Course: Quantitative Data Evaluation

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Course title Quantitative Data Evaluation
Course code KBI/XHKD
Organizational form of instruction no contact
Level of course Doctoral
Year of study not specified
Semester -
Number of ECTS credits 15
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Mrkvička Tomáš, doc. RNDr. Ph.D.
Course content
The content of the course varies according to the needs and test specifications of quantitative data of individual students´ projects. In general, the content includes the following topics: experimental and statistical hypothesis, random vectors, characteristics of random quantities, independence, random selection, interval estimates, parameter testing, testing with the use of the CLV, linear regression and variance analysis - ANOVA.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
Learning outcomes
The aim is to provide students with basic knowledge regarding a range of adequate evaluation methods of quantitative data obtained during pedagogical research. Students will also learn how to utilize these methods with the use of software such as Excel and STATISTIKA, and other available PC softwares.
Choice and use of adequate evaluation methods of quantitative data.
Prerequisites
Not required

Assessment methods and criteria
Student performance assessment, Combined exam

Test specifications of quantitative data of individual students´ projects.
Recommended literature
  • Mrkvička T., Petrášková V.:. Úvod do statistiky, Jihočeská univerzita, České Budějovice, 2006.
  • Petrášková V., Tlustý P.:. Úvod do počtu pravděpodobnosti, Jihočeská univerzita, České Budějovice, 1992..
  • V. Dupač, M. Hušková. Pravděpodobnost a matematická statistika, UK nakladatelství karolinum, Praha, 1999.


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): Biology Education (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Education Study plan (Version): Biology Education (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -