040132 UE Statistics 1 (2022W)
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 Mo 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Deregistration possible until Fr 14.10.2022 23:59
Registration information is available for each group.
Groups
Group 1
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Thursday
06.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
20.10.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
03.11.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
17.11.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
01.12.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
15.12.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
12.01.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
26.01.
13:15 - 14:45
Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
Saturday
28.01.
09:45 - 11:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Group 2
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Thursday
06.10.
13:15 - 14:45
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday
20.10.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
03.11.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
17.11.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
01.12.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
15.12.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
19.01.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Thursday
26.01.
11:30 - 13:00
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Saturday
28.01.
09:45 - 11:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Group 3
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Please note: attendance is mandatory at the first exercise date!
Friday
07.10.
11:30 - 13:00
Digital
Friday
21.10.
11:30 - 13:00
Digital
Friday
04.11.
11:30 - 13:00
Digital
Friday
18.11.
11:30 - 13:00
Digital
Friday
02.12.
11:30 - 13:00
Digital
Friday
16.12.
11:30 - 13:00
Digital
Friday
13.01.
11:30 - 13:00
Digital
Friday
27.01.
11:30 - 13:00
Digital
Saturday
28.01.
09:45 - 11:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Group 4
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Please note: attendance is mandatory at the first exercise date!
Friday
07.10.
13:15 - 14:45
Digital
Friday
21.10.
13:15 - 14:45
Digital
Friday
04.11.
13:15 - 14:45
Digital
Friday
18.11.
13:15 - 14:45
Digital
Friday
02.12.
13:15 - 14:45
Digital
Friday
16.12.
13:15 - 14:45
Digital
Friday
13.01.
13:15 - 14:45
Digital
Friday
27.01.
13:15 - 14:45
Digital
Saturday
28.01.
09:45 - 11:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
Presentation of solved problems and a written examination on all topics at the end of the semester.
Minimum requirements and assessment criteria
The final grade is determined as follows:
25% solved problems from the exercise sheets,
75% written examination on all topics
25% solved problems from the exercise sheets,
75% written examination on all topics
Examination topics
Contents of the topics covered
Reading list
Skripten von E. Reschenhofer zu seiner Vorlesung aus dem Sommersemester 2016
Association in the course directory
Last modified: Th 11.05.2023 11:27
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testing