The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 23 fields of study the course is directly associated with, display
At the end of the course students should understand the application of selected statistical methods in the evaluation of data in life sciences since the content of the lecture includes - evaluation of experimental results and methods, errors in data and calculations, significance testing for quantitative and qualitative data, and the use of regression and correlation analysis. The applications are focused especially on (bio)chemistry, microbiology and biotechnology.
Student will be able:
-to understand basic statistical tests in the literature;
-to evaluate common statistical data in life sciences and biotechnology;
- to apply standard regression and correlation analysis to bioprocesses;
Application of statistical methods in evaluation of experimental data in (bio)chemistry, biotechnology and microbiology.
Statistical characteristics, types of distribution.
Confidence intervals, null and alternative hypotheses, testing the significance of data.
Elimination of systematic errors in parallel data. The use of Poisson distribution for the testing of microbiological data.
Testing qualitative data, efficiency determination of bioactive substances.
Linear regression, a simple linearity test.
Linear regression in the calibration of methods and analysis error calculation.
Impact of result variability on calculation of the determination limit.
Non-linear regression and its application in bioprocess models.
Testing linear and non-linear models.
Impact of result variability on determination of parameters of selected processes in biochemistry, physiology and biotechnology.
MICHÁLEK, Jaroslav. Biometrika. 1. vyd. Praha: Státní pedagogické nakladatelství, 1982. 404 s. info
ECKSCHLAGER, Karel, Ivan HORSÁK and Zdeněk KODEJŠ. Vyhodnocování analytických výsledků a metod. 1. vyd. Praha: Státní nakladatelství technické literatury, 1980. 223 s. + l. info
MURRAY, John. Statistics. 1st ed. London: R.C. Solomon, 1996. xi, 369 s. ISBN 0-7195-7088-3. info
DORAN, Pauline M. Bioprocess engineering principles. London: Academic Press, 1995. xiv, 439 s. ISBN 0-12-220856-0. info
Lectures based on a brief theory and practical procedures which are related to experiments in biochemistry, chemistry and biology.
Exam is based on a written test using books or lecture materials. The aim is solution of statistical examples and considerations. Fifty % of correct answers is required.
Language of instruction
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week.