[ INBIPVOSTAT ] VL Statistics

(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Computer Science Thomas Forstner 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Computer Science 2022W
Objectives Students can apply basic methods of descriptive and inductive statistics on their own. They can analyze data using these methods and can interpret statistical methods and results in other work.
Subject descriptive statistics:

  • graphical methods for presenting data
  • tables as tool to present data
  • summary statistics for location and variation
  • summary statistics for bivariate data
  • simple linear regression

introduction to probability theory:

  • combinatorics
  • probability according to Laplace
  • conditional probability and Bayes' theorem
  • random variables
  • important distributions in statistics (binomial distribution, hypergeometric distribution, Poisson distribution, normal distribution, chi-square distribution, t-distribution, F-distribution)

inductive statistics:

  • point estimation of parameters
  • confidence intervals for means and proportions
  • introduction to statistical test theory (t-test family, chi-square test, Fisher's exact test)
Criteria for evaluation exam at the end of semester
Methods lecture by instructor
Language German
Study material slides provided by instructor, available in Moodle

additional literature:

  • Bortz, J.: Statistik für Human- und Sozialwissenschaftler. Springer Verlag, in der aktuellen Auflage.
  • Fahrmeir, L.; Künstler, R.; Pigeot, I.: Statistik – Der Weg zur Datenanalyse. Springer Verlag, in der aktuellen Auflage.
  • Sachs, L; Hedderich J.: Angewandte Statistik. Springer Verlag, in der aktuellen Auflage
  • or any other introductory book to statistics
Changing subject? No
Further information department homepage:

continuative courses:

  • Statistics 2 (advanced parametric and non-parametric statistical methods)
  • Special Topics: Computer Assisted Statistics with SPSS (introduction into the statistical software package SPSS)
  • Special Topics: Biostatistics in Clinical Research (introduction into biostatistics)
  • Special Topics: Applied Biostatistics (seminar about biostatistics)
  • Special Topics: Statistics 3 - Univariate Methods
  • Special Topics: Statistics 4 - Multivariate Methods
  • Special Topics: Statistical Coaching (support for statistical aspects regarding bachelor thesis, master thesis, ...)
Corresponding lecture (*)INBPBVOSTA1: VO Statistik 1 (4,5 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment