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Lecturer(s)
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Petr Jan, doc. RNDr. Ph.D.
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Pluháček Tomáš, RNDr. Ph.D.
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Course content
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Introduction to the data processing, data sources, graphical visualization of the data, basis of the theory of probability, distribution function, numerical characteristics of random variables, discreet and connected distributions of probability, normal distribution, estimation of parameters of probability distributions, point and interval estimations of position and dispersion, hypotheses testing, tests for elimination of distant values, correctness tests, mean values tests, pairing tests, introduction to linear regression, method of the smallest squares, correlation coefficient, graphical visualization, calibration, limits of detection and quantification, statistical calculations in MS Excel
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming)
- Attendace
- 26 hours per semester
- Homework for Teaching
- 13 hours per semester
- Preparation for the Course Credit
- 21 hours per semester
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Learning outcomes
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The aim of this course is to introduce to students basics of statistical methods used in chemistry.
To describe basic facts in applied statistics in chemistry; to recognize and use statistical methods for the data processing
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Prerequisites
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The knowledge of basics of general, organic, anorganic, physical, analytical chemistry and biochemistry is recommended.
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Assessment methods and criteria
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Oral exam, Written exam
A student should be able to present basic facts about taught themes and to solve basic tasks of the data processing. The examination is done by a test where minimally 60 % points should be correct followed by an oral colloquium on two optional themes.
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Recommended literature
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D. T. Harvey: Modern Analytical Chemistry. McGraw Hill 1999..
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J. N. Miller, J. C. Miller: Statistics and Chemometrics for Analytical Chemistry. Pearson Prentice Hall 2005..
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J. Pavlík a kol.: Aplikovaná statistika. Vydavatelství VŠCHT, Praha 2005..
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J. Zvárová: Základy statistiky pro biomedicínské obory. Karolinum, Praha 1998..
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L. Cyhelský, E. Souček: Základy statistiky. Vysoká škola finanční a správní, Praha 2009..
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