Czech

Not applicable.

Completion of the course will give to students the following benefits:

1. Students will be able to perform basic statistical analysis of the results of chemical analyzes used in analytical practice
2. Students will be abls to apply control procedures used for quality data assurance/quality data control (QA/QC) in analytical laboratories
3. Students will understand the basic methods of processing and interpretation of environmental data and they will be able to apply them in solving of real tasks

Basic knowledge of mathematical statistics and probability in the extent of secondary studies.

Not applicable.

Not applicable.

Not applicable.

1. Introduction, characteristics of analytical results, calculation rounding, errors of analytical results
2. Statistics of repeated measurements: normal and log-normal distribution, estimations of mean and variance, confidence intervals
3. Significance tests: accuracy, precision, trueness, analysis of variance (ANOVA)
4. Quality of analytical measurements, Shewhart charts
5. Uncertainity of analytical results
6. Calibration methods: Regression and correlation
7. Non-parametric and robust methods
8. Introduction to multivariate analysis
9. Application examples from the environmental data treatment

Not applicable.

The goals of the course are:
1. To deepen and complete students' knowledge in the field of statistics obtained in previous studies
2. To acquaint students with the specifics of processing results in the field of analytical chemistry

Not applicable.

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M. Meloun, J. Militký, Kompendium statistického zpracování dat. Academia 2001, ISBN 80-200-1008-4 (CS)
J. Pavlík a kol., Aplikovaná statistika, VŠCHT Praha, 2005, ISBN 80-7080-569-2 (CS)

Not applicable.