INMBKSTK Statistics

School of Business Administration in Karvina
Summer 2025
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.
Timetable
Sat 8. 3. 8:05–9:40 VYAULA, Sat 29. 3. 8:05–9:40 VYAULA, Sat 26. 4. 8:05–9:40 VYAULA
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: 67/220, only registered: 3/220
fields of study / plans the course is directly associated with
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.
Learning outcomes
Upon completion of the course, the student will be able to:
Calculate position characteristics (mode, median, quantiles, means) and variability characteristics (variance, standard deviation, range);
understand probability models and be able to apply them in practice;
understand the process of hypothesis testing;
explain the meaning of significance levels and p-values;
calculate the goodness-of-fit test and test for independence of qualitative traits;
understand simple regression analysis;
apply and explain the least squares method;
interpret the coefficient of determination and its meaning in regression analysis.
Syllabus
  • 1. Descriptive statistics - qualitative and quantitative features Statistical unit and statistical population. Frequency distribution of qualitative traits. Frequency distribution of quantitative traits. Location characteristics (modus, median, quantiles, means). Variability characteristics (variance, standard deviation, range). Coefficient of variation.
  • 2. Probability Classical definition of probability. Combinatorics. Conditional probability and its applications.
  • 3. Random variable Discrete and continuous random variable. Characteristics of a random variable (position and variability characteristics). Functions of a random variable.
  • 4. Discrete probability models Uniform distribution. Binomial distribution. Poisson distribution.
  • 5. Continuous probability models Uniform distribution. Normal distribution. Exponential distribution. Chi-square distribution. Student's distribution.
  • 6. Point and interval estimates Principle of point and interval estimation. Confidence intervals.
  • 7. Hypothesis testing - parametric and non-parametric tests Basic concepts of hypothesis testing. Hypothesis testing procedure. Significance level and p-value of the test. Two-sample tests. Goodness-of-fit test (Chi-square test). Testing for independence of qualitative traits.
  • 8. Simple regression analysis Statistical dependence between two quantitative traits. Simple linear regression. Least squares method. Classical linear model. Coefficient of determination.
Literature
    required literature
  • RAMÍK, J. a R. STOKLASOVÁ. Statistika. Karviná: SU OPF, 2012. ISBN 978-80-7248-198-3. info
    recommended literature
  • RAMÍK, Jaroslav and Šárka ČEMERKOVÁ. Statistika A. 3. rozšířené a upravené. Karviná: Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné, 2000. ISBN 80-7248-097-9. info
  • RAMÍK, Jaroslav and Šárka ČEMERKOVÁ. Statistika B. 2. rozšířené a upravené. Karviná: Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné, 2000. ISBN 80-7248-099-5. 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
Teaching methods
lectures, class discussions, projects, homework
Assessment methods
Written exam (60% of the assessment)
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 12 HOD/SEM.
The course is also listed under the following terms Summer 2016, Summer 2017, Summer 2018, Summer 2019, Summer 2020, Summer 2021, Summer 2022, Summer 2023, summer 2024.
  • Enrolment Statistics (recent)
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