Course Unit Code | 470-4405/01 |
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Number of ECTS Credits Allocated | 6 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | Second Cycle |
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Year of Study * | First 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 | There are no prerequisites or co-requisites for this course unit |
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Name of Lecturer(s) | Personal ID | Name |
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| BRI10 | prof. Ing. Radim Briš, CSc. |
| LIT40 | Ing. Martina Litschmannová, Ph.D. |
| KRA0220 | Ing. Jan Kracík, Ph.D. |
| VRT0020 | Mgr. Adéla Vrtková |
Summary |
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This is an introductory course in statistics. The course will emphasize methods of applied statistics and data analysis. Theoretical considerations will be included to the extent that knowledge of theory is necessary for a sound understanding of methods and contributes to the development of data analysis skills and the ability to interpret results of statistical analysis. The objective of the course is to develop sufficient knowledge of statistical tools and procedures, understanding of the underlying theory on which the procedures are based, and facility in the application of statistical tools to enable the student to incorporate sound statistical methodology into other areas of his or her own work. |
Learning Outcomes of the Course Unit |
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The course is designed for graduates to gain an initial idea of the basic concepts and tasks that fall within the field of probability and statistics and were able to apply their knowledge in practice. |
Course Contents |
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1) Introduction to Probability Theory
2) Discrete random variable
3) Selected distributions of discrete random variables
4) Continuous random variable
5) Selected distributions of continuous random variables
6) Limit Theorems
7) Introduction to statistics, exploratory analysis
8) The survey, random sampling and basic sample characteristics
9) Introduction to estimation theory
10) Introduction to hypothesis testing (principle)
11) Hypotheses testing - mean, probability, variance (one-sample and two-sample tests)
12) Analysis of variance (verification normality, ANOVA and Kruskal-Wallis test)
13) Tests of independence
14) Summary |
Recommended or Required Reading |
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Required Reading: |
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Briš, R. (2011), Probability and Statistics for Engineers, VŠB-TU Ostrava, WEB: https://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf
DUMMER, R.M. (1998), Introduction to Statistical Science, VŠB-TU Ostrava, ISBN 80-7078-497-0
StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: https://statisticasoftware.wordpress.com/2012/04/12/electronic-statistics-textbook/
HILL, T. & LEWICKI, P. (2007). STATISTICS: Methods and Applications. StatSoft, Tulsa, OK. |
LITSCHMANNOVÁ, M. (2011): Vybrané kapitoly z pravděpodobnosti, elektronická skripta, dostupné online z: http://mi21.vsb.cz/modul/vybrane-kapitoly-z-pravdepodobnosti
LITSCHMANNOVÁ, M. (2011), Úvod do statistiky, elektronická skripta, dostupné online z: http://mi21.vsb.cz/modul/uvod-do-statistiky
ANDĚL, J. (2011), Základy matematické statistiky. Vyd. 3. Praha: Matfyzpress. ISBN 978-80-7378-162-0.
DUMMER, R.M. (1998), Introduction to Statistical Science, VŠB-TU Ostrava, ISBN 80-7078-497-0 |
Recommended Reading: |
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Triola, M. F. (2008). Elementary statistics with multimedia study guide. Boston: Pearson Addison Wesley. ISBN 978-0321460929.
DALGAARD, P. (2008). Introductory statistics with R. 2nd ed. New York, NY: Springer. Statistics and computing. ISBN 978-0-387-79053-4.
Rosling, H., Rosling, O., & Rönnlund, A. R. (2019). Factfulness: ten reasons we’re wrong about the world - and why things are better than you think. Sceptre. ISBN 9781473637474.
Darrell Huff, (1954) How to Lie with Statistics (illust. I. Geis), Norton, New York, ISBN 0-393-31072-8. |
ANDĚL, J. (2019), Statistické metody, Páté vydání, Praha: Matfyzpress. ISBN 978-80-7378-381-5.
HENDL, J. (2004), Přehled statistických metod zpracování dat, Praha , Portál. ISBN 80-7178-820-1.
FRIEDRICH, V. (2002), Statistika 1: vysokoškolská učebnice pro distanční studium. Plzeň: Západočeská univerzita. ISBN 80-7082-913-3.
StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com |
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 | 40 (40) | 20 |
Domácí úkoly / testy z pravděpodobnosti | Written test | 20 | 6 |
Domácí úkoly / testy ze statistiky | Other task type | 20 | 10 |
Aktivní účast | Other task type | | |
Examination | Examination | 60 | 30 |