MVŠO:XASD Statistical Data Processing - Informace o předmětu
XASD Statistical Data Processing
Moravská vysoká škola Olomouczima 2024
Předmět se v období zima 2024 nevypisuje.
- Rozsah
- 0/3/0. 4 kr. Ukončení: zk.
- Vyučující
- Mgr. Jan Wossala, Ph.D. (cvičící)
- Garance
- Mgr. Jan Wossala, Ph.D.
Moravská vysoká škola Olomouc
Dodavatelské pracoviště: Moravská vysoká škola Olomouc - Omezení zápisu do předmětu
- Předmět je otevřen studentům libovolného oboru.
- Cíle předmětu
- The course introduces students to basic statistical concepts and the most important methods with an emphasis on understanding the meaning of statistical activities. The objective of the course is to create or, more precisely, to consolidate the basics of statistical literacy among the students as well as their understanding of statistical data and indicators and to familiarise them with basic statistical methods. After completing the course, the student: masters basic statistical processing of data set in the form of tables, graphs and numerical characteristics; understands basic probability concepts; is able to solve probability problems based on the explained theory; is able to generate realisation of selected types of random variables using statistical software, has knowledge of the basics of statistical data analysis and their presentation.
- Osnova
- 1. Combinatorics.
- 2. Probability phenomena.
- 3. Random variables.
- 4. Basic types of probability distributions of discrete random variables.
- 5. Basic types of probability distributions of continuous random variables.
- 6. Random vectors.
- 7. Statistical data set with one statement.
- 8. Statistical data set with two statements.
- 9. Regression and correlation analysis.
- 10. Time series.
- 11. Inductive statistics.
- 12. Testing of statistical hypotheses.
- Literatura
- povinná literatura
- MENDENHALL, W., R. J. BEAVER a B. M. BEAVER. Introduction to Probability and Statistics: Metric Version. 15th ed. Boston: Cengage, 2020, 744 s. ISBN 978-0-357-11446-9. info
- SPIEGELHALTER, D. J. The Art of Statistics: How to Learn from Data. 1st ed. New York: Basic Books, 2019, 448 s. ISBN 978-1-5416-1851-0. info
- ZÁHOROVÁ, V. Theory of Probability and Statistics: Study Material. Ed. 1st. Pardubice: University of Pardubice, 2014, 163 s. ISBN 978-80-7395-804-6. info
- LEVINE, D. M., D. STEPHAN a K. A. SZABAT. Statistics for Managers Using Microsoft Excel. 7th ed. Boston: Pearson, 2013, 757 s. ISBN 0-13-306181-7. info
- KLÍMEK, P. Applied Statistics for Economics. 1st ed. Bučovice: Martin Stříž,, 2010, 114 s. ISBN 978-80-87106-32-7. info
- RUSKEEPÄÄ, H. Mathematica Navigator: Mathematics, Statistics, and Graphics. 3rd ed. Boston: Elsevier/Academic Press, 2009, 1136 s. ISBN 978-0-12-374164-6. info
- ABELL, M. L., J. P. BRASELTON a A. RAFTER. Statistics with Mathematica. PAP/CDR ed. San Diego:: Academic Press, 1999, 632 s. ISBN 978-0-12-041554-0. info
- doporučená literatura
- SALKIND, N. J. Statistics for People Who (Think They) Hate Statistics. 6th ed. Los Angeles: SAGE Publications, 2016. ISBN 978-1-5063-3383-0. info
- ROSE, C. a MURRAY D. SMITH. Mathematical Statistics with Mathematica. 1st ed. New York: Springer, 2002, 481 s. ISBN 0-387-95234-9. info
- Metody hodnocení
- Course credit: active participation in seminars + ongoing tests. Examination: written test (60 % of the overall grade) + oral examination (40% of the overall grade).
- Vyučovací jazyk
- Angličtina
- Další komentáře
- Předmět je vyučován každoročně.
Výuka probíhá každý týden.
- Permalink: https://is.mvso.cz/predmet/mvso/zima2024/XASD