Czech

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Introduction to probability calculus and descriptive statistics to the extent of the master's degree program.

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The exam is in the form of a presented paper from a selected area of statistical methods or a written work aimed at solving specific tasks.

1. Probability, random variable, random vector.
2. Probability distribution for applications.
3. Exploratory analysis for processing statistical files.
4. Random selection - model and properties.
5. Fitting the probability distribution.
6. Estimation of probability distribution parameters.
7. Testing statistical hypotheses about parameters and distributions.
8. Nonparametric tests.
9. Basics of linear regression analysis.
10. Introduction to analysis of variance.
11. Introduction to categorical analysis.
12. Statistical software - features and applications.

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The aim of the course is to form the stochastic way of thinking of students and their introduction to modern stochastic methods and inductive methods of mathematical statistics, including the possibilities and application of professional statistical software in research.

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BAŠTINEC, J., MPSO sbírka příkladů, Brbo 2016, 110 stran (CS)
BAŠTINEC, J., FAJMON, B., KOLÁČEK, J., Pravděpodobnost, statistika a operační výzkum. Brno 2014. 360 stran. (CS)

Not applicable.