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| 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.
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| 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)
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| Criteria for evaluation |
exam at the end of semester
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| Methods |
lecture by instructor
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| 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
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| Changing subject? |
No |
| Further information |
department homepage: www.systat.jku.at
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, ...)
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| Corresponding lecture |
(*)INBPBVOSTA1: VO Statistik 1 (4,5 ECTS)
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