Czech

Not applicable.

Institute of Mathematics and Descriptive Geometry (MAT)

Knowledge of basics on descriptive statistics of one- and two-dimensional populations. Knowledge of statistical tests and basics on analysis of variance, analysis of relationships and regression analysis. Knowledge of using the statistical programs.

Basics of linear algebra, calculus, probability theory, and statistics as taught in the basic mathematics courses.

Not applicable.

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations - lecture, seminar.

Submission of solutions to problems assigned by the teacher for home work. Unless properly excused, students must attend all the workshops. The result of the semester examination is given by the sum of maximum of 80 points obtained for a written test and a maximum of 20 points from the seminar.

1.Basics of descriptive statistics. Using EXCEL and STATISTICA.
2.Functional characteristics of one- and two-dimensional data.
3.Numeric characteristics of data.
4.Numeric characteristics of data. Diagnostic graphs.
5. Basics of mathematical statistics. Parametric problems with one random sample.
6.Parametric problems with two random smaples. Comparing variances and means.
7.Non-parametric tests. Goodness-of-fit tests.
8.Goodness-of-fit tests. Kolmogorov-Smirnov test.
9.Analysis of variance in a one-factor model.
10.Analysis of variance in several-factor models.
11.Analysis of relationships.
12.Regression analysis.
13.Regression analysis.

The time schedule of the seminars follows that of lectures.

Not applicable.

To acquaint the students with methods used to process statistical data, calculate point and interval estimates and test statistical hypotheses. Teach them how to perform and use regression analysis, tell whether the components of a random vector are independent or not. Next the students should be able to use analysis of variance to plan experiments.

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Not applicable.

Not applicable.

BUDÍKOVÁ, Marie, KRÁLOVÁ, Maria a MAROŠ, Bohumil: Průvodce základními statistickými metodami. Praha: GRADA, 2011. ISBN 978-80-247-3243-5. (CS)
MELOUN, Milan a MILITKÝ, Jiří: Statistické zpracování experimentálních dat. Praha. Academia, 2004. (CS)

ANDĚL, Jiří: Statistické metody. Praha: MATFYZPRESS, 1998. ISBN 80-85863-27-8. (CS)
KOUTKOVÁ, Helena a MOLL, Ivo: Základy pravděpodobnosti. Brno: AN CERM, 2008. ISBN 978-80-7207-574-7. (CS)
ŠŤASTNÝ, Zdeněk: Matematické a statistické výpočty v Microsoft Excelu. Praha: Computer Press, 1999. (CS)
WALPOLE, Ronald E. a MYERS, Raymond H.: Probability and Statistics for Engineers and Scientists. New York: Macmillan Publishing Company, 1990. ISBN 0-02-946910-4. (EN)