Předmět Processing and Interpretation of Biological Data (IAI42E)

Na serveru studentino.cz naleznete nejrůznější studijní materiály: zápisky z přednášek nebo cvičení, vzorové testy, seminární práce, domácí úkoly a další z předmětu IAI42E - Processing and Interpretation of Biological Data, Fakulta tropického zemědělství, Česká zemědělská univerzita v Praze (ČZU).

Materiál	Typ	Datum	Počet stažení

Osnova

PřednáškaFormulation of research questions, design of data collection, setting of seminar work Types of biological data, basic statistical parameters and variability measures Hypothesis testing Probability and distribution Categorical data: tests of goodness of fit, contingency tables Quantitative data: two sample sets, assumptions, application Analysis of variance: one way, assumptions, applications Analysis of variance: two way, factorial, hierarchical design Non-parametric methods of statistical analysis Correlation and simple linear regression Multiple regression Multivariate methods of statistical data treatment CvičeníBasic statistical parameters and variability measures Basic statistical parameters and variability measures Software support for data processing: descriptive statistics Software support for data processing: contingency tables, Student t-tests Calculation of analysis of variance Software support for data processing: ANOVA Calculation of parametric and non-parametric comparison of two sample sets Calculation of parametric and non-parametric comparison of two sample sets Software for data processing: non-parametric tests, correlation, regression Software for data processing: non-parametric tests, correlation, regression Students' presentations of seminar works Students' presentations of seminar works

Získané způsobilosti

Znalosti:Students have a wide knowledge about data collection, data handling, treatment and interpretation of biological data. They know the importance of various statistical parameters.Dovednosti:Students are able to formulate research questions and statistical hypotheses and preparate data for different statistical analyses. They can also create a graphical or tabular outputs of analyses.Kompetence - komunikace:Students are able to make a comprehensible explanation of statistical analyses and they can interprete and discuss the biological data, namely in the domain of plant and animal ecology and behaviour.Kompetence - úsudek:Students are able to recognize the importance of various statistical parameters and variability of data. They are able to form questions and statistical hypotheses according to their current knowledge or fingding in scientific literature.

Literatura

ZákladníLehner PN. 1998. Handbook of ethological methods. Cambridge University Press, UK, 677 pp.Quinn GP, Keough MJ. 2002. Experimental design and data analysis for biologist.Cambridge, 539 pp.DoporučenáSokal RR, Rohlf FJ. 1995. Biometry. Freeman Co., New York, 887 pp.Zar JH. 1996. Biostatistical analysis. Prentice, London, 942 pp.

Požadavky

None

Garant

doc. RNDr. Pavla Hejcmanová, Ph.D.