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The subject is focused on understanding basic statistical methods and their applications, especially in analytical chemistry and clinical biochemistry.
Last update: Kania Patrik (23.08.2024)
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Students will be able to: • apply basic statistical methods for evaluating measurements in chemistry • optimize measurements • perform analytical method calibration • use contingency tables Last update: Kania Patrik (23.08.2024)
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Getting a credit from credit tests (or for the work out of a project) and successful completion of a written exam test (details during lectures). Last update: Kania Patrik (23.08.2024)
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R: D.L.Massart et all: Handbook of Chemometrics and Qualimetrics, Part A, Elsevier 1997, ISBN 0-444-89724-0 Last update: Kania Patrik (23.08.2024)
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1. Basic terms from probability theory 2. Important probability distributions 3. Numerical characteristics of distribution 4. Basic processing and exploratory data analysis 5. Random sample and its characteristics 6. Hypothesis testing 7. Parametric statistical tests 8. Non-parametric statistical tests 9. One-factor analysis of variance 10. Multi-factor analysis of variance and factorial experiments 11. Optimization methods 12. Contingency tables 13. Correlation and regression analysis, calibration of the analytical method 14. Measurement uncertainties Last update: Kania Patrik (23.08.2024)
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Study materials will be sent to students by e-mail. Last update: Kania Patrik (23.08.2024)
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Mathematics A Last update: Kania Patrik (02.09.2024)
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