| Course Unit Code | 541-0134/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Choice-compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Third Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| STA22 | doc. RNDr. František Staněk, Ph.D. |
| Summary |
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| The course deals with statistical analysis of experimental data and subsequent interpretations of the results. It provides basic information about the purpose, instruments and methods of statistical analysis. Introduces basic statistical terms, characteristics and relations between them and defines the methods of calculation. An emphasis is placed on the correct choice of methods for evaluating various types of experimental data and interpret results for use in practice. An integral part of the course is also a practical application of methods to real data in software environment for statistical computing (according to the current state of scientific field, for example - Statgraphics, SPSS, SAS, etc.), or in a spreadsheet, during exercises in the computer lab. |
| Learning Outcomes of the Course Unit |
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| The aim of the course is to acquaint students with the basics of statistical analysis and essence of the methods of statistical data analysis. The main emphasis is on the issue of the use of traditional and non-parametric methods, their application and practical use. In this course, students will learn rigorous process and evaluate their experimental data. Students will be able to choose appropriate statistical methods, apply them to real data, evaluate and interpret results. An important part of the course is also to familiarize students how to work with statistical software. |
| Course Contents |
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1. Basic statistical terms
2. Set theory – cartesian product, relation, properties of relations
3. Random event and random variable
4. Descriptive and mathematical statistics
5. Exploratory data analysis – graphical techniques and statistical tests
6. Exploratory data analysis – outliers and data transformation
7. Basic statistical characteristics – classical and robust estimators of central tendency and variability
8. Estimators of central tendency and variability for small datasets
9. Interval estimation - confidence interval
10. The significance level
11. Parametric hypothesis tests
12. Nonparametric hypothesis tests
13. Interpolation, extrapolation, approximation
14. Linear regression and correlation analysis
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| Recommended or Required Reading |
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| Required Reading: |
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| MELOUN, Milan a Jiří MILITKÝ. Statistical data analysis: A practical guide with 1250 exercises and answer key on CD. Philadelphia: Woodhead Publishing India Pvt Ltd, 2011. ISBN 978-93-80308-11-1. |
DROZDOVÁ, Jarmila. 2014. Environmentální data - metody statistického vyhodnocení. [CD]. Ostrava: ENET, VŠB-TU Ostrava.
MELOUN, Milan a Jiří MILITKÝ. Interaktivní statistická analýza dat. Vyd. 3., Praha: Karolinum, 2012. ISBN 978-80-246-2173-9.
SCHEJBAL, Ctirad, Vladimír HOMOLA a František STANĚK. Geoinformatika. Košice: Pont, 2004. ISBN 80-967-6118-8.
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| Recommended Reading: |
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BERTHOUEX, P. Mac a Linfield C. BROWN. Statistics for environmental engineers. 2nd ed. Boca Raton: Lewis Publishers, 2002. ISBN 15-667-0592-4.
OTT, Lyman a Michael LONGNECKER. An introduction to statistical methods & data analysis. 7th ed. Australia: Cengage Learning, 2016. ISBN 978-1-305-26947-7.
TRIOLA, Mario F. Essentials of statistics: understanding conventional methods and modern insights. 5th ed. Boston: Pearson, 2015. ISBN 03-219-2459-2.
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BERTHOUEX, P. Mac a Linfield C. BROWN. Statistics for environmental engineers. 2nd ed. Boca Raton: Lewis Publishers, 2002. ISBN 15-667-0592-4.
MELOUN, Milan a Jiří MILITKÝ. Kompendium statistického zpracování dat. 3. vyd. Praha: Karolinum, 2012. ISBN 978-80-246-2196-8.
OTT, Lyman a Michael LONGNECKER. An introduction to statistical methods & data analysis. 7th ed. Australia: Cengage Learning, 2016. ISBN 978-1-305-26947-7.
SCHEJBAL, Ctirad. Úvod do geostatistiky. Ostrava: VŠB-Technická univerzita, 1996. ISBN 80-707-8325-7.
TRIOLA, Mario F. Essentials of statistics: understanding conventional methods and modern insights. 5th ed. Boston: Pearson, 2015. ISBN 03-219-2459-2.
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 33 | 17 |
| Examination | Examination | 67 | 18 |