# OPF:INMBKSTK Statistics - Course Information

## INMBKSTK Statistics

**School of Business Administration in Karvina**

summer 2024

**Extent and Intensity**- 12/0/0. 5 credit(s). Type of Completion: zk (examination).
**Teacher(s)**- Mgr. Radmila Krkošková, Ph.D. (lecturer)
**Guaranteed by**- Mgr. Radmila Krkošková, Ph.D.

Department of Informatics and Mathematics - School of Business Administration in Karvina

Contact Person: Mgr. Radmila Krkošková, Ph.D. **Prerequisites**(in Czech)- FAKULTA ( OPF ) && TYP_STUDIA ( B ) && FORMA ( K )
**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 220 student(s).

Current registration and enrolment status: enrolled:**0**/220, only registered:**0**/220 **fields of study / plans the course is directly associated with**- there are 11 fields of study the course is directly associated with, display
**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**- RAMÍK, J. a R. STOKLASOVÁ.
*Statistika*. Karviná: SU OPF, 2012. ISBN 978-80-7248-198-3. info

*required literature*- RAMÍK, J. a Š. ČEMERKOVÁ.
*Statistika A*. Karviná: SU OPF, 2000. ISBN 80-85879-43-3. info - RAMÍK, J. a Š. ČEMERKOVÁ.
*Statistika B*. Karviná: SU OPF, 2000. ISBN 80-7248-001-4. info - CYHELSKÝ, L., J. KAHOUNOVÁ a R. HINDLS.
*Elementární statistická analýza*. Praha: Management Press, 1996. ISBN 80-7261-003-1. info - SEGER, J. a R. HINDLS.
*Statistické metody v tržním hospodářství*. Praha: Victoria Publishing, 1995. ISBN 80-7187-058-7. info - WONNACOT, T. H. and J. W. WONNACOT.
*Introductory statistics for business and economics*. New York: Wiley and Sons, 1990. ISBN 0-4716-1517-X. info

*recommended literature*- RAMÍK, J. a R. STOKLASOVÁ.
**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: Přednáška 12 HOD/SEM.

- Enrolment Statistics (summer 2024, recent)
- Permalink: https://is.slu.cz/course/opf/summer2024/INMBKSTK