INMBASTA Statistics

School of Business Administration in Karvina
Summer 2016
Extent and Intensity
2/1/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Jaroslav Ramík, CSc. (lecturer)
Mgr. Radmila Krkošková, Ph.D. (seminar tutor)
doc. Mgr. Jiří Mazurek, Ph.D. (seminar tutor)
Ing. Elena Mielcová, Ph.D. (seminar tutor)
Ing. Radomír Perzina, Ph.D. (seminar tutor)
prof. RNDr. Jaroslav Ramík, CSc. (seminar tutor)
Ing. Filip Tošenovský, Ph.D. (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.
Prerequisites
No specific conditions and courses are required, however, the course should follow after the basic courses of calculus and information science.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
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.
Syllabus
  • 1. Statistics and its importance
    2. Descriptive statistics - qualitative variables
    3. Descriptive statistics - quantitative variables
    4. Elements of probability
    5. Random variable
    6. Discrete probability models
    7. Continuous probability models
    8. Point estimation
    9. Confidence intervals
    10. Hypotheses testing - parametric tests
    11. Hypotheses testing - non-parametric tests
    12. Analysis of variance - ANOVA
    13. 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 - qualitative variables
    Qualitative variables, frequency distribution, characteristics of central tendency, characteristics of variation.
    3. Descriptive statistics - quantitative variables
    Qualitative and quantitative variables, frequency distribution, characteristics of central tendency, characteristics of variation, variance, standard deviation.
    4. Elements of probability
    Random event, combinatorics, intuitive definition of probability, probability as a relative frequency, properties of probability.
    5. Random variable
    Discrete and continuous random variable, characteristics of random variable, characteristics of central tendency and variation (mean, variance and standard deviation)
    6. Discrete probability models
    Probability function, distribution function, uniform distribution, binomial distribution, Poisson distribution, other well known discrete distributions.
    7. Continuous probability models
    Density function, uniform distribution, normal distribution, lognormal distribution, exponential distribution other discrete distributions.
    8. Point estimation
    Point estimation and its properties.
    9. Confidence intervals
    Interval estimation and its properties, confidence intervals for the mean, variance and ratio.
    10. Hypotheses testing - parametric tests
    Statistical testing, kinds of hypotheses, one-sided and two-sided tests, test for the mean value, and the variance.
    11. Hypotheses testing - non-parametric tests
    Chi-square distribution, chi-square tests of goodness of fit, test of independence in the contingence tables.
    12. Analysis of variance - ANOVA
    One-way ANOVA, Fisher's distribution F, F-test for the mean, two-way ANOVA.
    13. Simple regression analysis
    Regression linear model, least squares method, linear regression function, prediction in time series.
Literature
    required literature
  • WONNACOT, H.W., WONNACOT, J.W. Introductory Statistics for Business and Economics. New York, USA, 1990. ISBN 978-0-471-61517-. info
  • WONNACOT, H.W., WONNACOT, J.W. Introductory Statistics for Business and Economics. New York, USA, 1989. ISBN 0-256-03719-1. info
    recommended literature
  • DANIEL, W. W., TERREL, J. Business statistics for management and economics. Houghton Mifflin, 2005. ISBN 978-03957-280-25. 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
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
written test, written exam test, 70% attendance at the seminars
ActivityDifficulty [h]
Ostatní studijní zátěž91
Přednáška26
Seminář13
Zkouška40
Summary170
The course is also listed under the following terms Summer 2015, Summer 2017, Summer 2018, Summer 2019, Winter 2021, Summer 2022, summer 2024.
  • Enrolment Statistics (Summer 2016, recent)
  • Permalink: https://is.slu.cz/course/opf/summer2016/INMBASTA