851106 Statistics

Exercise course
Semester hours
Lecturer (assistant)
Leibetseder, Lukas , Tintner-Olifiers, Johannes , Medl, Matthias , Scharl-Hirsch, Theresa , Hrobath, Bernhard
Offered in
Sommersemester 2023
Languages of instruction


descriptive statistics (graphical methods, characteristics)

applied probability (probability, random variate and its moments, distributions, probability plot, multidimensional random variates, central limit theorem)

basics of statistical analysis (parameter estimation, hypothesis testing)

methods for normal distribution

analysis of variance (one-way ANOVA, two-way ANOVA)

multiple comparisions (Bonferroni-Holm test, Scheffe test, Tukey test, Newman-Keuls test, LSD test)

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

quality assurance

Previous knowledge expected

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.