Course: Statistics in English

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Course title Statistics in English
Course code KEM/ASTA
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction English
Status of course unspecified
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)
  • Lukáš Ladislav, Doc. RNDr. Ing. CSc.
  • Svoboda Milan, Ing. Mgr. Ph.D.
Course content
1. Descriptive statistics. 2. Probability. 3. Random variable. 4. Special distribution of random variable. 5. Multidimensional random variable. 6. Central limit theorem. 7. Random sampling. Point estimation. 8. Interval estimation. 9. Hypotheses testing 10. Introduction to regression

Learning activities and teaching methods
Lecture with practical applications, Lecture, Practicum
  • Preparation for an examination (30-60) - 60 hours per semester
  • Preparation for comprehensive test (10-40) - 40 hours per semester
  • Contact hours - 52 hours per semester
prerequisite
professional knowledge
The course supposes the knowledge of two-semester university course of mathematics.
learning outcomes
Student is able to: - Use competently basic probability and statistical methods. - Understand the substance of these methods enough to be able to choose suitable method for concrete real situation, to verify the preconditions of its applicability. - Apply such method correctly and to interpret its results back in practice. - in the real situation student will be able to understand substantial circumstances of the examined random variables (from the point of view of the given purpose). Then by using probability and statistics he or she will be able to pursue analysis, synthesis, assessment and conclusion, including high quality presentation and warning about the limits of the probability deductions.
teaching methods
Lecture
Practicum
Lecture with practical applications
assessment methods
Combined exam
Recommended literature
  • CYHELSKÝ, L., HINDLS, R., KAHOUNOVÁ, J. Elementární statistická analýza. 2. vyd. Praha : Management Press, 1999. ISBN 80-7261-003-1.
  • Cyhelský, Lubomír; Hustopecký, Jiří; Závodský, Prokop. Příklady k základům statistiky. 1. vyd. Praha : SNTL, 1988.
  • DANIEL, W. W., TERRELL, J. C. Business statistics : for management and economics. 7th ed. Boston : Houghton Mifflin Co., 1995. ISBN 0-395-71231-9.
  • Hindls, Richard. Statistika pro ekonomy. Praha : Professional Publishing, 2006. ISBN 80-86946-16-9.
  • Reif, Jiří; Kobeda, Zdeněk. Úvod do pravděpodobnosti a spolehlivosti. 1. vyd. Plzeň : Západočeská univerzita, 2000. ISBN 80-7082-702-5.
  • Sincich, Terry. Statistics by example. 4th ed. San Francisco : Dellen, 1990. ISBN 0-02-410881-2.


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