Course: Methods of quantitative research

« Back
Course title Methods of quantitative research
Course code KMA/XMKTV
Organizational form of instruction Lecture + Lesson
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 20
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Petrášková Vladimíra, doc. RNDr. Ph.D.
  • Koldová Helena, doc. RNDr. Ph.D.
Course content
1. Random variable 2. Diskrete 3. Continuos 4. Random vector 5. Central limit theorem 6. Data processing 7. Random sample 8. Interval estimate 9. Hypothesis testing 10. Hypothesis testing 11. Comparison of more samples 12. Linear regression 13. Correlation analysis, goodness-of-fit tests 14. Contingency tables

Learning activities and teaching methods
Individual preparation for exam
  • Preparation for classes - 30 hours per semester
Learning outcomes
Random variable, characteristic of random variable, independence, random sample, limit theorems, interval estimators, parametrical tests, CLT, linear regression, ANOVA.
Basic skills in probability and statististics.
Prerequisites
basic knowledge of descriptive statistics

Assessment methods and criteria
Written examination

Detailed examination of selected topics in the subject content with respect to the retrieval character dissertation.
Recommended literature
  • Dupač, V., Hušková, M.:. Pravděpodobnost a matematická statistika. Karolinum, Praha, 1999.
  • Mrkvička T., Tlustý P.:. Úvod do teorie pravděpodobnosti. Jihočeská univerzita, České Budějovice, 2008.
  • Mrkvička T., Petrášková V.:. Úvod do statistiky. Jihočeská univerzita, České Budějovice, 2006.


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): Theory of Mathematics Education (2) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Education Study plan (Version): Theory of Mathematics Education (2) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -