bp964 Statistics

Faculty of Sports Studies
Spring 2011
Extent and Intensity
0/1. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Martin Sebera, Ph.D. (lecturer)
Guaranteed by
Mgr. Martin Sebera, Ph.D.
Prerequisites
Pouze pro anglicky mluvící studenty (ERASMUS)... Only for English speaking students (ERASMUS)... Basic knowledge of working with PC (Microsoft Excel)
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
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;
Syllabus
  • 1. Basic statistics, selective and data file
  • 2. Punctual and intervallic frequency distribution - histogram
  • 3. Fundamental statistical characteristics
  • 3. Testing hypotheses: t-test, F-test, Kolmogorov-Smirnov, Kruskal-Wallis
  • 4. Nonparametrics statistics - Wilcoxon, Mann-Whitney, chi-2
  • 5. Correlation coefficient - Pearson and Spearman correlation coefficient and his testing
  • 6. Regression
Literature
  • AGRESTI, Alan. Categorical data analysis. 2nd ed. Hoboken: John Wiley & Sons, 2002, xv, 710. ISBN 0471360937. info
  • GRAFEN, Alan and Rosie HAILS. Modern statistics for the life sciences. 1st pub. Oxford: Oxford University Press, 2002, xv, 351. ISBN 9780199252312. info
Teaching methods
lectures, homeworks
Assessment methods
writing test - solving of statistical problem with use of sw (Statistica), interpretation of results!!!
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is also listed under the following terms Autumn 2008, Spring 2009, Autumn 2009, Spring 2010.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fsps/spring2011/bp964