Course: Statistics for Economist II

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Course title Statistics for Economist II
Course code KSY/STA2
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 4
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.
  • Gurinová Kateřina, Ing. Ph.D.
  • Hovorková Valentová Vladimíra, Ing. Ph.D.
  • Öhm Jan, Ing. Ph.D.
Course content
Lectures (topics): 1. Introduction to Dependency Analysis, one-way analysis of variance. 2. Measurement depending categorical data. 3. Numeric variables dependence, correlation chart. 4. Introduction to Regression Analysis. 5. Capturing the dependence using linear regression functions in parameters. 6. Capturing the dependence using non-linear regression functions in parameters. 7. Correlation Analysis. 8. Multiple correlations, serial correlation. 9. Introduction to Time Series Analysis and characteristics of time series. 10. Methods of describing the trend component of time series. 11. Description of seasonal and random component of time series. 12. Methods of extrapolation of time series. Introduction to Index Analysis, simple individual indices. 13. Index Analysis - individual composite indices and aggregate indices. Seminars (topics): 1. One-way analysis of variance. 2. Categorical data dependence measurement. 3. Correlation table, conditional characteristics. 4. Regression Analysis - introduction, regression line. 5. Description of dependence using regression hyperbola and parabola. 6. Description of dependence using regression exponential function and other functions of nonlinear parameters. 7. Correlation Analysis. 8. Rank correlation. 9. Basic characteristics of time series. 10. Trend Analysis - line and parabola. 11. Trend Analysis - exponential function and other functions of nonlinear parameters. Moving averages. 12. Description of the seasonal component of time series, seasonal adjustments. 13. Index Analysis.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
Learning outcomes
The subject includes an elementary approach to a dependence research and methods of analyzing of numeric and categorial data, methods of time-series analysis and forecasting, index numbers.
Knowledge of basic dependence analysis methods processes of time series analysis and principles of index numbers.
Prerequisites
Knowledge of Statistics I and mathematical methods coorespoding with courses Mathematics I and II.

Assessment methods and criteria
Combined examination, Written exam

Written credit test Wtitte exam
Recommended literature
  • HINDLS, R., HRONOVÁ, S., NOVÁK, I. Metody statistické analýzy pro ekonomy. Management Press. Praha, 2000. ISBN 80-7261-013-9.
  • HINDLS, R., HRONOVÁ, S., SEGER, J., FISCHER, J. Statistika pro ekonomy. 8. vydání. Professional Publishing. Praha, 2007. ISBN 978-80-86946-43-6.
  • JAROŠOVÁ, E., PECÁKOVÁ, I. Příklady k předmětu Statistika B. Skripta VŠE Praha. Praha, 2005. ISBN 80-245-0680-7.
  • MAREK, L. et. al. Statistika v příkladech. 1. vyd. Praha: Professional Publishing, 2013. ISBN 978-80-7431-118-5.
  • SEGER, J., HINDLS, R., HRONOVÁ, J. Statistika v hospodářství. E.T.C. Publishing. Praha, 1998. ISBN 80-86006-56-5.
  • SEGER, J., HINDLS, R. Statistické metody v tržním hospodářství. Victoria Publishing. Praha, 1995. ISBN 80-7187-058-7.


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