851109 Statistics (UBRM)
- Type
- Lecture
- Semester hours
- 2
- Lecturer (assistant)
- Organisation
- Offered in
- Sommersemester 2023
- Languages of instruction
- Deutsch
- Content
-
- Descriptive statistics (graphical methods, characteristics)
- Applied probability theory
- Basics of statistical analysis (parameter estimation, hypothesis testing)
- Methods for normal distribution
- Analysis of variance (one-way ANOVA, two-way ANOVA)
- Regression and correlation analysis (correlation coefficient, simple linear regression analysis)
- Nonparametric methods (chisquare test, Kolmogorov-Smirnov test, Wilcoxon signed rank test, Wilcoxon rank test, Kruskal-Wallis test, sign test)
- Contingency tables (crosstabs)
- Previous knowledge expected
-
Introdoctory mathematics course
- Objective (expected results of study and acquired competences)
-
At first the student 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 senseful statistical way for his own (also using appropriate statistical software) and to judge statistcal results in a correct way.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.