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Lecturer(s)
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Riegert Jan, doc. Mgr. Ph.D.
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Poláková Simona, Mgr.
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Course content
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Content of lectures: Data structure and their visualisation, random variable, discrete and continuous distributions, special distributions, basic descriptive statistics, the principle of statistical testing, chi-square test, t-tests, ANOVA
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration
- Preparation for classes
- 30 hours per semester
- Semestral paper
- 30 hours per semester
- Preparation for credit
- 30 hours per semester
- Class attendance
- 30 hours per semester
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Learning outcomes
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The course presents the introduction to the basic statistic methods. Students will solve individually the examples related to the lectures with Statistica program. The interpretation of results will be accentuated. The students will use these statistical methods for individual analysis of their measured data.
Student will learn how to work with: data structure and their visualisation distributions special distributions basic descriptive statistics the principle of statistical testing chi-square test t-tests ANOVA
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Prerequisites
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Benefit is logical and mathematical thinking.
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Assessment methods and criteria
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Combined exam
To pass exam is needed to obtain at least 70% points in combined test (solve math problems, oral exam).
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Recommended literature
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Havránek, T. (1993) Statistika pro biologické a lékařské vědy. Academia, Praha..
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https://www.scio.cz/o-vzdelavani/teorie-a-metodika-testu/statisticke-pojmy/.
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Lepš, J. (1996) Biostatistika. Jihočeská univerzita, České Budějovice (a literatura tam citovaná)..
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Sokal, R. R. and Rohlf, F. J. (1981) Biometry, 2nd ed. Freeman & Comp., San Francisco..
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Volenec K., Hanuš J., Lázníček M. Využití statistických metod v medicíně. Masarykova univerzita Brno, 2011.
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