| Course Unit Code | 545-0250/05 |
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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 * | First Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Summer 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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| SOU70 | RNDr. Radmila Sousedíková, Ph.D. |
| Summary |
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| Subject concerns methods for describing sets of data, confidence intervals and tests of hypotheses, regression and correlation analysis, and time series analysis. |
| Learning Outcomes of the Course Unit |
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Generating knowledge concerning elements and methods of statistical data processing, and applying the knowledge to analysis of statistical data sets.
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| Course Contents |
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1 Collecting data
2 Frequency distribution, statistical plots
3 Basic characteristics of statistical data set
4 Point and interval estimation
5 Hypothesis testing
6 Basic methods of dependence description, analysis of variance
7 Regression analysis
8 Correlation analysis
9 Time series
10 Basic characteristics of time series
11 Time series components
12 Index numbers
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| Recommended or Required Reading |
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| Required Reading: |
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| MC CLAVE, James T., George P. BENSON and Terry SINCICH. Statistics for Business and Economics. 12th ed. Upper Saddle River, New Jersey 07458: Prentice Hall, 2014. 1016 pp. ISBN 9781292023298. |
| HINDLS, Richard aj. Statistika pro ekonomy. 8. vyd. Praha : Professional Publishing, 2007. 415s. ISBN 978-80-86946-43-6. |
| Recommended Reading: |
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| NEWBOLD, Paul, William L CARLSON and Betty THORNE. Statistics for business and economics. 8th ed., global ed. Harlow: Pearson Education, c2013, 792 p. ISBN 978-0-273-76706-0. |
| MAREK, Luboš aj. Statistika pro ekonomy: aplikace. 2. vyd. Praha: Professional Publishing, 2007. ISBN 978-80-86946-40-5. |
| 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 (33) | 17 |
| semestrální projekt | Semestral project | 33 | 17 |
| Examination | Examination | 67 (67) | 34 |
| Písemná zkouška | Written examination | 67 | 34 |