Course Unit Code | 470-8726/01 |
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Number of ECTS Credits Allocated | 4 ECTS credits |
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Type of Course Unit * | 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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| BRI10 | prof. Ing. Radim Briš, CSc. |
| LIT40 | Ing. Martina Litschmannová, Ph.D. |
| KRA0220 | Ing. Jan Kracík, Ph.D. |
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 |
Learning Outcomes of the Course Unit |
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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. |
Course Contents |
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Exploratory data analysis, types of variables,
Exploratory analysis of single discrete and continuous variables, summarization of distributions.
Probability theory.
Random variable and probability distribution, expected value operator and moments of probability distribution,
joint and conditional distributions.
Probability models for discrete and continuous random variables.
Sampling distributions of the mean, distribution of sample proportion
Central Limit Theorem.
Point and interval estimation.
Hypothesis testing, pure significance tests, p-values Two sample tests, paired difference tests.
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Recommended or Required Reading |
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Required Reading: |
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[1]BRIŠ, R.(2011), Probability and Statistics for Engineers, skripta, dostupné z: http://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf |
[1]BRIŠ R., LITSCHMANNOVÁ M.,STATISTIKA I. pro kombinované a distanční studium, Elektronické skriptum VŠB TU Ostrava,2004.
[2]BRIŠ R., LITSCHMANNOVÁ M. (2007), STATISTIKA II., E-learningový prvek pro podporu výuky odborných a technických předmětů, v rámci projektu CZ.O4.01.3/3.2.15.2/0326, VŠB TU Ostrava, ISBN 978-80-248-1482-7, dostupné z: http://www.elearn.vsb.cz/archivcd/FEI/STA2/
[3]LITSCHMANNOVÁ, M. (2012), Úvod do statistiky, skripta, dostupné z: http://mi21.vsb.cz/modul/uvod-do-statistiky
[4]LITSCHMANNOVÁ, M. (2012), Vybrané kapitoly z pravděpodobnosti, skripta, dostupné z: http://mi21.vsb.cz/modul/vybrane-kapitoly-z-pravdepodobnosti
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Recommended Reading: |
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[1]Briš R., Škňouřilová P., STATISTICS I, 2007, Development Project no.391, electronic script.
[2]Dummer R.M.; Introduction to Statistical Science, skriptum VŠB-TUO FEI,
1998, ISBN 80-7078-497-0 |
[1]LIKEŠ J., MACHEK J., Počet pravděpodobnosti, SNTL Praha 1981.
[2]LIKEŠ J., MACHEK J., Matematická statistika, SNTL Praha 1983.
[3]LIKEŠ J., CYHELSKÝ L. HINDLS R.; Úvod do statistiky a pravděpodobnosti, 1994, VŠE Praha, ISBN 80-7079-028-8.
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Planned learning activities and teaching methods |
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Lectures, Tutorials, Project work |
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 | 15 |
Examination | Examination | 60 | 18 |