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Lecturer(s)
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Prokešová Michaela, RNDr. Ph.D.
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Course content
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Research representative and unrepresentative samples. Methods of measurement and data acquisition. Pilot studies and its significance. Statistical tests, parametric tests, nonparametric tests, correlation. Interpretation of the results of the research. Reviews scientific reports.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 28 hours per semester
- Preparation for credit
- 3 hours per semester
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Learning outcomes
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Application of the statistics and probability - the solving of simple problems of data processing.
Knowledge of information technology in health care and basic data analysis methods
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Prerequisites
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Information Technology and Statistics 1
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Assessment methods and criteria
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Written exam
Requirements on credit: Submitting all the rolling assignments
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Recommended literature
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NEUBAUER, Jiří, Marek SEDLAČÍK a Oldřich KŘÍŽ. Základy statistiky: aplikace v technických a ekonomických oborech. Praha: Grada, 2016. ISBN 978-80-247-5786-5.
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PECINOVSKÝ, Josef a Rudolf PECINOVSKÝ. Office 2016: průvodce uživatele. Praha: Grada, 2016. ISBN 978-80-247-5691-2.
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