| Course Unit Code | 310-2305/01 |
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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 * | |
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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 | English |
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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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| KAH14 | Mgr. Marcela Rabasová, Ph.D. |
| Summary |
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| Introduction to probability, Discrete and continuous random variables, Numerical characteristics of random variables, Exploratory data analysis, Point and interval estimations of parameters, Hypothesis testing, Simple linear regression model. |
| Learning Outcomes of the Course Unit |
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| This is an introductory course in statistics. The aim is to understand of statistical methods for data analysis. Students will be able to interpret results of basic statistical analysis in a selected statistical software. The theory behind statistical tools and procedures will be described as well. Lectures will be in English. It is necessary to complete Mathematics 1 and Mathematics 2 courses or their equivalents. |
| Course Contents |
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1. Introduction to probability
2. Discrete and Continuous random variables
3. Numerical characteristics of random variables
4. Exploratory data analysis
5. Point and interval estimations of parameters
6. Hypothesis testing
7. Simple linear regression model. |
| Recommended or Required Reading |
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| Required Reading: |
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W.J. DeCoursey: Statistics and Probability for Engineering Applications With Microsoft(R) Excel. Copyright © 2003 Elsevier Inc. ISBN 978-0-7506-7618-2. Available on-line: http://www.sciencedirect.com/science/book/9780750676182
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| W.J. DeCoursey: Statistics and Probability for Engineering Applications With Microsoft(R) Excel. Copyright © 2003 Elsevier Inc. ISBN 978-0-7506-7618-2. Available on-line: http://www.sciencedirect.com/science/book/9780750676182 |
| Recommended Reading: |
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Radim Briš, Petra Škňouřilová. STATISTICS I. VŠB - Technical University of Ostrava, Ostrava 2007.
Atwood C. L. Hits per Trial: Basic Analysis of Binomial Data. Department of Energy, 1994 ; DOI: 10.2172/10191270. Available on-line: http://www.osti.gov/bridge/product.biblio.jsp?osti_id=10191270 |
Radim Briš, Petra Škňouřilová. STATISTICS I. VŠB - Technical University of Ostrava, Ostrava 2007.
Atwood C. L. Hits per Trial: Basic Analysis of Binomial Data. Department of Energy, 1994 ; DOI: 10.2172/10191270. Available on-line: http://www.osti.gov/bridge/product.biblio.jsp?osti_id=10191270
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Tasks are not Defined |