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040132 UE Statistics 1 (2020W)
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 14.09.2020 09:00 to We 23.09.2020 12:00
- Deregistration possible until Sa 31.10.2020 12:00
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
- Friday 09.10. 15:00 - 16:30 Digital
- Friday 23.10. 15:00 - 16:30 Digital
- Friday 06.11. 15:00 - 16:30 Digital
- Friday 20.11. 15:00 - 16:30 Digital
- Friday 04.12. 15:00 - 16:30 Digital
- Friday 18.12. 15:00 - 16:30 Digital
- Friday 15.01. 15:00 - 16:30 Digital
- Friday 29.01. 15:00 - 16:30 Digital
Aims, contents and method of the course
Assessment and permitted materials
There is a written examination on each topic and a written examination on all topics.
Minimum requirements and assessment criteria
The final grade is determined as follows:
10% written examination on each topic,
50% written examination on all topics
10% written examination on each topic,
50% written examination on all topics
Group 2
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Friday 09.10. 16:45 - 18:15 Digital
- Friday 23.10. 16:45 - 18:15 Digital
- Friday 06.11. 16:45 - 18:15 Digital
- Friday 20.11. 16:45 - 18:15 Digital
- Friday 04.12. 16:45 - 18:15 Digital
- Friday 18.12. 16:45 - 18:15 Digital
- Friday 15.01. 16:45 - 18:15 Digital
- Friday 29.01. 15:00 - 16:30 Digital
Aims, contents and method of the course
Objectives:Exercises with respect to the basics of statistics.Contents:1. Event spaces & probability
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testingMethods:Completely onine via Moodle.
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testingMethods:Completely onine via Moodle.
Assessment and permitted materials
There is a written examination on each topic and a written examination on all topics.
Minimum requirements and assessment criteria
The final grade is determined as follows:
10% written examination on each topic,
50% written examination on all topics
10% written examination on each topic,
50% written examination on all topics
Group 3
max. 50 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Friday 09.10. 18:30 - 20:00 Digital
- Friday 23.10. 18:30 - 20:00 Digital
- Friday 06.11. 18:30 - 20:00 Digital
- Friday 20.11. 18:30 - 20:00 Digital
- Friday 04.12. 18:30 - 20:00 Digital
- Friday 18.12. 18:30 - 20:00 Digital
- Friday 15.01. 18:30 - 20:00 Digital
- Friday 29.01. 15:00 - 16:30 Digital
Aims, contents and method of the course
Objectives:Exercises with respect to the basics of statistics.Contents:1. Event spaces & probability
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testingMethods:Completely onine via Moodle.
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testingMethods:Completely onine via Moodle.
Assessment and permitted materials
There is a written examination on each topic and a written examination on all topics.
Minimum requirements and assessment criteria
The final grade is determined as follows:
10% written examination on each topic,
50% written examination on all topics
10% written examination on each topic,
50% written examination on all topics
Group 4
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 06.10. 15:00 - 16:30 Digital
- Tuesday 20.10. 15:00 - 16:30 Digital
- Tuesday 03.11. 15:00 - 16:30 Digital
- Tuesday 17.11. 15:00 - 16:30 Digital
- Tuesday 01.12. 15:00 - 16:30 Digital
- Tuesday 15.12. 15:00 - 16:30 Digital
- Tuesday 12.01. 15:00 - 16:30 Digital
- Friday 29.01. 15:00 - 16:30 Digital
Aims, contents and method of the course
The aim of the course is to provide to students elementary knowledges in probability and statistics so that they gain practical skills in statistical problem solving.Probability of events
Discrete random variables
Continuous random variables
Parametric distribution
Statistical inference.
Discrete random variables
Continuous random variables
Parametric distribution
Statistical inference.
Assessment and permitted materials
1 written test on Moodle which will consists of exercices in the same spirit as that corrected in class. The exam will be likely assesed over a range of 20 points.
Minimum requirements and assessment criteria
Grading:
1-9 => Grade 5
10-12 => Grade 4
13-15 => Grade 3
16-17 => Grade 2
18-20 => Grade 1.
1-9 => Grade 5
10-12 => Grade 4
13-15 => Grade 3
16-17 => Grade 2
18-20 => Grade 1.
Information
Examination topics
Contents of the topics covered
Reading list
Lecture script by E. Reschenhofer on his lecture from the summer semester 2016
Association in the course directory
Last modified: Fr 12.05.2023 00:12
2. Distribution function, expectation and variance
3. Discrete and continuous distributions
4. Multivariate distributions and confidence intervals
5. Statistical hypothesis testingMethods:Completely onine via Moodle.