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Course: Statistics II

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Course title Statistics II
Course code KSY/ST2*P
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Rozkovec Jiří, Mgr.
Course content
Lectures: 1. Introduction to dependency analysis, one-way analysis of variance. 2. Measurement depending categorical data. 3. Dependence numeric variables, correlation chart. 4. Introduction to the regression analysis. 5. Capturing depending using linear regression function parameters. 6. Capturing depending using nonlinear regression function 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 the index analysis, a simple individual indexes. 13. Index analysis - individual composite indices and aggregate indices. Exercises: 1. One-way analysis of variance. 2. Measurement of addiction categorical data. 3. Correlation table, conditional characteristics. 4. Regression Analysis - introduction, regression line. 5. Description Depending regression hyperbola and parabola. 6. Description of dependence 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 nonlinear parameters. Moving averages. 12. Description of the seasonal component of time series, seasonal adjustment. 13. Index analysis.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
Learning outcomes
The course includes analysis od dependencies of numeric and categorial data, elementary methods of time series analysis and comparison of values statistical indicators.
Students obtain knowledge in given course in accordance with requirements and course programme.
Prerequisites
Knowledge in given course in accordance with requirements and course programme.
KSY/ST1*P

Assessment methods and criteria
Combined examination, Written exam

Credit prior to examination: written test at the end of the semester, participation in seminars. Exam: written test theory and examples.
Recommended literature
  • GURINOVÁ, K., HOVORKOVÁ VALENTOVÁ , V. Základy práce s programem STATGRAPHICS CENTURION XVI. Liberec, 2011. ISBN 978-80-7372-810-6.
  • HINDLS, R., HRONOVÁ, S., NOVÁK, I. Metody statistické analýzy pro ekonomy. Management Press. Praha 2000.
  • 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.
  • 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.
  • SEGER, J., HINDLS, R. Statistické metody v tržním hospodářství. Victoria Publishing. Praha 1995.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science, Humanities and Education Study plan (Version): Recreology (20) Category: Physical education and sport - Recommended year of study:-, Recommended semester: Summer
Technical University of Liberec, date of update: 19.04.2024 23:50.