Lecturer(s)
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Gangur Mikuláš, Doc. RNDr. Ph.D.
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Course content
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Empirical research, hypothesis, planing and steps of research Data sources for research, techniques of data gathering Introduction to hypothesis testing, type 1 and type 2 errors, interpretation of results, test validity and reliability Normality tests (chí-square, Liliefors test, graphical tests,), independence in contingency table, Chi-square test for independence. One-sample tests (mean, variance, standard deviation) relation to interval estimation Two-sample tests (means equity, variances equity, relative frequncies equity, paired two-sample test) One factor ANOVA Fundamentals of regression and correlation analysis.
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Learning activities and teaching methods
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Lecture with practical applications, Individual study, Self-study of literature, Practicum
- Preparation for an examination (30-60)
- 30 hours per semester
- unspecified
- 30 hours per semester
- Contact hours
- 52 hours per semester
- Preparation for formative assessments (2-20)
- 20 hours per semester
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prerequisite |
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Knowledge |
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apply basic knowledge of statistic (KEM/STA) |
Skills |
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determine characteristics of statistics file |
determine quantiles of random variable |
work in MS Excel |
Competences |
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N/A |
N/A |
N/A |
N/A |
learning outcomes |
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Knowledge |
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process procedures of different types of real data |
process data for software |
interpret and present data |
Skills |
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assemble the research plan |
assemble questionaire for research |
make the suitbale random selection from population |
formulate research hypothesis and statisticaly evaluate them |
determine distribution parameters using statistical test |
realize the test of mean equivalence for two or more samples |
decide about normality of data |
realize chi square in contingency table |
use statistical software for analyzing and statistical evaluation of data |
Competences |
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N/A |
N/A |
teaching methods |
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Knowledge |
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Practicum |
Self-study of literature |
Individual study |
Interactive lecture |
Task-based study method |
E-learning |
Skills |
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Practicum |
Individual study |
Project-based instruction |
Task-based study method |
Lecture |
E-learning |
Discussion |
Competences |
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Lecture supplemented with a discussion |
Individual study |
Task-based study method |
Practicum |
E-learning |
assessment methods |
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Knowledge |
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Written exam |
Test |
Seminar work |
Practical exam |
Skills |
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Skills demonstration during practicum |
Practical exam |
Project |
Seminar work |
Competences |
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Practical exam |
Project |
Recommended literature
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Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Vyd. 2., opr. Praha : Portál, 2006. ISBN 80-7367-123-9.
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Pecáková, Iva. Statistika v terénních průzkumech. 2., dopl. vyd. Praha : Professional Publishing, 2011. ISBN 978-80-7431-039-3.
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Řezanková, Hana. Analýza dat z dotazníkových šetření. 3., aktualiz. vyd. Praha : Professional Publishing, 2011. ISBN 978-80-7431-062-1.
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Řezanková, Hana. Analýza kategoriálních dat. Vyd. 1. Praha : Oeconomica, 2005. ISBN 80-245-0926-1.
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