Objectives and competences

• understanding basic concepts of statistics • apply such knowledge and understand the solution of practical problems • computational and data-processing skills • competence in planning experiments, collecting, analyzing and interpreting data • ability to critically evaluate empirical research

Content (Syllabus outline)

• basic definitions – statistical variables, representing statistical data, indices • frequency distribution – classification data, graphical representation • quantiles and box-plot • measure of central tendency, measure of variability, measure of skewness and kurtosis • probability distributions and distributions of sample statistics • sampling and experimental designs in agriculture • estimation of population mean, one sample t-test, paired samples t-test, independent samples t-test, testing proportions, analysis of variance, multiple comparisons tests • regression and correlation • time series (components of time series) • chi-square test • analysing the data with statistical package SPSS

Learning and teaching methods

lectures tutorials computer practicals self-study

Intended learning outcomes - knowledge and understanding

Students should be able: • to apply fundamental concepts in exploratory data analysis, • to comprehend the basic ideas of statistical inference, study design and data collection relevant to experiments that are typical for natural sciences, • to determine the appropriate statistical test, given the research question and the type of data, • to carry out the needed analyses for the discussed situations and interpret the results in terms of the problem, • to perform independently data analysis with the computer package SPSS and interpret the SPSS output, • to recognize pitfalls in using statistical methodology, • and to know statistical terminology in English.

Intended learning outcomes - transferable/key skills and other attributes

Readings

• T. Kraner Šumenjak, V. Sem, Tables, formulas, and exercises with key for biometrics, vir je dostopen: http://press.um.si/index.php/ump/catalog/book/336 • D. Horvat in M. Ivezić, Biometrika o poljoprivredi, Osijek 2005. • K. Košmelj, Uporabna statistika, Biotehnična fakulteta, Ljubljana 2001. • Đ. Vasilj, Biometrika, Hrvatsko agronomsko društvo, Zagreb 2000. • S. Hadživuković, Statistički metodi, Poljoprivredni fakultet, Novi Sad 1991.

Prerequisits

None.