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Lecturer(s)
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Course content
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1.-3. Elementary descriptive statistics. 4. The probability theory. 5. Random variables. 6. Probability distributions - discrete, continuous. 7. Random samples. 8. Introduction to the mathematical statistics. 9. Estimation theory - point estimates. 10. Confidence intervals. 11. Hypotheses testing. 12. Parametric tests. 13. Nonparametric tests. 14. Reserve.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 56 hours per semester
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Learning outcomes
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The goal of this course is to explain basic statistical methods and basic concepts of the probability theory in connection with applications in economics.
Ability to use basic procedures of treating data, theory of probability and basic knowledge of data analysis obtained from statistical surveys.
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Prerequisites
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Courses MA1, MA2 - i. e. calculus; computer skills.
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Assessment methods and criteria
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Written exam
Written credit test- min. 60%.
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Recommended literature
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ARTLOVÁ, M. a kol. Sbírka příkladů ze statistiky. (Statistika A) Skripta VŠE Praha. Praha 1998.
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FREUND, J., SIMON, G. Modern elementary statistics. Prentice-Hall. New Jersey 1992..
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HEBÁK, P., KAHOUNOVÁ, J. Pravděpodobnost v příkladech. Informatorium. Praha 1995.
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MANN, P. Statistics for business and economics. Wiley New York 1995..
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MAREK, L. a kol. Statistika pro ekonomy - aplikace. Professional Publishing. Praha 2005.
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TREŠL, J. Success in statistics. Učební texty VŠE. Praha 1998.
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VAN MATRE, J., GILBREATH, G. Statistics for business and economics. Business Publ. Homewood 1987.
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