Universität Wien FIND

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040132 UE Statistics 1 (2020W)

2.00 ECTS (1.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

1 Kramlinger , Moodle
2 Kramlinger , Moodle
3 Kramlinger , Moodle
4 Leymarie , Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).
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

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 testing

Methods:

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

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 testing

Methods:

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

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 testing

Methods:

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

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.

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.

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: Mo 05.10.2020 10:08