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Lecturer(s)
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Krejčová Anna, doc. Ing. Ph.D.
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Course content
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Credibility of lab - quality management systems, concepts, current laws, Czech and European standards. Quality Manual. Standard operating procedure. The sampling protocol. Report on the results. The basic structure, practical examples. Introduction to data analysis. Types of errors. Correctness, accuracy, consistency. Uncertainty - definition, components, process for estimating uncertainty practical calculations. Basic operations and analytical uncertainties, examples of calculations. Measures of location, dispersion and shape. Point and interval estimates. Practical examples from biochemical and chemical laboratories. Hypothesis testing. Practical examples from biochemical and chemical laboratories. Analysis of variance. Practical examples from biochemical and chemical laboratories. Linear regression. Practical examples from biochemical and chemical laboratories. The selection of optimal methods - evaluation factors considered. Validation of analytical methods, data, software, practical examples. Quality, security, management and auditing. The quality system documentation. Control charts.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Skills training
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Learning outcomes
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Provide students with simple statistical procedures on a computer to analyze experimental one-dimensional data and learn to work with software tools (Excel, Statistica). Teach students how to apply statistical tools in routine laboratory practice when handling chemical data.
After passing the course, student are able to simply evaluate one-dimensional laboratory data, estimate uncertainties, parameters of location, dispersion and shape, to test the accuracy and consistency, and find outlier values, to extracted from the data the maximum amount of useful information. Students can work with analysis of variance and linear regression. They can apply the statistical resources in laboratory practice to solve common operational tasks, such as validation of methods.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination, Student performance assessment
Basic PC skills are required. There are no special requirements for students or the assumptions on the prior knowledge of statistics and mathematics. Students should be familiar with using a computer and basic software (eg Microsoft Office), and when working with text and graphs.
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Recommended literature
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Platné české právní předpisy a normy.
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Crosby, N. T., Prichard, F. E. Quality in the Analytical Laboratory. Chichester, 1995.
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Mestek, O., Nondek, L. Zásady správného odběru vzorků pro analýzu životního prostředí. Praha, 1995.
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