XASD Statistical Data Processing

Moravská vysoká škola Olomouc
zima 2023

Předmět se v období zima 2023 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. 744 s. ISBN 978-0-357-11446-9. 2020. info
  • SPIEGELHALTER, D. J. The Art of Statistics: How to Learn from Data. 1st ed. New York: Basic Books. 448 s. ISBN 978-1-5416-1851-0. 2019. info
  • ZÁHOROVÁ, V. Theory of Probability and Statistics: Study Material. Ed. 1st. Pardubice: University of Pardubice. 163 s. ISBN 978-80-7395-804-6. 2014. info
  • LEVINE, D. M., D. STEPHAN a K. A. SZABAT. Statistics for Managers Using Microsoft Excel. 7th ed. Boston: Pearson. 757 s. ISBN 0-13-306181-7. 2013. info
  • KLÍMEK, P. Applied Statistics for Economics. 1st ed. Bučovice: Martin Stříž,. 114 s. ISBN 978-80-87106-32-7. 2010. info
  • RUSKEEPÄÄ, H. Mathematica Navigator: Mathematics, Statistics, and Graphics. 3rd ed. Boston: Elsevier/Academic Press. 1136 s. ISBN 978-0-12-374164-6. 2009. info
  • ABELL, M. L., J. P. BRASELTON a A. RAFTER. Statistics with Mathematica. PAP/CDR ed. San Diego:: Academic Press. 632 s. ISBN 978-0-12-041554-0. 1999. info
    doporučená literatura
  • SALKIND, N. J. Statistics for People Who (Think They) Hate Statistics. 6th ed. Los Angeles: SAGE Publications. ISBN 978-1-5063-3383-0. 2016. info
  • ROSE, C. a MURRAY D. SMITH. Mathematical Statistics with Mathematica. 1st ed. New York: Springer. 481 s. ISBN 0-387-95234-9. 2002. 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
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