NWNR100349 Statistics (UIW)

Type
course with continuous assessment
Semester hours
4
Lecturer (assistant)
Ortega Menjivar, Lena , Laimighofer, Johannes , Laa, Ursula , Laaha, Gregor
Organisation
Statistics
Offered in
Sommersemester 2026
Languages of instruction
Deutsch
Content

- Descriptive Statistics (graphical methods, measures of central tendency and dispersion)
- Probability Theory (probability, random variables and their moments, distributions, multidimensional random variables)
- Foundations of Inferential Statistics (parameter estimation, hypothesis testing, minimum required sample size)
- Normal Distribution Methods
- Nonparametric Methods (Wilcoxon signed-rank test, Wilcoxon rank-sum test, Kruskal-Wallis test)
- Regression and Correlation Analysis (correlation coefficient, simple and multiple linear regression, ANOVA as a special case of the linear model for categorical predictors)
- Contingency Tables
Previous knowledge expected

Basic knowledge of mathematics.
Objective (expected results of study and acquired competences)

Knowledge:
Students will be able to identify uncertainties in the description of natural, technical, or socio-economic phenomena and explain basic concepts for dealing with uncertainties (probability theory). They will be able to characterize a fundamental set of statistical methods to distinguish between specific features of phenomena and random properties. These include methods of descriptive statistics (measures, graphs), inferential statistics (confidence intervals, hypothesis tests), as well as models for univariate and multivariate samples (e.g., mean comparison, linear models, nonparametric methods).

Skills:
Students will be able to correctly apply and interpret statistical methods using software in practical exercises.

Professional/Occupational Competencies:
Graduates of this module will be able to analyze data according to the requirements and questions posed by businesses, society, and science, and interpret and communicate the results. In doing so, they provide important data-based information for businesses, society, and science. They will also be able to assess the validity of results based on the assumptions of the applied methods and, if necessary, initiate further investigations using advanced methods.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.