040129 VO Statistics 1 (2021S)
Labels
REMOTE
Ausführliche Kursbeschreibung auf Homepagehttp://homepage.univie.ac.at/erhard.reschenhofer/Die Fragestunden (Tutorium) von Anja Bohatschek (anja.bohatschek@univie.ac.at) und Johanna Fritz (johanna.fritz@univie.ac.at) werden digital online in einem Moodle-Kurs angeboten.
Termine: Montag, 18:30-20:00 und Dienstag, 08:00 - 09:30
Sie können sich unter dem Link: https://moodle.univie.ac.at/course/view.php?id=211269 selbst einschreiben und teilnehmen.
Termine: Montag, 18:30-20:00 und Dienstag, 08:00 - 09:30
Sie können sich unter dem Link: https://moodle.univie.ac.at/course/view.php?id=211269 selbst einschreiben und teilnehmen.
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
Thursday
29.04.2021
15:00 - 16:30
Digital
Thursday
23.09.2021
11:30 - 13:00
Digital
Thursday
18.11.2021
15:00 - 16:30
Digital
Thursday
27.01.2022
11:30 - 13:00
Digital
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
02.03.
15:00 - 16:30
Digital
Thursday
04.03.
15:00 - 16:30
Digital
Tuesday
09.03.
15:00 - 16:30
Digital
Thursday
11.03.
15:00 - 16:30
Digital
Tuesday
16.03.
15:00 - 16:30
Digital
Thursday
18.03.
15:00 - 16:30
Digital
Tuesday
23.03.
15:00 - 16:30
Digital
Thursday
25.03.
15:00 - 16:30
Digital
Tuesday
13.04.
15:00 - 16:30
Digital
Thursday
15.04.
15:00 - 16:30
Digital
Tuesday
20.04.
15:00 - 16:30
Digital
Thursday
22.04.
15:00 - 16:30
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Written digital exam (Moodle)
Minimum requirements and assessment criteria
At least 50% of the questions must be answered correctly to pass the exam.
Examination topics
Lecture notes and many practice tests on homepage
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: Fr 12.05.2023 00:12
To introduce students to statisticsTopics include:
Logic and set theory, events and their probabilities, discrete random variables, continuous random variables, Central Limit Theorem, estimation, testing, linear regression, statistical software ROn 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 methodsTeaching and learning methods:
Lectures