Course: Statistical methods in kinantropology

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Course title Statistical methods in kinantropology
Course code KTS/STMK
Organizational form of instruction Lecture + Seminary
Level of course Bachelor
Year of study 2
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Tlustý Pavel, prof. RNDr. CSc.
  • Tlustý Tomáš, PhDr. Ph.D.
Course content
Measurement champaign and its accuracy. 2. Basic statistical characteristics. 3. Characteristics of central tendency (arithmetic mean, modus, median). 4. Characteristics distribution (standard deviation, range, etc ..). 5. Norms determination in physical education with usage percentile. 6. Norms determination in physical education with usage Z-points. 7. Approach sorts and scales sorts. 8. Hypothesis establishment and verification 9. Quantitative statistical methods 10. Quantitative statistical methods 11. Quantitative statistical methods 12. Qualitative statistical methods 13. Usage computer techniques for longtime monitoring performance in physical education. 14. Usage computer techniques for longtime monitoring performance in sport.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Written action (comprehensive tests, clauses), E-learning, Work with multi-media resources (texts, internet, IT technologies)
Learning outcomes
Identification with fundamental construct in statistical data processing and methodology patterns area.Behaves above all activities connected with future diploma work production.
Independently design and evaluate statistical investigation in the area physical education and sport.
Prerequisites
Rudiment work with computer and survey mathematics to the extent of curriculum on middle school.

Assessment methods and criteria
Written examination, Essay, Seminar work, Interim evaluation

Theoretical knowledge and practical skill given to problems to the extent of go through matters and educational literature. Commit seminar work.
Recommended literature
  • Blahuš, P. K systémovému pojetí statistických metod v metodologii empirického výzkumu chování, Karolinum, Praha. 1996.
  • Čepička, L. Statistická analýza dat pomocí programu MS EXCEL 5.0, PF, Plzeň. 1997.
  • Gajda, V., Zvolenská, J. Úvod do statistických metod, PF, Ostrava. 1982.
  • Vincent, W. J. Statistic in kinesiology. Champaign: Human Kinetic.. 1995.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Education Study plan (Version): Physical education and sports for education (1) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): Teacher training in physical education (1) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Teacher training in physical education (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): Teacher training in physical education (1) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): Physical education and sports (3) Category: Physical education and sport 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): Teacher training of physical education for secondary schools (single-subject) (1) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): Physical education and sports (4) Category: Physical education and sport 3 Recommended year of study:3, Recommended semester: Winter