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Course: Statistics

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Course title Statistics
Course code KSY/ST
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
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)
  • Rozkovec Jiří, Mgr.
  • Öhm Jan, Ing. Ph.D.
  • Hovorková Valentová Vladimíra, Ing. Ph.D.
Course content
Lectures (topics): 1. One-Dimensional Analysis (basic terms, types of data, frequency distributions, descriptive statistics). 2. Theory of Probability (basic terms, charakteristics, probability distributions). 3. Mathematical Statistics (Theory of Estimation, Hypothesis Tests). 4. Dependencies of categorical and numeric variables. 5. Regression Analysis. 6. Correlation Analysis. 7. Time Series Analysis (introduction, characteristics). 8. Trend Analysis. Forecasting. 9. Seasonal and irregular components of time series. Seminars (topics): 1. Basic statistical terms, basic work with the program IBM SPSS Statistics Base. 2. One-Dimensional Analysis - manual and computer processing. 3. Description and characteristics of random variables. Distribution of random variables. 4. Point and interval estimation. Hypothesis Tests. 5. Contingency. Analysis of Variance. 6. Regression Analysis. 7. Correlation Analysis. 8. Basic characteristics of time series. 9. Trend Analysis. Seasonal adjustment of time series.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
Learning outcomes
The course introduces basic statistical tools and methods of data processing.
Students obtain knowledge in given course in accordance with requirements and course programme.
Prerequisites
Knowledge of MA1, computer skills.

Assessment methods and criteria
Combined examination

Credit - written credit test min. 60 %. Exam - written exam min. 60 %.
Recommended literature
  • IBM SPSS Statistics Base 28.
  • ARTLOVÁ, M., D. BÍLKOVÁ, E. JAROŠOVÁ a Z. POUROVÁ. Příklady k předmětu Statistika A. VŠE Praha. Praha, 2001. ISBN 80-245-0178-3.
  • CYHELSKÝ, L., J. KAHOUNOVÁ a R. HINDLS. Elementární statistická analýza. Management Press. Praha, 2001. ISBN 80-7261-003-1.
  • Hindls, R., Arltová, M., Hronová, S., Malá, I., Marek, L., Pecíková, I., Řezanková, H. Statistika v ekonomii. Praha, 2018. ISBN 978-80-88260-09-7.
  • HINDLS, R., S. HRONOVÁ a I. NOVÁK. Metody statistické analýzy pro ekonomy. Management Press. Praha, 2000. ISBN 80-7261-013-9.
  • HINDLS, R., S. HRONOVÁ, J. SEGER a J. FISCHER. Statistika pro ekonomy. Professional Publishnig. Praha, 2007. ISBN 978-80-86946-43-6.
  • JAROŠOVÁ, E. a I. PECÁKOVÁ. Příklady k předmětu Statistika B. VŠE Praha. Praha, 2005. ISBN 80-245-0680-7.
  • MAREK, L. et al. Statistika v příkladech. Praha, 2015. ISBN 978-80-7431-153-6.
  • RABUŠIC, L., Soukup, P., Mareš, P. Statistická analýza sociálněvědních dat (prostřednictvím SPSS). Brno, 2019. ISBN 978-80-210-9247-1.
  • SEGER, J., R. HINDLS a J. HRONOVÁ. Statistika v hospodářství. Professional Publishnig. 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.