OPF:INMBPSTA Statistics - Course Information
INMBPSTA Statistics
School of Business Administration in KarvinaSummer 2020
- Extent and Intensity
- 2/1/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Radmila Krkošková, Ph.D. (lecturer)
prof. RNDr. Jaroslav Ramík, CSc. (lecturer)
Mgr. Radmila Krkošková, Ph.D. (seminar tutor)
doc. Mgr. Jiří Mazurek, Ph.D. (seminar tutor)
Ing. Zuzana Neničková, Ph.D. (seminar tutor)
Ing. Radomír Perzina, Ph.D. (seminar tutor)
prof. RNDr. Jaroslav Ramík, CSc. (seminar tutor) - Guaranteed by
- prof. RNDr. Jaroslav Ramík, CSc.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Contact Person: Mgr. Radmila Krkošková, Ph.D. - Timetable
- Mon 8:05–9:40 AULA
- Timetable of Seminar Groups:
INMBPSTA/02: Wed 8:55–9:40 B101, R. Krkošková - Prerequisites (in Czech)
- FAKULTA ( OPF ) && TYP_STUDIA ( B ) && FORMA ( P )
K absolvování předmětu nejsou vyžadovány žádné podmínky a předmět může být zapsán nezávisle na jiných předmětech. - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 280 student(s).
Current registration and enrolment status: enrolled: 0/280, only registered: 0/280 - fields of study / plans the course is directly associated with
- Banking (programme OPF, B_HOSPOL)
- Business Economics in Trade and Services (programme OPF, B_EKOMAN, specialization Economy of Tourism)
- Marketing and Management (programme OPF, B_EKOMAN)
- Accounting and Taxes (programme OPF, B_EKOMAN)
- Public Economy and Administration (programme OPF, B_HOSPOL)
- Course objectives
- The course objective is to teach the students the principles of mathematical and economical statistics. The course acquaints students with the basic mathematical and statistical methods of data analysis with respect to real applications in economy. The course follows after the basic courses of calculus and information science. The student should acquire also appropriate calculation skills and should be able to solve statistical problems by Excel on PC. It leads to the creating of the essential profile of all students at the School of Business Administration. At the same time it is the base of the university education of further economic courses on the bachelor's as well as the master's study.
- Syllabus
- 1. Statistics and its importance
2. Descriptive statistics - quantitative and qualitative variables
3. Elements of probability
4. Random variable
5. Discrete probability models
6. Continuous probability models
7. Point estimation
8. Confidence intervals
9. Hypotheses testing - parametric tests
10. Hypotheses testing - non-parametric tests
11. Analysis of variance - ANOVA
12. Simple regression analysis
1. Statistics and its importance
Statistical methods in business and entrepreneurship, descriptive and inductive statistics, statistics in decision making.
2. Descriptive statistics - quantitative and qualitative variables
Qualitative and quantitative variables, frequency distribution, characteristics of central tendency, characteristics of variation, variance, standard deviation.
3. Elements of probability
Random event, combinatorics, intuitive definition of probability, probability as a relative frequency, properties of probability.
4. Random variable
Discrete and continuous random variable, characteristics of random variable, characteristics of central tendency and variation (mean, variance and standard deviation)
5. Discrete probability models
Probability function, distribution function, uniform distribution, binomial distribution, Poisson distribution, other well known discrete distributions.
6. Continuous probability models
Density function, uniform distribution, normal distribution, lognormal distribution, exponential distribution other discrete distributions.
7. Point estimation
Point estimation and its properties.
8. Confidence intervals
Interval estimation and its properties, confidence intervals for the mean, variance and ratio.
9. Hypotheses testing - parametric tests
Statistical testing, kinds of hypotheses, one-sided and two-sided tests, test for the mean value, and the variance.
10. Hypotheses testing - non-parametric tests
Chi-square distribution, chi-square tests of goodness of fit, test of independence in the contingence tables.
11. Analysis of variance - ANOVA
One-way ANOVA, Fisher's distribution F, F-test for the mean, two-way ANOVA.
12. Simple regression analysis
Regression linear model, least squares method, linear regression function, prediction in time series.
- 1. Statistics and its importance
- Literature
- required literature
- RAMÍK, J., ČEMERKOVÁ, Š. Kvantitativní metody B - Statistika. Distanční studijní opora. Karviná, OPF SU, 2003. ISBN 80-7248-198-3. info
- recommended literature
- ANDĚL, J. Základy matematické statistiky. Praha : Matfyzpress, 2011. ISBN 978-80-7378-162-0. info
- HINDLS, R. Statistika pro ekonomy. Praha : Professional Publishing, 2007. ISBN 978-80-86946-43-6. info
- MAREK,L. a kol. Statistika pro ekonomy - aplikace. Praha : Professional Publishing, 2007. ISBN 978-80-86946-40-5. info
- DANIEL, W. W., TERREL, J. Business statistics for management and economics. Houghton Mifflin, 2005. ISBN 978-03957-280-25. info
- HINDLS, R., HRONOVÁ, S., NOVÁK, I. Metody statistické analýzy pro ekonomy. Praha : Management Press, 2000. ISBN 80-7261-013-9. info
- RAMÍK, J., ČEMERKOVÁ, Š. Statistika pro ekonomy. Karviná: OPF SU, 2000. info
- VAN MATRE, J. G., GILBREATH, G. H. Statistics for Business and Economics. BPI/IRWIN, Homewood, 1997. ISBN 0-256-03719-1. info
- Teaching methods
- Skills demonstration
Seminar classes - Assessment methods
- Written exam
Written test - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period. - Teacher's information
- test, exam test
Activity Difficulty [h] Ostatní studijní zátěž 91 Přednáška 26 Seminář 13 Zkouška 40 Summary 170
- Enrolment Statistics (recent)
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