851111 Statistics (AS)


Type
Lecture
Semester hours
2
Lecturer (assistant)
Organisation
Offered in
Sommersemester 2021
Languages of instruction
Deutsch

Content

- Beschreibende Statistik (grafische Methoden, numerische Kenngrößen)
- Wahrscheinlichkeitsrechnung (Wahrscheinlichkeitsbegriff, Zufallsgrößen, Verteilungen, Verteilungs- und Dichtefunktionen, Quantile)
- Grundlagen der schließenden Statistik (Parameterschätzung, Hypothesentests)
- Ausgewählte statistische Testverfahren für die 1- und 2-Stichprobensituation
- Varianzanalyse (einfache, zweifache Varianzanalyse)
- Regressions- und Korrelationsanaylse (Korrelationskoeffizient, einfache lineare Regression)
- Nichtparametrische Verfahren (Wilcoxon-Vorzeichen-Rangtest, Wilcoxon-Rangsummen-Test, Kruskal-Wallis-Test)
- Kontingenztafeln

Previous knowledge expected



Objective (expected results of study and acquired competences)

At first the students should realize the uncertainty when describing natural, technical or socio-economical phenomena and methods should be offered to him for modelling (applied probability). The discussed models and methods for describing existing or observed data, for estimating parameters and for testing hypothesis on models and parameters should help the student to handle and analyse data, practical questions and problems in a reasonable statistical way for his own and to judge statistical results in a correct way.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.