FSpS:de4004 Applied Math. Statistics - Course Information
de4004 Applied Mathematical Statistics
Faculty of Sports Studiesspring 2021
- Extent and Intensity
- 0/0/0. 12 credit(s). Type of Completion: zk (examination).
Taught online. - Teacher(s)
- Mgr. Martin Sebera, Ph.D. (lecturer)
- Guaranteed by
- Mgr. Martin Sebera, Ph.D.
Department of Kinesiology – Faculty of Sports Studies
Supplier department: Department of Kinesiology – Faculty of Sports Studies - Prerequisites
- dc4002 Quantitative Research Method.
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
- Sports Sciences (programme FSpS, D-SS) (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. xix, 369. ISBN 9781473924901. 2018. info
- JACKSON, Sherri L. Research methods and statistics : a critical thinking approach. Fifth edition. Boston: Cengage Learning. xx, 508. ISBN 9780357670934. 2016. info
- SEBERA, Martin, Renata KLÁROVÁ and Jiří ZHÁNĚL. Časové řady (Time series). 1. vyd. Brno: Masarykova univerzita. 53 pp. ISBN 978-80-210-6698-4. 2014. info
- SEBERA, Martin. Statistika - vícerozměrné metody (Statistics - Multivariate methods). první. Brno: Masarykova univerzita. 97 pp. ISBN 978-80-210-6692-2. 2014. 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. xiv, 370. ISBN 9780137010592. 2010. info
- HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. 3., přeprac. vyd. Praha: Portál. 695 s. ISBN 9788073674823. 2009. info
- MELOUN, Milan and Jiří MILITKÝ. Kompendium statistického zpracování dat : metody a řešené úlohy. Vyd. 2., přeprac. a rozš. Praha: Academia. 982 s. ISBN 8020013962. 2006. info
- CYHELSKÝ, Lubomír, Jana KAHOUNOVÁ and Richard HINDLS. Elementární statistická analýza. 2. vyd. Praha: Management press. 319 s. ISBN 8072610031. 1999. 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
- English
- 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 hours/term. - Teacher's information
- http://www.fsps.muni.cz/impact/aplikovana-matematicka-statistika/
- Enrolment Statistics (spring 2021, recent)
- Permalink: https://is.muni.cz/course/fsps/spring2021/de4004