Course: Statistics

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Course title Statistics
Course code KGI/3STAT
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 2
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Popelka Jan, Ing. Ph.D.
Course content
1. Descriptive statistics: Basic concepts. Population and sample. Frequency tabulation. Graphical presentation of data. 2. Descriptive statistics: Measures of location, variability, shape. Identification and rejection of outliers, Box-and-Whisker plot. Probability: Basic concepts of probability theory. Discrete probability distributions. Continuous probability distributions. Quantiles. 3. Statistical induction: Relationship between population and sample, sampling methods, sample properties. Estimations of population parameters, point estimations, interval estimations. Hypothesis testing. Testing procedure, null and alternative hypothesis, errors of the first and second kind. One-sample and two-sample parametric tests. 4. Correlation analysis: Linear Correlation Coefficient, Spearman Rank-Order Correlation Coefficient. Testing significance of Correlation Coefficient and Spearman Rank-Order Correlation Coefficient. Scatter plot. Simple regression: Linear regression, least square method, residual SD, regression coefficients. Alternative models (linear, logarithmic, hyperbolic, polynomial). Variable transformations. Model selection (R-squared, R-squared adjusted, model selection via test). Model control (testing of regression model and regression coefficients). General linear model. Residual analysis (randomness, independency, normality, homoskedasticity of residuals). Prediction.

Learning activities and teaching methods
unspecified, unspecified
  • unspecified - 10 hours per semester
Recommended literature
  • Hendl J. Přehled statistických metod zpracování dat. Portál, Praha, 2006. ISBN 80-7367123-9.
  • HENDL, Jan. Statistika v aplikacích.
  • HUFF, D. Jak lhát se statistikou. Brána, Praha, 2013. ISBN 978-80-7243-623-1.
  • Popelka, Jan, Synek, Václav. Úvod do statistické analýzy dat. FŽP, Ústí nad Labem, 2009. ISBN 978-80-7414-117-1.
  • ROSENTHAL, J. S. Zasažen bleskem: podivuhodný svět pravděpodobností. Academia, Praha, 2008. ISBN 978-80-200-1645-4.
  • ROSLING, H., ROSLING, O. a A. ROSLING RÖNNLUND. Faktomluva: deset důvodů, proč se mýlíme v pohledu na svět - a proč jsou věci lepší, než vypadají. Jan Melvil Publishing, Brno, 2013. ISBN 978-80-7555-056-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Environment Study plan (Version): Environmental Protection (C_3) Category: Ecology and environmental protection 2 Recommended year of study:2, Recommended semester: Winter