The course deals with statistical analysis of experimental data and subsequent interpretations of the results. It provides basic information about the purpose, instruments and methods of statistical analysis. Introduces basic statistical terms, characteristics and relations between them and defines the methods of calculation. An emphasis is placed on the correct choice of methods for evaluating various types of experimental data and interpret results for use in practice. An integral part of the course is also a practical application of methods to real data in software environment for statistical computing (according to the current state of scientific field, for example - Statgraphics, SPSS, SAS, etc.), or in a spreadsheet, during exercises in the computer lab.
Literature
MELOUN, Milan a Jiří MILITKÝ. Statistical data analysis: A practical guide with 1250 exercises and answer key on CD. Philadelphia: Woodhead Publishing India Pvt Ltd, 2011. ISBN 978-93-80308-11-1.
Advised literature
BERTHOUEX, P. Mac a Linfield C. BROWN. Statistics for environmental engineers. 2nd ed. Boca Raton: Lewis Publishers, 2002. ISBN 15-667-0592-4.
OTT, Lyman a Michael LONGNECKER. An introduction to statistical methods & data analysis. 7th ed. Australia: Cengage Learning, 2016. ISBN 978-1-305-26947-7.
TRIOLA, Mario F. Essentials of statistics: understanding conventional methods and modern insights. 5th ed. Boston: Pearson, 2015. ISBN 03-219-2459-2.