Course: Statistics

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Course title Statistics
Course code KKM/QSTAT
Organizational form of instruction Lecture
Level of course Bachelor
Year of study 1
Semester Winter
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Zemek František, XXX Ph.D.
Course content
Lectures: 1) Introduction to the course, requirements, basic terminology; 2) Probability; 3) Random variable; 4) Probability distribution 5) Descriptive statistics; 6) Estimates and Confidence Intervals; 7) Introduction to hypothesis testing; 8) Single-line t-test; 9) Two-choice t-test and pair t-test; 10) One-way ANOVA; 11) Multiple comparison; 12) Nonparametric methods; 13) Regression and correlation analysis;

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
  • Class attendance - 12 hours per semester
  • Preparation for exam - 30 hours per semester
Learning outcomes
The course introduces the basic procedures for data processing. Introduces students to the probability calculus, deals with system descriptors and basic principles of inductive reasoning.
Students understand basic principles of statistical methods and probability. They are able to perform hypothesis testing and regression analysis.
Prerequisites
unspecified

Assessment methods and criteria
Combined exam, Test

Credit requirements: Active participation in lessons. Exam requirements: In order to pass the written part of the exam, it is necessary to solve the most of the given examples.
Recommended literature
  • Anděl, J. Základy matematické statistiky. Praha : MFF UK, 2005.
  • ČERMÁKOVÁ, A. Statistika II. 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.
  • ZVÁRA, K. Biostatistika. Praha : Karolinum, 1998. ISBN 80-7184-773-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Agriculture Study plan (Version): Agricultural Ecology (2017) Category: Agriculture and forestry 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Agriculture Study plan (Version): Agricultural Ecology (2017) Category: Agriculture and forestry 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Agriculture Study plan (Version): Agribussines (2014) Category: Agriculture and forestry 2 Recommended year of study:2, Recommended semester: Winter