Inhalt

[ INMAWKVSTA2 ] KV Statistics 2

Versionsauswahl
Es ist eine neuere Version 2021W dieser LV im Curriculum Bachelor's programme Computer Science 2021W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M2 - Master's programme 2. year Statistics Thomas Forstner 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science 2021S
Objectives Students understand advanced methods of inductive statistics with focus on parametric and non-parametric statistical test procedures. They can analyze data using these methods and can interpret statistical methods and results in other work. They can also perform these statistical analyses using the program package R.

Subject
  • parametric statistical tests for continuous data (one-sample t-test, two-sample-test, paired t-test)
  • sample size estimation and power-analysis for the t-test family
  • non-parametric statistical tests for continuous and/or rank data (Kolmogorov-Smirnov test, Mann-Whitney-U test, Wilcoxon test)
  • tests for categorical data (binomial test, chi-square test, Fisher's exact test, McNemar's test)
  • summarizing the results of a binary classification system (sensitivity, specifity, ROC curves, ...)
  • odds-ratio and risk-ratio (interpretation/tests)
  • summary statistics for association/correlation (Cramer's V, correlation coefficient, partial correlation coefficient) and corresponding statistical tests
  • introduction into analysis of variance
  • introduction into R
Criteria for evaluation
  • short weekly homework assignments
  • exam at the end of semester
  • each part is weighted with 50% regarding the final grade
Methods
  • lecture by instructor
  • weekly homework assignments and presentation/discussion of these assignments
  • live-coding in R
Language German/English
Study material slides provided by instructor, available in Moodle
Changing subject? No
Further information department homepage: www.systat.jku.at

continuative courses:

  • 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, ...)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment