads)Unterlagen aus dem Repetitorium im laufenden Semester.
Group 3
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 06.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 20.10. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 03.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 17.11. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 01.12. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 15.12. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 12.01. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 26.01. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression
Assessment and permitted materials
3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1
extra points for exceptional cooperation in the classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1
Minimum requirements and assessment criteria
Introduction to basic concepts of probability theory, of estimation and test theory and of simple linear regression.
Introduction to the usage of statistical software.
Introduction to the usage of statistical software.
Examination topics
The class is mainly taught as a combination of short presentations of concepts and exercises. Solutions which will be discussed in the group.
Reading list
Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2015 (pdf-Downloads)
Group 4
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 06.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 20.10. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 03.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 17.11. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 01.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 15.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 12.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 26.01. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
Probability of events
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression
Discrete random variables
Continuous random variables
Estimation
Test theory
Linear regression
Assessment and permitted materials
3 written tests (maximum of 10 points each)
extra points for exceptional cooperation in the classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1
extra points for exceptional cooperation in the classesGrading key:
points >= 16: 4
points >= 18: 3
points >= 21: 2
points >= 26: 1
Minimum requirements and assessment criteria
Introduction to basic concepts of probability theory, of estimation and test theory and of simple linear regression.
Introduction to the usage of statistical software.
Introduction to the usage of statistical software.
Examination topics
The class is mainly taught as a combination of short presentations of concepts and exercises.
Solutions which will be discussed in the group.
Solutions which will be discussed in the group.
Reading list
Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2015 (pdf-Files)
Group 5
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Anwesenheit in der ersten Übungseinheit am 02.10.2017. ist zur Teilnahmebestätigung unbedingt erforderlich! Auch der erste Termin wird für Unterrichtszwecke verwendet!
Siehe alle Infos: http://homepage.univie.ac.at/sandor.guzmics/- Monday 02.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 16.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 30.10. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 13.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 27.11. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 11.12. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 08.01. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 15.01. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 22.01. 11:30 - 13:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
Ereignisse und Wahrscheinlichkeiten
Diskrete Zufallsvariablen
Stetige Zufallsvariablen
Schätzen
Testen
Lineare Regression
Diskrete Zufallsvariablen
Stetige Zufallsvariablen
Schätzen
Testen
Lineare Regression
Assessment and permitted materials
2 TestsWeitere Infos: http://homepage.univie.ac.at/sandor.guzmics/
Minimum requirements and assessment criteria
Prozent Note
0%-49% 5
50%-63% 4
64%-75% 3
76%-89% 2
90%-100% 1
0%-49% 5
50%-63% 4
64%-75% 3
76%-89% 2
90%-100% 1
Group 6
WICHTIG: Anwesenheit in der ersten Übungseinheit am 05.10.2015 ist zur Teilnahmebestätigung unbedingt erforderlich! Für diese Einheit sind keine Beispiele vorzubereiten.
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 03.10. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 17.10. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 31.10. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 21.11. 16:45 - 18:15 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 24.11. 15:00 - 16:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 28.11. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 12.12. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Tuesday 09.01. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 19.01. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 23.01. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Aims, contents and method of the course
Combinatorics
Probability of events
Discrete random variables
Continuous random variables
Central limit theorem
Estimation: point estimation and interval estimation
Probability of events
Discrete random variables
Continuous random variables
Central limit theorem
Estimation: point estimation and interval estimation
Assessment and permitted materials
test 1 40 points
test 2 50 points
take-home problem 10 points
test 2 50 points
take-home problem 10 points
Minimum requirements and assessment criteria
have at least 50 points overall
Examination topics
Combinatorics
Probability of events
Discrete random variables
Continuous random variables
Central limit theorem
Estimation: point estimation and interval estimation
Probability of events
Discrete random variables
Continuous random variables
Central limit theorem
Estimation: point estimation and interval estimation
Association in the course directory
Last modified: Sa 05.03.2022 00:15
Diskrete Zufallsvariablen
Stetige Zufallsvariablen
Schätzen
Testen
Lineare Regression