OPF:INMBPSME Statistical Methods for Econom - Course Information

INMBPSME Statistical Methods for Economists

Extent and Intensity

2/1/0. 5 credit(s). Type of Completion: zk (examination).

Teacher(s)

Ing. Elena Mielcová, Ph.D. (lecturer)
Mgr. Radmila Krkošková, Ph.D. (seminar tutor)
Ing. Elena Mielcová, Ph.D. (seminar tutor)
Ing. Zuzana Neničková, Ph.D. (seminar tutor)

Guaranteed by

Ing. Elena Mielcová, Ph.D.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Contact Person: Mgr. Radmila Krkošková, Ph.D.

Prerequisites (in Czech)

K absolvování předmětu nejsou vyžadovány žádné podmínky a předmět může být zapsán nezávisla na jiných předmětech.

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

• Banking (programme OPF, B_HOSPOL)
• Managerial Informatics (programme OPF, B_SYSINF)
• Marketing and Management (programme OPF, B_EKOMAN)
• Logistics Management (programme OPF, B_EKOMAN)

Course objectives

The objective is to provide a deeper insight into statistical methods suitable for multivariate data analysis, provide theoretical tools for the selected methods, and teach how to apply them, using a computer. The subject also presents special mathematical methods applied in economics, the methods being an indispensable part of modern management. Students learn the methods in such a way that they are able to apply them in marketing, and they also learn to control production quality in all stages of a production process, i.e. in the pre-production, production and the post-production stage.

Syllabus

• 1. Elementary statistical terms and methods
  2. Hypothesis testing in marketing - parametric tests
  3. Hypothesis testing in marketing - nonparametric tests
  4. Regression analysis
  5. Correlation analysis
  6. Analysis of variance
  7. Analysis of variance: two factors and Latin squares
  8. Full experimental plans
  9. Fractional experimental plans
  10. Two-level fractional plan
  11. Taguchi's methods: loss functions
  12. Taguchi's methods: total quality costs
  13. Methods of sales prediction
  1. Elementary statistical terms and methods
  Measures of central tendency, measures of variability, skewness, kurtosis, statistical sample with two variables, hypothesis testing in general.
  2. Hypothesis testing in marketing - parametric tests
  A marketing study, what hypothesis testing brings in marketing, one-sample t-test, two-sample t-test - the nonpaired and paired versions.
  3. Hypothesis testing in marketing - nonparametric tests
  Testing median, the chi-squared test for one sample, two-sample tests, the chi-squared test for two samples, Mann's-Whitney's test, Wilcoxon's paired test.
  4. Regression analysis
  The concept of regression, estimation of regression coefficients, testing significance of regression coefficients, confidence intervals for regression coefficients, testing model significance.
  5. Correlation analysis
  Correlation coefficient, correlation index, Spearman's (rank) correlation, multivariate linear dependence - relations for two explanatory variables.
  6. Analysis of variance (ANOVA)
  One-factor ANOVA, a measure of dependence.
  7. Analysis of variance (ANOVA): two factors and Latin squares
  Two factors, three factors (Latin squares).
  8. Full experimental plans
  Foundations of experimenting and its applications, experimental procedure, factor effect, factor significance, testing factor significance, graphical assessment of factor effect, graphs of interactions, modelling experiment.
  9. Fractional plans
  Graphical evaluation of factor effect in fractional plans.
  10. Two-level fractional plan
  Half plans, graphical method.
  11. Taguchi's methods: loss functions
  Definition and properties of loss functions, loss function for various types of tolerances.
  12. Taguchi's methods: total quality costs
  Monitoring quality costs, control charts.
  13. Methods of sales prediction
  Analysis of trends, analysis of seasonality, model of constant seasonality, analysis of the random component of a regression model, testing properties of the random term, predictions, causal and prognostic methods.

Literature

required literature
• RAMÍK, J., STOKLASOVÁ, R., TOŠENOVSKÝ, J. Statistické metody pro ekonomy. Karviná: OPF SU, 2003. ISBN 80-85943-63-8. info

recommended literature
• DANIEL, W. W., TERREL, J. Business statistics for management and economics. Houghton Mifflin, 2005. ISBN 978-03957-280-25. info
• BLECHARZ, P. Základy metody DOE (Taguchiho přístup). Ostrava : REPRONIS, 2005. ISBN 80-7329-106-1. info
• TOŠENOVSKÝ, J. Průvodce hodnocením způsobilosti. Ostrava, 2003. info
• TOŠENOVSKÝ J., NOSKIEVIČOVÁ, D. Statistické metody pro zlepšování jakosti. Ostrava : Montanex, 2000. ISBN 80-7225-040-X. 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)

The course can also be completed outside the examination period.

Teacher's information

https://elearning.opf.slu.cz/course/view.php?id=607
In-seminar tests, 70% attendance in seminars; the form of the exam: written test.

Activity	Difficulty [h]
Ostatní studijní zátěž	66
Přednáška	26
Seminář	13
Zkouška	40
Summary	145

• Enrolment Statistics (Winter 2017, recent)
  
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