851100 Applied statistics

Lecture and exercise
Semester hours
Lecturer (assistant)
Offered in
Wintersemester 2022/23
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
- regression and correlation analysis (correlation coefficient, simple linear regression analysis)
- contingency tables

Previous knowledge expected

basic mathematics

Objective (expected results of study and acquired competences)

At first, students know that there is uncertainty when describing natural, technical or socio-economical phenomena, and further, they know methods for modeling these uncertainties (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 enable students to handle and analyse data, practical questions and problems in a meaningful statistical way on their own (also using appropriate statistical software) 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.