N_StM Statistic Methods

University of Finance and Administration
Summer 2022
Extent and Intensity
2/1/0. 3 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Petr Tesař, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Petr Tesař, Ph.D.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Timetable of Seminar Groups
N_StM/vAPH: Fri 11. 2. 14:00–15:30 S24, 15:45–17:15 S24, Fri 25. 3. 17:30–19:00 S24, 19:15–20:45 S24, Fri 8. 4. 17:30–19:00 S24, 19:15–20:45 S24, P. Tesař
Prerequisites
Prerequisites are not.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
After completing the course, the student will master the methods of statistical analysis of one-dimensional and multidimensional file, including the evaluation of interdependencies. They will be able to work with key characteristics such as moment characteristics, linear. Nonlinear, nonparametric types of correlation coefficients, regression curves, etc. Will be able to perform analysis of variance simple sorting (ANOVA). He will be familiar with cluster and factor analysis of data.
Learning outcomes
Advanced knowledge of analysis of dependence of two or more variables
Syllabus
  • 1, Basic terms used in statistical data analysis 2. Advanced position characteristics, variability and concentration 3. Random variables, important discrete and continuous distributions 4. Normality testing 5. Estimation and testing of parameters 6. Analysis of variance simple sorting - ANOVA, Scheffe's method 7. Conformity testing 8. Dependence analysis 9. Regression analysis, simple correlation, nonparametric methods of correlation 10. Multiple regression, multiple and partial correlation 11. Cluster analysis 12. Principal component analysis, factor analysis
Literature
    required literature
  • BÍLKOVÁ, Diana, Petr BUDINSKÝ and Václav VOHÁNKA. Pravděpodobnost a statistika. 1. vydání. Plzeň: Aleš Čeněk, 2009, 639 pp. ISBN 978-80-7380-224-0. info
    not specified
  • Anděl,J. : Základy matematické statistiky, MATFYZPRESS, Praha 2011, ISBN 978-80-7378-162-0 Meloun,M., Militký,J., Hill, M. : Statistická analýza vícerozměrných dat v příkladech, ACADEMIA, Praha 2012, ISBN 978-80-200-2071-0
Teaching methods
Classic, group, interactive with presentation in MS PowerPoit. Compulsory participation in seminars is 75%. Participation in consultations in the combined study is 50%.
Assessment methods
Method of completion: credit. Credit will be awarded for active participation and elaboration of a seminar paper.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: 12 hodin KS/semestr.
The course is also listed under the following terms Summer 2020, Summer 2021, Summer 2023, Summer 2024.
  • Enrolment Statistics (Summer 2022, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/summer2022/N_StM