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Lecturer(s)
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Hron Karel, prof. RNDr. Ph.D.
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Vencálek Ondřej, doc. Mgr. Ph.D.
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Fačevicová Kamila, Mgr. Ph.D.
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Course content
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1. Simple random sample. 2. Estimator of expectation, estimation of variability measures. 3. Sample size. 4. Relative and absolute frequencies. 5. Interval estimation. 6. Simple random sample with replacement. 7. Sample with different probabilities. 8. Ratio estimator. 9. Regression estimator. 10. Stratified random sampling. 11. Group random sampling. 12. Two-stage sampling.
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Learning activities and teaching methods
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Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
- Preparation for the Exam
- 40 hours per semester
- Attendace
- 39 hours per semester
- Preparation for the Course Credit
- 20 hours per semester
- Homework for Teaching
- 20 hours per semester
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Learning outcomes
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Understand mathematical statistics in the case of sampling from finite populations and its applications.
Application Apply methods of mathematical statistics in the case of sampling from finite populations.
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Prerequisites
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Without prior requirements.
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Assessment methods and criteria
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Oral exam, Written exam
Credit: active participation in exercises; the student independently solves assigned tasks, in which demonstrates an understanding of statistical methods in the case of sampling from finite populations and the ability to actively work with them Exam: the student demonstrates knowledge and understanding of statistical methods in the case of sampling from finite populations
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Recommended literature
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ČSÚ. (2017). Výběrové šetření pracovních sil. AHM.
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Hájek, J. (1981). Sampling from a Finite Population. New York: Dekker.
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Thompson, S. K. (2012). Sampling. Wiley New York.
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V. Čermák. (1980). Výběrové statistické zjišťování. SNTL/ALFA, Praha.
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Vorlíčková, D. (1985). Výběry z konečných souborů. Praha: Univerzita Karlova.
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