040129 VO Statistics 1 (2023S)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften

REMOTE

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 served).

Details

Language: German

Examination dates

Lecturers

Florian Huber

Classes (iCal) - next class is marked with N

The lecture will be held online (asynchronously). This means that every week(!) videos about the lecture material will be posted on Moodle(!). The videos are grouped by topic rather than by lesson, i.e. several smaller videos are provided at the beginning of a week to be viewed throughout the week.
A weekly question and answer session/tutorial is held by a study assistant. The exact time will be announced later.
If required, we also offer a question and answer session with the presenter. Due to the size of the lecture, this will probably take place online. More details will be announced on Moodle.

Thursday 02.03. 09:45 - 13:00 Digital
Tuesday 07.03. 09:00 - 13:00 Digital
Thursday 09.03. 09:45 - 13:00 Digital
Tuesday 14.03. 09:00 - 13:00 Digital
Thursday 16.03. 09:45 - 13:00 Digital
Tuesday 21.03. 09:00 - 13:00 Digital
Thursday 23.03. 09:45 - 13:00 Digital
Tuesday 28.03. 09:00 - 13:00 Digital
Thursday 30.03. 09:45 - 13:00 Digital
Tuesday 18.04. 09:00 - 13:00 Digital
Thursday 20.04. 09:45 - 13:00 Digital
Tuesday 25.04. 09:00 - 13:00 Digital

Information

Aims, contents and method of the course

Objective:
To introduce students to statistics

Topics include:
Logic and set theory, events and their probabilities, discrete random variables, continuous random variables, Central Limit Theorem, estimation, testing, linear regression, statistical software

On successful completion of the course, students should be able to:
Calculate probabilities and conditional probabilities, work with random variables and distribution functions, apply the Central Limit Theorem, find the bias and mean square error of estimators, test statistical hypotheses, analyze data using linear models, display data using graphical methods

Teaching and learning methods:
Lectures

Assessment and permitted materials

Written exam (16 questions)
The exams are held as digital written exams in open book format. A calculator may also be used.
The questions are provided in Moodle at the beginning of the exam and the answers are to be entered there. The exam time is 75 minutes.
One point is given for each correct answer
< 8 Points: 5
8-11 Points: 4
12-13 Points: 3
13-14 Points: 2
15-16 Points: 1

Minimum requirements and assessment criteria

The minimum requirement for a passing grade is 50%

<8 Points: 5
8-10 Points: 4
11-12 Points: 3
13-14 Points: 2
15-16 Points: 1

In order for the answers to count, detailed calculations have to be provided.

Examination topics

Lecture material: See slides and videos

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: We 22.11.2023 13:47