Course: Theories of Probability and Statistics (in English)

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Course title Theories of Probability and Statistics (in English)
Course code KMI/KTPSA
Organizational form of instruction Lecture
Level of course Bachelor
Year of study 2
Semester Winter
Number of ECTS credits 6
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, prof. RNDr. Ph.D.
Course content
Lectures: 1 - introduction to the course, assignments; basic terminology 2 - probability 3 - random variables 4 -distribution 5 -descriptive statistics 6 -estimation and confidence intervals 7 - introduction to hypothesis testing 8 -one sample t-test 9 - independent two sample t-test and paired t-test 10 - one-way ANOVA with fixed effects 11 - comparison among means and multiple comparisons 12 - nonparametric methods 13 - regression and correlation analysis Seminars: 1 - introduction to the course, assignments; basic terminology 2 - probability 3 - random variables 4 - distribution 5 - descriptive statistics 6 - estimation and confidence intervals 7 - introduction to hypothesis testing 8 - one sample t-test 9 - independent two sample t-test and paired t-test 10 - one-way ANOVA with fixed effects 11 - comparison among means and multiple comparisons 12 - nonparametric methods 13 - regression and correlation analysis

Learning activities and teaching methods
Monologic (reading, lecture, briefing)
Learning outcomes
The goal of this course is to introduce basic statistical methods together with appropriation of inductive way of thinking with aim to understand meaning of statistical methods during the solving practical problems.
Students understand the basic principles of statistical methods and probability. Students are able to carry out hypothesis testing and regression analysis.
Prerequisites
The course has no prerequisities.

Assessment methods and criteria
Combined exam

Credit Requirements: Attendance in lab Examination Requirements: To pass written part of exam you have to solve absolute majority of problems.
Recommended literature
  • Anděl, J. Základy matematické statistiky. Praha : MFF UK, 2005.
  • ČERMÁKOVÁ, A., STŘELEČEK, F. Statistika I.. České Budějovice : JU v Českých Budějovicích, 2005.
  • DRAPER, N., SMITH, H.:. Applied Regression analysis. Wiley and Sons, New York, 1981.
  • HENDL, JAN. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha, Portál, 2004.


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