Course: Mathematics IV

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Course title Mathematics IV
Course code KMA/0OM4
Organizational form of instruction Lecture + Seminar
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Petrášková Vladimíra, doc. RNDr. Ph.D.
Course content
1.- 2. Random variable. Distribution functions. 2. Discrete random variables. Examples of discrete random variables. 3. Absolutely continuous random variables. Examples of continuous random variables. 4. Characteristics of random variables. 5. The law of large numbers. Central limit theorem. 6. Statistical file. Random choose. Data types (nominal, ordinal, metric). 7. Frequency distribution and their representation. Descriptive statistics (characteristics of position and variability, quartiles, coefficient skewness and sharpness). Estimates of normal distribution parameters. 8. General principles of hypothesis testing. Critical values, p-value. 9. - 10. Parametric tests (one-sample t-test, paired t-test, two-sample t-test, test of agreement of two variances, ANOVA). 11. - 12. Nonparametric tests (Wilcoxon tests, sign test, Kruska - Wallis test, Friedman test). 13. Correlation analysis. Goodness-of-fit tests. 14. Pivot tables.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Individual tutoring
Learning outcomes
The aim of the course is to acquaint students with the basics of probability theory and basic statistical methods.
After completing the course the student will be able to solve application examples requiring basic knowledge of probability theory. He will also be able to evaluate data obtained on the basis of quantitative research.
Prerequisites
Basic knowledge of differential and integral calculus.

Assessment methods and criteria
Oral examination, Student performance assessment, Test

During the semester, students work out assigned tasks. Exam test + oral exam.
Recommended literature
  • Mrkvička, Tomáš; Petrášková, Vladimíra. Úvod do statistiky. 1. vyd. České Budějovice : Jihočeská univerzita v Českých Budějovicích, 2006. ISBN 80-7040-894-4.
  • Mrkvička, Tomáš; Petrášková, Vladimíra. Úvod do teorie pravděpodobnosti. 1. vydání. České Budějovice : Jihočeská univerzita, 2008. ISBN 978-80-7394-115-4.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester