FSpS:dc4004 Applied math. statistics - Course Information
dc4004 Applied mathematical statistics
Faculty of Sports Studiesspring 2025
- Extent and Intensity
- 0/0/0. 12 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Martin Sebera, Ph.D. (lecturer)
- Guaranteed by
- Mgr. Martin Sebera, Ph.D.
Department of Physical Activities and Health Sciences – Faculty of Sports Studies
Supplier department: Department of Physical Activities and Health Sciences – Faculty of Sports Studies - Prerequisites
- Basic knowledge of working with PC (sw Statistica)
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Kinanthropology (programme FSpS, D-K) (2)
- Course objectives
- At the end of this course, students should be able to:
* understand and be able to explain basic statistic characteristics;
* use testing of hypothesis at chosen cases;
* interpret result at real examples (comparing of two groups, finding and description of dependece, evaluation of statistical model;
* use multivariate statistics (Analysis of Variance, Factoral analysis, Multidimensional Regression) - Learning outcomes
- Student will be able to:
- identify dependent and independent variables in research, characterize their properties (nominal, categorical, ordinal);
- compare parametric and nonparametric methods;
- describe the hypothesis testing process;
- identify the type of statistical procedure and decide on the used method (comparison of mean values, dependency analysis, classification and regression problem);
- interpret results as the most important part of statistical calculations;
- apply knowledge on data from your dissertation; - Syllabus
- Basic statistics, selective and data file
- Punctual and intervallic frequency distribution - histogram
- Fundamental statistical characteristics
- Testing hypotheses
- Kolmogorov-Smirnov, Kruskal-Wallis, F-test, t-test
- Nonparametrics statistics - Wilcoxon, Mann-Whitney, chi-2
- Correlation coefficient - Pearson and Spearman correlation coefficient and his testing
- Regression
- Analysis of Variance
- Factoral analysis
- Multidimensional regression
- Basic datamining methods
- Literature
- Even You Can Learn Statistics
- STINEROCK, Robert Noel. Statistics with R : a beginner's guide. First published. Los Angeles: Sage, 2018, xix, 369. ISBN 9781473924901. info
- JACKSON, Sherri L. Research methods and statistics : a critical thinking approach. Fifth edition. Boston: Cengage Learning, 2016, xx, 508. ISBN 9780357670934. info
- SEBERA, Martin, Renata KLÁROVÁ and Jiří ZHÁNĚL. Časové řady (Time series). 1. vyd. Brno: Masarykova univerzita, 2014, 53 pp. ISBN 978-80-210-6698-4. info
- SEBERA, Martin. Statistika - vícerozměrné metody (Statistics - Multivariate methods). první. Brno: Masarykova univerzita, 2014, 97 pp. ISBN 978-80-210-6692-2. info
- LEVINE, David M. and David STEPHAN. Even you can learn statistics : a guide for everyone who has ever been afraid of statistics. 2nd ed. Upper Saddle River, N.J.: FT Press, 2010, xiv, 370. ISBN 9780137010592. info
- HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. 3., přeprac. vyd. Praha: Portál, 2009, 695 s. ISBN 9788073674823. info
- MELOUN, Milan and Jiří MILITKÝ. Kompendium statistického zpracování dat : metody a řešené úlohy. Vyd. 2., přeprac. a rozš. Praha: Academia, 2006, 982 s. ISBN 8020013962. info
- CYHELSKÝ, Lubomír, Jana KAHOUNOVÁ and Richard HINDLS. Elementární statistická analýza. 2. vyd. Praha: Management press, 1999, 319 s. ISBN 8072610031. info
- Teaching methods
- lectures, class discussion, e-elearning
Work in statistical sw Statistica or SPSS. - Assessment methods
- writing test - solving of statistical problem with use of sw (Statistica, SPSS or R), interpretation of results!!!
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course is taught annually.
The course is taught: in blocks.
Information on the extent and intensity of the course: 12 hodin/semestr. - Teacher's information
- http://www.fsps.muni.cz/impact/aplikovana-matematicka-statistika/
- Enrolment Statistics (spring 2025, recent)
- Permalink: https://is.muni.cz/course/fsps/spring2025/dc4004