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Course: Statistics for Economist I

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Course title Statistics for Economist I
Course code KSY/STA1
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Öhm Jan, Ing. Ph.D.
  • Rozkovec Jiří, Mgr.
  • Hovorková Valentová Vladimíra, Ing. Ph.D.
  • Matoušková Michaela, Ing.
Course content
Lectures (topics): 1. Introduction to descriptive statistics, basic statistical terms and concepts. 2. Elementary methods of data processing. 3. Descriptive measures. 4. Introduction to probability, basic terms. 5. Random event and its probability. 6. Random variable, its typology and characteristics. 7. Discrete random variables - typology. 8. Continuous random variables - typology. 9. Introduction to mathematical statistics, point estimations. 10. Interval estimations. 11. Hypotheses testing, basic terms. 12. Parametric tests. 13. Nonparametric tests. Seminars (topics): 1. Basic work with the program IBM SPSS Statistics Base. 2. Frequency distribution tables, graphical data processing. 3. Calculation and interpretation of statistical characteristics. 4. Application of the rules for calculating probabilities. 5. Distribution of random variables, the calculation of basic characteristics. 6. Distribution of discrete random variables. 7. Distribution of continuous random variables. 8. Processing data from surveys and point estimates. 9. Interval estimation, the minimum sample size. 10. Parametric tests. 11. Nonparametric tests.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
Learning outcomes
To acquaint students with the elements of descriptive statistics, probability and mathematical statistics.
Ability to use basic procedures of treating data, theory of probability and basic knowledge of data analysis obtained from statistical surveys.
Prerequisites
Knowledge of Mathematics I, Mathematics II and common computer skills.

Assessment methods and criteria
Written exam

Written credit test, participation in seminars, homeworks or tests during the semester.
Recommended literature
  • IBM SPSS Statistics Base 28.
  • ARTLOVÁ, M., BÍLKOVÁ, D., JAROŠOVÁ, E., POUROVÁ, Z. Příklady k předmětu Statistika A. 1.vyd. VŠE Praha. Praha, 2001. ISBN 80-245-0178-3.
  • CYHELSKÝ, L., KAHOUNOVÁ, J., HINDLS, R. Elementární statistická analýza. 2. vyd. Management Press. Praha, 1999. ISBN 80-7261-003-1.
  • HEBÁK, P., KAHOUNOVÁ, J. Počet pravděpodobnosti v příkladech. 5.vyd. Informatorium. Praha, 2005. ISBN 80-733-040-7.
  • Hindls, R., Arltová, M., Hronová, S., Malá, I., Marek, L., Pecáková, I., Řezanková, H. Statistika v ekonomii. Praha, 2018. ISBN 978-80-88260-09-7.
  • HINDLS, R., HRONOVÁ, S., SEGER, J., FISCHER, J. Statistika pro ekonomy 8. vydání. Professional Publishing. Praha, 2007. ISBN 978-80-86946-43-6.
  • MAREK, L. et. al. Statistika v příkladech. 1. vyd. Praha: Professional Publishing, 2013. ISBN 978-80-7431-118-5.
  • RABUŠIC, L., Soukup, P., Mareš, P. Statistická analýza sociálněvědních dat (prostřednictvím SPSS). Brno, 2019. ISBN 978-80-210-9247-1.
  • SEGER, J., HINDL, R. Statistické metody v tržním hospodářství. 1. vyd. Victoria Publishing. Praha, 2005. ISBN 80-7187-058-7.
  • SEGER, J., HINDLS, R., HRONOVÁ, S. Statistika v hospodářství. 1. vyd. ETC Publishing. Praha, 1998. ISBN 80-86006-56-5.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Technical University of Liberec, date of update: 25.04.2024 23:50.